Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 100 appraisals
Acta obstetricia et gynecologica Scandinavica
ChatGPT in urogynecology: Comparing large language model responses to human experts
INTRODUCTION: Large language models (LLMs) are increasingly used in healthcare, including urogynecology, where stigma may limit open discussion. LLM-based chat platforms may provide a less intimidating and more accessible way for patients to obtain information, but their reliability requires evaluation. This study compared the quality of ChatGPT-generated responses in urogynecology with those provided by a consultant urogynecologist, focusing on understandability, helpfulness, and reassurance. MATERIAL AND METHODS: A cross-sectional survey was conducted among urogynecology patients. After informed consent, participants reviewed responses to six common questions, each answered by ChatGPT and a single consultant. A blinded third-party consultant verified clinical accuracy. Patients rated responses using a 5-point Likert scale across three domains (maximum score 15 per response). Wilcoxon signed-rank tests were used for comparison. RESULTS: A total of 203 patients participated (median age 56 years, interquartile range 46-66). ChatGPT responses received higher total ratings than consultant responses (76 [67-85] vs. 72 [63-80], p < 0.01). Scores were higher for understandability, helpfulness, and reassurance (all p < 0.01). ChatGPT was preferred in four of six questions, one showed no difference, and one favored the consultant. Subgroup analyses showed no significant variation based on patient characteristics. CONCLUSIONS: In this exploratory study, women rated ChatGPT's responses as clearer and more reassuring than consultant answers. These findings reflect patient perceptions in a limited setting and should be interpreted with caution. While LLMs may have a supportive role in patient education, their use must remain secondary to expert clinical care and subject to careful oversight.
3 Aug 2026
Read appraisal →Ultrasound in medicine & biology
A Systematic Review: The Application of Attention Mechanisms in Medical Ultrasound Image Processing
Among numerous medical imaging modalities, ultrasound imaging is one of the most commonly used diagnostic methods in clinical practice. However, ultrasound diagnosis heavily relies on physician experience, and diagnostic results often lack reproducibility. In recent years, with the rapid development of artificial intelligence technology, which provides new impetus for the automated medical ultrasound image processing and analysis. Among the numerous deep learning approaches proposed, attention mechanisms have become a key component for improving network robustness to cope with challenges in ultrasound imaging, such as low contrast, blurred boundaries, and variable object morphologies. This paper systematically reviews the attention mechanisms employed in medical ultrasound image analysis, which can be roughly divided these mechanisms into three categories based on the differences in feature focus dimensions: channel attention, spatial attention, and hybrid attention. Most importantly, we not only summarized the application scenarios and effectiveness of various attention mechanisms but also analyzed the potential challenges faced in the future.
2 Aug 2026
Read appraisal →Preventing chronic disease
Reducing Rates of Cesarean Delivery in Rural US Communities: A Systematic Review of Interventions and Approaches to Care
INTRODUCTION: Cesarean deliveries are the most common major surgery in the US, with rates rising disproportionately in rural communities. While sometimes medically necessary, unnecessary cesarean births increase risks for maternal death, long-term complications, and intergenerational health effects that contribute to the burden of chronic disease. This systematic review examined studies describing interventions and approaches to care that reported outcomes related to reducing cesarean delivery rates in rural US communities. METHODS: We searched 4 databases in September 2025. Studies were eligible if they were conducted in rural US settings and reported cesarean-related outcomes associated with an intervention or care approach. We categorized interventions as patient level, provider level, or health system level. Two reviewers independently screened articles for inclusion, extracted data, and assessed study quality using the Newcastle-Ottawa Scale and the Joanna Briggs Institute checklist. RESULTS: Nine studies met inclusion criteria. Of the 2 patient-level interventions, psychosocial education was associated with lower cesarean delivery rates (21% in intervention vs 40% in control), whereas a mobile health application showed only a marginal difference (27.1% among application users vs 27.7% among nonusers). None were categorized at the provider level. Seven interventions tested system-level models, primarily comparing hospitals with different staffing patterns; family medicine-led hospitals had lower rates of low-risk nulliparous, term, singleton, vertex cesarean delivery than hospitals staffed by both family medicine physicians and obstetricians (23% vs 28%), certified nurse-midwife-managed births had lower cesarean delivery rates than family medicine physician-managed births (8% vs 14%), and collaborative maternity care models integrating midwives, nurses, and obstetricians were associated with cesarean delivery rates declining from 26.2% to 11.2%. CONCLUSION: System-level approaches, particularly those that restructure maternity care teams, emphasize family medicine physician-led models, and integrate midwifery and culturally grounded childbirth practices, are more consistently associated with lower cesarean delivery rates in rural US settings than patient-level interventions alone. Future efforts to reduce unnecessary cesarean deliveries should prioritize strategies tailored to the variability of rural care capacity.
31 July 2026
Read appraisal →Current psychiatry reports
Postpartum Suicidality beyond Depression: a Systematic Review of Risk Profiles and Prevention Gaps
PURPOSE OF REVIEW: Suicidal ideation and behavior during the postpartum period are increasingly recognized as important contributors to maternal morbidity and mortality, particularly in high-income countries. Although postpartum depression is a well-established risk factor, emerging evidence suggests that suicidality may also occur independently and therefore remain underrecognized in clinical practice. This systematic review aimed to synthesize current evidence regarding the prevalence of suicidal ideation and behavior in the postpartum period and to identify associated risk factors. RECENT FINDINGS: A systematic search of PubMed, Web of Science, EMBASE, and PsycINFO was conducted up to March 2025 following PRISMA guidelines. Twenty studies met inclusion criteria, encompassing 352,726 postpartum women across diverse international settings. Reported prevalence of suicidal ideation ranged from 2.2% to over 50%, depending on the population studied and assessment methods used. The most frequently identified risk factors included postpartum depression, anxiety, trauma history, intimate partner violence, unplanned pregnancy, low socioeconomic status, low social support, and adverse childhood experiences. Notably, several studies reported suicidal ideation even in the absence of clinical depression. Only a limited number of studies addressed preventive interventions. Postpartum suicidality appears to be a multifactorial phenomenon that cannot be explained solely by depressive symptomatology. The findings highlight the need for broader screening strategies that incorporate psychosocial and trauma-related factors in addition to depression. Integrated and trauma-informed approaches to screening and prevention may improve early identification of at-risk individuals. Future research should prioritize longitudinal designs and culturally sensitive investigations to better inform prevention and intervention strategies.
28 July 2026
Read appraisal →Journal of medical Internet research
Digital Health Technologies Are Bridging the Maternal Mortality Gap
Disparities in maternal outcomes along socioeconomic, racial, ethnic, and geographic lines are well established. In this News and Perspectives article, JMIR Correspondent Anika Nayak reports on the growth and potential of digital health interventions in bridging the rural-urban maternal mortality gap.
26 July 2026
Read appraisal →Human vaccines & immunotherapeutics
Factors influencing vaccine uptake during pregnancy: A systematic literature review.
A systematic literature review was conducted to build a comprehensive evidence base of qualitative/quantitative studies to identify barriers and enablers influencing maternal immunization (MI). Searches of seven databases on 20/10/2023 and 26/10/2023 yielded 87,367 records. Two reviewers performed full-text screening of 484 records. English-language articles from countries that had national recommendations for pertussis-containing maternal vaccines and reported on maternal vaccine acceptance, trust, and hesitancy were eligible. Overall, 184 studies were included. Barriers involving individual and group influences like lack of knowledge and reduced awareness of MI, pre-existing anti-vaccination beliefs and attitudes, and perceived concerns about vaccine safety and efficacy were the most prominent. Proactive communication and recommendations from healthcare professionals and public health authorities were major enablers, alongside trusting the information provided by healthcare professionals. Our results show that vaccine hesitancy is a complex phenomenon. Addressing both practical and perceptual barriers to MI might increase vaccination coverage among pregnant individuals. What is the context? Vaccines administered during pregnancy help protect both mother and newborn from serious infections. Yet, some expectant mothers hesitate to receive such vaccines.What is new? We systematically searched the available scientific literature to identify the factors that positively and negatively influence vaccine acceptance among expectant mothers.We analyzed data from 184 studies from countries across Europe, North America, Oceania, Asia, and South America that have national recommendations for vaccines against whooping cough.We found that vaccine refusal was mainly driven by personal perceptions of the vaccine or influences of the social environment.Convincing recommendations from healthcare professionals, fair access to prenatal care, increased trust in healthcare authorities and vaccines, and clear communication with the expectant mother were identified as promoters of vaccine acceptance.What is the impact? Addressing the identified issues might increase vaccine uptake among expectant mothers, which might have a serious impact on reducing infectious disease severity in newborns.
23 July 2026
Read appraisal →Biomedical physics & engineering express
NurtureNest: an IoT-wearable predictive analytics framework for real-time maternal risk assessment
Pregnancy-related complications are increasing globally, necessitating timely and accurate risk prediction for effective clinical intervention. This paper presents NurtureNest, an internet of things-enabled machine learning framework for automated pregnancy risk assessment. The system integrates wearable sensor data from smartwatches with user-provided clinical parameters via a mobile application, enabling continuous remote monitoring. Historical clinical data are used to train multiple machine learning models for multi-class classification of pregnancy risk into low-, medium-, and high-risk categories. Ensemble learning techniques are independently trained and evaluated alongside conventional machine learning classifiers to assess their effectiveness in pregnancy risk prediction. Experimental results show that LightGBM achieves the highest performance with 92.86% test accuracy and 95.04% cross-validation accuracy. Model performance is validated using ROC analysis and feature importance evaluation. The proposed framework enables early risk detection and supports timely clinical decision-making, improving maternal healthcare outcomes.
17 July 2026
Read appraisal →Biology of reproduction
Noninvasive pre-transfer identification of women with recurrent implantation failure using a plasma microRNA-based machine learning model
Recurrent implantation failure (RIF) refers to patients who have undergone at least three implantation failures with several high-quality embryos. Identifying patients with RIF in advance is crucial for effective clinical managements. However, uterine biopsy, the primary research approach, is not only invasive but also poses a risk to the integrity of the endometrial microenvironment. Here, we provided a novel, safe, and immediate methodology for RIF populations identification through plasma microRNA (miRNA) profiles. Peripheral blood samples of 163 women were collected and sequenced to quantify the relative expression levels of plasma miRNAs. Through a comparative analysis of the temporal expression between patients with RIF and those with successful embryo implantation during the peri-implantation period, we determined that the RIF-associated miRNA signature was established at the early stage of the window of implantation. By global screening, we identified 217 miRNAs that were differentially expressed between groups on the ovulation day (D0), using a threshold of |fold change| ≥ 1.5. Through refining selection criteria, 10 eligible miRNAs were ultimately selected and further validated through real-time quantitative polymerase chain reaction. These miRNAs were employed to construct a logistic regression-based RIF model. The model demonstrated robust performance in the validation and test cohorts, with area under the curve of 0.947 and 0.912, respectively. We also demonstrated that miRNAs maintain relative stability within a specific phase, making them suitable as clinical biomarkers. This study provides a noninvasive methodology for identifying women with RIF and suggests a potential role in predicting RIF risk before embryo transfer.
16 July 2026
Read appraisal →Medicine
Risk factors for episiotomy during vaginal birth: A systematic review and meta-analysis
BACKGROUND: Despite the numerous harms associated with episiotomy during vaginal birth, the risk factors for this procedure remain a topic of controversy. This study aimed to identify the potential risk factors for episiotomy during vaginal birth. METHODS: A systematic search was conducted across 7 databases, including PubMed/MedLine, Embase, Cochrane, Web of Science, Chinese Knowledge Infrastructure (CNKI), and Wanfang, up to January 2025. Statistical analyses, including heterogeneity tests, sensitivity analysis, and publication bias assessment, were conducted using Stata 18.0 and Review Manager 5.4. RESULTS: A total of 16 articles were included in this meta-analysis, comprising a sample size of 17,502 individuals. Newborn weight (odds ratio [OR] = 2.393; 95% confidence interval [CI] = 1.627-3.520; P < .001) and oxytocin use (OR = 2.341; 95% CI = 1.652-3.318; P < .001) were identified as significant risk factors for episiotomy. In contrast, maternal age (OR = 0.978; 95% CI = 0.922-1.038; P = .466), the type of childbirth attendant (OR = 0.920; 95% CI = 0.569-1.488; P = .733), and the duration of the second stage of labor (OR = 1.299; 95% CI = 0.781-2.162; P = .314) were not statistically significant risk factors for episiotomy. CONCLUSION: High newborn weight and oxytocin use are associated with higher rates of episiotomy. However, other potential risk factors are still controversial due to a lack of sufficient evidence, highlighting the need for more rigorous studies to strengthen the evidence base.
13 July 2026
Read appraisal →Lancet (London, England)
Diagnosis and treatment of postpartum haemorrhage: a race against time.
Postpartum haemorrhage (PPH) is common, affecting an estimated 13% of women having vaginal birth and 31% of women having caesarean birth. Successful management of PPH requires early and accurate diagnosis and effective treatment. A systematic review found that subjective visual estimation of blood loss misses 52% of PPH diagnoses at vaginal birth (pooled sensitivity 48%, 95% CI 44-53), and probably more at caesarean birth. The WHO-International Federation of Gynecology and Obstetrics-International Confederation of Midwives consolidated guidelines on PPH therefore recommend objective quantification of blood loss with products such as a calibrated blood collection drape. When supported by a robust implementation strategy and a first-response treatment bundle, objective measurement of blood loss and monitoring of vital signs has been shown to diagnose PPH accurately and early, and improve clinical outcomes. Refractory PPH can progress to life-threatening PPH, which should be managed by a multidisciplinary team providing aggressive resuscitation and targeted treatment. Saving the life of a woman with excessive postpartum bleeding is a race against time. The six delays to avoid are: (1) in the diagnosis (by use of objective cumulative blood loss measurement and early trigger criteria), (2) in the first-response treatment (by authorising midwives to administer all components of a standardised bundle of interventions), (3) in the escalation (by use of explicit escalation criteria and red flags), (4) in the use of temporising measures (eg, non-pneumatic anti-shock garment), (5) in the identification and targeted management of any specific causes of bleeding, and (6) in the provision of blood and blood products. Quick actions to avoid these delays can mean the difference between life and death for a woman with PPH.
4 July 2026
Read appraisal →International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Integrated artificial intelligence and omics for prediction and monitoring of pre-eclampsia
Pre-eclampsia is a difficult pregnancy condition that causes high blood pressure and can lead to health complications in both mother and newborn, resulting in a higher fatality rate. It presents with a wide range of symptoms and lacks specific indicators, as the contemporary diagnostic techniques, including proteinuria testing and blood pressure measurements, are not reliable. The current evolution in artificial intelligence (AI) technology tends to show a promising transformation of pre-eclampsia management. AI algorithms are applied to process larger sets of clinical, biochemical, and image data that facilitate timely medical interventions by bringing up the early-onset and severity of pre-eclampsia. By analyzing the red cell distribution width (blood test indicators for pre-eclampsia), it is recognized as a cost-effective way of detecting inflammation. The application of AI technology on non-invasive diagnostic (wearable) devices enables continuous monitoring with imaging techniques for the placenta and retina via cloud-based systems. These developments are not only applied for early detection of pre-eclampsia, but also assist decision making capabilities in both high- and low-resource environments. This article explains how the growing use of AI is changing the way that pre-eclampsia is understood and managed, with the aim of improving accuracy and offering more personalized care for pregnant women.
1 July 2026
Read appraisal →European journal of nutrition
Nutrition interventions in women with polycystic ovary syndrome: a systematic review.
PURPOSE: This systematic review aimed to synthesize current evidence on the effects of various dietary interventions on anthropometric, metabolic, hormonal, inflammatory, and oxidative stress parameters in women with polycystic ovary syndrome (PCOS). METHODS: The review followed the PRISMA guidelines and was prospectively registered in PROSPERO (CRD42025641781). Searches were conducted in PubMed, Cochrane Library, EBSCO, Science Direct, Web of Science, National Thesis Center, Google Scholar, and DergiPark Academic for studies published between February 2015 and February 2025. Experimental and observational studies were included if they evaluated the independent effect of dietary interventions in adult women with PCOS. Methodological quality was assessed using the Joanna Briggs Institute (JBI) critical appraisal tools. RESULTS: A total of 38 studies were included, covering interventions such as calorie-restricted diets, low-glycemic index/load diets, ketogenic diets, intermittent fasting, dietary approaches to stop hypertension, Mediterranean-style, and other diets. Most dietary interventions demonstrated beneficial effects on body weight, body mass index, and waist circumference, as well as improvements in insulin sensitivity, reproductive hormone regulation, and menstrual regularity. However, findings related to lipid metabolism, inflammatory markers, and oxidative stress outcomes were inconsistent. CONCLUSION: Current evidence indicates that dietary interventions are crucial in improving the management of metabolic, anthropometric, hormonal, and clinical outcomes in women with PCOS. Nevertheless, the heterogeneity of dietary approaches, study designs, and outcome measures highlights the need for long-term randomized controlled trials to establish more conclusive recommendations.
30 June 2026
Read appraisal →Biomedical physics & engineering express
Transformer imputation in CTG: a length-dependent evaluation of reconstruction methods
Objective.Computer and artificial intelligence (AI) analyses are being increasingly used in intrapartum cardiotocography (CTG). However, fetal heart rate (FHR) signal loss, which frequently occurs in clinical practice, hinders visual interpretation and reduces accuracy. Although the impact is well recognized, there is no consensus on the maximum continuous gap length that can be reliably reconstructed under clinical conditions. Therefore, we aim to identify suitable imputation methods and clarify the clinical limits of valid missing-segment lengths.Methods.Using an open FHR dataset (CTU-UHB), we extracted continuous segments and artificially introduced Removed data of varying lengths. Using performance metrics such as difference and similarity, we compared the performance among a Transformer-based model and linear and spline interpolation. Additionally, we quantified the similarity between the Pre-impute and removed data to assess task difficulty.Results.We analyzed 2727 segments from 552 cases across multiple gap lengths. In terms of numerical accuracy root mean square error (RMSE), spline consistently performed significantly worse than others. The Transformer generally maintained a better mean accuracy than linear interpolation, although significant differences were observed only under specific conditions. Conversely, for waveform preservation (correlation), the Transformer consistently outperformed linear interpolation. Notably, in highly complex imputation tasks, the Transformer proved most robust, yielding the lowest RMSE and highest correlation. However, performance systematically degraded for all methods as gap lengths increased.Conclusion.The Transformer provides an effective baseline for FHR imputation under clinical conditions, achieving a favorable balance between waveform and numerical accuracy. By clarifying the clinical limits of valid missing-segment lengths-specifically the decline in reliability beyond 30 s-this study provides guidance for standardizing preprocessing in future CTG AI research and clinical implementation.Significance.For imputing intrapartum FHR data, the Transformer generally improves waveform reproducibility over linear interpolation for short-to-moderate gaps. Defining the reliability limit provides a crucial baseline for future CTG AI.
29 June 2026
Read appraisal →African journal of reproductive health
A systematic review of unintended pregnancy among adolescents living with HIV in Africa
Adolescent pregnancy remains a significant public health concern across Africa, with Eastern and Southern regions experiencing the highest burden. Among adolescents living with HIV(ALHIV), the challenge is intensified by socio-economic, cultural, and healthcare factors that increase vulnerability to unintended pregnancy. This systematic review examined the prevalence of unplanned pregnancy and associated factors among adolescents living with HIV in Africa. Following PRISMA guidelines and registered in PROSPERO (CRD42024564479), a search of Medline, EMBASE, and CINAHL identified relevant studies published between 2011 and 2023. Of the 550 retrieved articles, only three met the inclusion criteria. Reported prevalence rates varied widely, ranging from 18.8% in South Africa to 60.0% and 73.9% in Kenya, indicating a substantial and uneven burden across settings. Factors associated with unintended pregnancy included involvement with boyfriends or acquaintances rather than spouses, reflecting limited agency and structural vulnerabilities. Documented adverse outcomes included miscarriage, stillbirth, and abortion, although one study did not specify outcomes. Overall, the review highlights persistently high rates of unplanned pregnancy among adolescents living with HIV and underscores the need to integrate sexual and reproductive health services into HIV care, address stigma, and strengthen context-specific interventions. Les grossesses adolescentes demeurent un problème majeur de santé publique en Afrique, les régions de l'Est et du Sud étant les plus touchées. Chez les adolescentes vivant avec le VIH (AVVIH), ce défi est exacerbé par des facteurs socio-économiques, culturels et liés aux soins de santé qui accroissent leur vulnérabilité aux grossesses non désirées. Cette revue systématique a examiné la prévalence des grossesses non planifiées et les facteurs associés chez les adolescentes vivant avec le VIH en Afrique. Conformément aux directives PRISMA et enregistrée dans PROSPERO (CRD42024564479), une recherche dans Medline, EMBASE et CINAHL a permis d'identifier les études pertinentes publiées entre 2011 et 2023. Sur les 550 articles recensés, seuls trois répondaient aux critères d'inclusion. Les taux de prévalence rapportés variaient considérablement, allant de 18,8 % en Afrique du Sud à 60,0 % et 73,9 % au Kenya, ce qui témoigne d'une prévalence importante et inégale selon les contextes. Parmi les facteurs associés aux grossesses non désirées figurait le fait d'avoir des relations avec des petits amis ou des connaissances plutôt qu'avec des conjoints, reflétant un manque d'autonomie et des vulnérabilités structurelles. Les issues défavorables documentées incluaient les fausses couches, les mortinaissances et les avortements, bien qu'une étude n'ait pas précisé ces issues. Globalement, cette analyse met en évidence des taux toujours élevés de grossesses non désirées chez les adolescentes vivant avec le VIH et souligne la nécessité d'intégrer les services de santé sexuelle et reproductive aux soins du VIH, de lutter contre la stigmatisation et de renforcer les interventions adaptées au contexte.
28 June 2026
Read appraisal →Placenta
Deep learning-based early prediction of gestational diabetes mellitus through first-trimester placental texture analysis
INTRODUCTION: This study aimed to develop a multi-parameter fusion model for early GDM risk prediction and validate its performance through external multicenter testing. METHODS: A total of 628 pregnant women at 11+0-13+6 weeks were enrolled from two medical centers. The Center I cohort was divided into training (n = 356) and testing sets (n = 153). Radiomic features (1,289) and deep learning features (2,048) were extracted from placental ultrasound images. Feature-level fusion resulted in 3337 features, which were selected using Spearman correlation, mRMR, and LASSO. Five models were built: Rad Model, DTL Model, DLR Model, Clinic Model, and Combined Model. Performance was assessed using ROC analysis, DCA, and calibration curves. RESULTS: The Combined Model achieved the best overall performance, with an area under the ROC curve (AUC) of 0.879 in the internal validation, significantly outperforming any single-modality model (P < 0.05). DCA demonstrated that the fusion-based model provided higher net clinical benefit across a wide range of threshold probabilities compared with both "treat-all" and "treat-none" strategies. The calibration curve showed excellent agreement between predicted and observed probabilities (Hosmer-Lemeshow test, P > 0.05). DISCUSSION: The multimodal fusion model enhanced early GDM prediction by detecting subtle placental changes in first-trimester, enabling timely intervention and personalized decision-making.
27 June 2026
Read appraisal →BMJ open
Effectiveness of peer support interventions to improve mental health outcomes after miscarriage: a systematic review and call for high-quality evidence.
OBJECTIVES: Peer support is being integrated into the new maternal mental health services in England to further the development of the recovery approach in relation to loss. Psychological support after miscarriage (pregnancy loss prior to viability) is often overlooked, despite significant psychological morbidity. This systematic review explored the effectiveness of peer support interventions to improve mental health outcomes after miscarriage. DESIGN: Systematic review DATA SOURCES: A comprehensive systematic search across nine databases (MEDLINE, CINAHL, APA PsycINFO, Web of Science (all databases), EMBASE, CENTRAL, LENS.org, British Nursing Index and Health Management Information Consortium) was conducted in June 2025. Grey literature was identified through website searching, contact with topic experts and a national call for evidence. ELIGIBILITY CRITERIA: Study designs with a quantitative evaluative component or mixed-methods studies reporting effectiveness were eligible if they involved women and/or partners who had experienced miscarriage and been offered a peer support intervention. Any peer support versus control (no treatment, wait list and usual care) or peer support versus another psychosocial intervention was eligible for inclusion. Studies that report any of the following broad groups of outcomes (whether validated measures or by self-report) were eligible for inclusion: (a) personal recovery, (b) mental health recovery, (c) health service use and (d) social outcomes. DATA EXTRACTION AND SYNTHESIS: Two independent reviewers used standardised methods to search and screen for eligible studies. RESULTS: Of the 4342 titles screened, 100 potentially relevant full-text papers were retrieved and screened resulting in seven randomised controlled trials and two controlled trials identified across 10 papers. Of these, seven did not evaluate a peer-led intervention, one reported only on women who had experienced pregnancy loss later than 24 weeks gestation, and one reported a peer support intervention for those who experienced pregnancy loss at any age of gestation but did not disaggregate data for those who experienced miscarriage. Thus, no studies were eligible for inclusion. This indicates a significant gap in the current literature. The inconsistencies and limitations in existing research approaches are explored in detail. CONCLUSIONS: This systematic review has identified an evidence gap as there is currently no robust evidence for the effectiveness of peer support interventions after miscarriage. Given the drive for the inclusion of peer support in new maternal mental health services, there is therefore a need for targeted intervention research to provide reliable evidence to determine effective peer support interventions for this population. PROSPERO REGISTRATION NUMBER: CRD42024518248.
25 June 2026
Read appraisal →Medical science monitor : international medical journal of experimental and clinical research
Development and Validation of Machine-Learning-Based Prediction Models for Thyroid Diseases During Pregnancy
BACKGROUND International guidelines recommend early screening based on targeted risk factors to identify thyroid disease during pregnancy. The complexity of these risk factors makes accurate prediction challenging. This study aimed to develop and compare multiple machine-learning-based predictive models for thyroid disease during pregnancy. MATERIAL AND METHODS This retrospective study analyzed the clinical characteristics of 5461 women who gave birth at a single center. The dataset was divided into training and test sets. In the training set, feature variables associated with thyroid disease during pregnancy were selected using the Boruta algorithm. Eight models were developed: logistic regression, Bayesian approach, k-nearest neighbors, support vector machine, neural network, classification and regression tree, extreme gradient boosting, and random forest (RF). Model performance was evaluated using the receiver operating characteristic (ROC) curve, precision-recall curve (PRC), calibration curve, and decision curve analysis. RESULTS Nine feature variables were identified: age, height, pre-pregnancy weight, gravidity, parity, primiparity or multiparity, hypertensive disorders of pregnancy, scarred uterus, and autoimmune disease. The RF model demonstrated the best performance, with accuracy of 0.98387819 and 0.99597990, Matthews correlation coefficient of 0.96794139 and 0.97781292, log loss of 0.12670703 and 0.09442025, Brier score of 0.02495798 and 0.01921069, area under the ROC curve of 0.99877170 and 0.99991140, and area under the PRC of 0.99864486 and 0.99922572 in the training and test sets, respectively. CONCLUSIONS The RF model demonstrates excellent discriminative performance, accuracy, consistency, and generalizability in predicting thyroid disease during pregnancy.
23 June 2026
Read appraisal →Archives of gynecology and obstetrics
Comparing clinical decision-making between colposcopists and large language models in cervical dysplasia management: a pilot prospective multicenter study
PURPOSE: This prospective multicenter study aimed to compare the decision-making abilities of board-certified colposcopists and two commercially available large language models (LLM), ChatGPT-4o and ChatGPT-5, in cervical dysplasia management. METHODS: Twenty-three anonymized real-life patient cases with multiple-choice (MC) questions regarding treatment decisions were used to assess answer quality. Ten board-certified colposcopists and the two LLMs addressed the MC questions. The gold standard was defined by two guideline authors. LLMs were prompted to justify their responses. Concordance rates were calculated and compared across all questions and histopathological subgroups, including cervical intraepithelial neoplasia (CIN), unspecific histopathological results, and cervical cancer cases. RESULTS: Clinicians and LLMs achieved similar overall concordance rates compared to the gold standard (69.6% for clinicians, 69.6% for ChatGPT-4o, and 65.2% for ChatGPT-5). ChatGPT-5 outperformed clinicians in precancerous lesions (81.8% vs. 66.4%), while clinicians excelled in complex cases with unspecific histopathology (86% vs. 60%). Clinicians showed a tendency to overtreat low-grade lesions (CIN I), opting for more intensive surveillance. ChatGPT-4o performed better than ChatGPT-5 in cervical cancer cases, though both models struggled with these scenarios. CONCLUSION: This study highlights the potential of LLMs as decision support tools in cervical dysplasia management, particularly for straightforward cases like precancerous lesions. However, clinicians remain superior in handling complex or ambiguous cases. The tendency of clinicians to overtreat low-grade lesions may offer the potential to test the implementation of a decision support tool for those cases. While LLMs show promise, exploring open-ended clinical scenarios and integrating retrieval-augmented generation could enhance their practical application.
19 June 2026
Read appraisal →Environmental research
Air pollution and adverse birth outcomes: A systematic review of fine critical windows
Epidemiological studies have reported associations between prenatal exposure to outdoor air pollution and adverse pregnancy outcomes. However, most analyses assessed exposure over the entire pregnancy or by trimester, potentially missing specific critical windows of vulnerability that recent statistical methods can identify. The objective of this study was to summarise studies examining critical windows of exposure to outdoor air pollution in relation to adverse pregnancy outcomes. This systematic review (PROSPERO-CRD42024523345) followed PRISMA recommendations using PubMed, Embase and CENTRAL databases. The search was performed on April 2024 and udpated on February 2025. Eligible studies analysed critical windows of association between air pollutants (PM2.5, PM10, NO2, O3) and the following outcomes: prematurity, low birth weight, intrahepatic cholestasis of pregnancy, gestational diabetes, pre-eclampsia, eclampsia, gestational hypertension and stillbirth. Two independent reviewers screened titles, abstracts and full texts. Results were synthesised narratively. Out of 3631 articles, 20 studies were included. All were conducted in China or the United States and relied almost exclusively on distributed lag models (DLM or DLNM). Heterogeneity was observed across pathologies and between studies addressing the same outcome. The most consistent finding concerned preterm birth, for which the end of the second trimester (weeks 17-28) was often identified as a critical window. No studies addressed intrahepatic cholestasis of pregnancy or stillbirth. Conclusions. The variability in results reflects distinct pathophysiological mechanisms, differences in exposure levels, or individual characteristics. Precisely identifying critical windows of environmental exposure during pregnancy appears essential to improve perinatal environmental prevention and guide public health action.
15 June 2026
Read appraisal →Journal of hazardous materials
Prenatal 6:2 Cl-PFESA exposure and birth weight: A systematic review and meta-analysis
Most existing systematic reviews and meta-analyses on PFAS have focused on legacy compounds, yet with less attention on PFAS alternatives and mixtures. Chlorinated polyfluorinated ether sulfonic acids (Cl-PFESAs) have been introduced as PFOS alternatives. Among these, 6:2 Cl-PFESA has accumulated persistent environmental residues and has recently emerged as a significant health concern. We aim to evaluate the association between prenatal 6:2 Cl-PFESA exposure and birth weight using a meta-analysis. A systematic review identified 12 studies reporting birth weight in relation to 6:2 Cl-PFESA biomarker measures, including maternal serum and umbilical cord samples. Risk of bias and study sensitivity were assessed, and overall effects were estimated by random-effects model. Stratified analyses were conducted by study confidence, sample size, and exposure level. The overall pooled estimate showed no statistically significant association between 6:2 Cl-PFESA exposure and birth weight. However, subgroup analyses revealed a consistent reduction in birth weight per ln-unit increase in 6:2 Cl-PFESA in studies with large sample sizes (β = -20.05 g; 95% CI: -33.13, -6.97), high methodological confidence (β = -16.74 g; 95% CI: -26.42, -7.06), or higher exposure levels (β = -16.15 g; 95% CI: -25.43, -6.87), all showing low between-study heterogeneity. Sensitivity analysis excluding the study contributing most to heterogeneity indicated a 15.57 g decrease in birth weight per ln ng/mL increase in 6:2 Cl-PFESA (95% CI: -24.74, -6.40). Although current evidence suggests that prenatal 6:2 Cl-PFESA exposure may adversely affect fetal growth, well-designed prospective studies with standardized exposure assessments are needed to confirm this potential risk.
15 June 2026
Read appraisal →JMIR mHealth and uHealth
WeChat-Delivered Mobile Medical Nutrition Therapy Intervention in Gestational Diabetes Mellitus: Randomized Controlled Trial
BACKGROUND: Medical nutrition therapy (MNT) serves as the foundational intervention in the clinical management of gestational diabetes mellitus (GDM) management. However, inadequate supportive care often hinders patients' ability to sustain dietary modifications and self-management behaviors, particularly for complex regimens. Flexible online interventions are thus gaining interest as adjuncts to clinical care, with the potential to improve the outcomes of GDM self-management. OBJECTIVE: This study sought to evaluate the benefits of WeChat-delivered medical nutrition therapy (WeMNT), a WeChat-delivered MNT intervention, for patients with GDM. METHODS: A parallel-group, single-blind randomized controlled trial (with outcome assessor blinding) was implemented at a university hospital's obstetric clinic. Eligible participants were those with a 24- to 28-week singleton pregnancy, a GDM diagnosis confirmed by the 75 g oral glucose tolerance test, no requirement for insulin therapy, and the ability to use a smartphone and WeChat, as well as to communicate in Chinese. Participants were randomized 1:1 to the intervention (n=47, 50%) or control group (n=47, 50%) using a random number table. The WeMNT intervention was designed per the behavior change wheel framework: (1) analyze capability-, opportunity-, and motivation-based barriers related to MNT adherence; (2) formulate targeted intervention functions; and (3) select evidence-based behavior change techniques. Three WeChat mini-programs served as the core delivery platform to implement the multifaceted intervention functions. The primary outcomes measured in this study included fasting blood glucose, 2-hour postprandial glucose (2hPG), hemoglobin A1c (HbA1c), and gestational weight gain (GWG). The secondary outcomes assessed included obstetric complications and neonatal parameters. Intention-to-treat analysis using adjusted generalized linear mixed models was conducted to evaluate the effects of the intervention. RESULTS: From March 2023 to October 2023, a total of 94 participants were enrolled in this study. Among the participants, 88 (93.62%) individuals (mean age 32.18, SD 5.04 years) successfully completed the study, 44 (46.81%) in the intervention group and 44 (46.81%) in the control group. Approximately 68.18% (30/44) of the participants in the intervention group demonstrated sustained adherence, as expected, adhered to the diet plan ≥60% of the days. Compared with the control group, the intervention group showed a significantly greater decrease in GWG over time (group×time interaction: β=-1.96, 95% CI -3.58 to -0.34; P=.02), with no significant effects on fasting blood glucose. Conversely, significant decreases in 2hPG (β=-0.12, 95% CI -0.19 to -0.04; P<.001) and HbA1c (β=-0.49, 95% CI -0.74 to -0.23; P<.001) were noted in the intervention group. No unexpected maternal adverse events occurred, and no significant effects on other health outcomes were detected. CONCLUSIONS: As a WeChat-delivered, behavior change wheel-informed intervention, WeMNT successfully reduced 2hPG, HbA1c, and GWG in GDM management. Its integrated self-management model yields robust evidence, validating this patient-centered tool as a viable option for clinical adoption.
14 June 2026
Read appraisal →Placenta
Recent advances in multimodal approaches for investigating placental development and related diseases
The placenta is a vital organ that supports fetal growth and pregnancy maintenance. Its dysfunction is associated with severe complications, including preeclampsia, fetal growth restriction, and placenta accreta spectrum disorders. Traditional approaches to placental research have provided valuable insights but are limited in capturing the complexity of this dynamic organ. In recent years, multimodal approaches-integrating advanced imaging, single-cell and spatial omics, and artificial intelligence (AI)-have enabled comprehensive analyses of placental development and disease. These strategies offer improved diagnostic accuracy, deeper molecular understanding, and real-time assessment of placental function. This review summarizes recent advances in multimodal placental research, highlighting key technologies such as ultrasound and MRI, single-cell transcriptomics, spatial profiling, and AI-based prediction models. Particular emphasis is placed on contributions from Chinese research teams, who have developed novel platforms, atlases, and clinically relevant tools. We also discuss ongoing challenges, including data standardization, interpretability of AI models, and ethical considerations. Looking ahead, the integration of multimodal data with AI and wearable technologies holds promise for precision obstetrics and individualized pregnancy care. Together, these innovations are advancing both scientific understanding and clinical management of placenta-related disorders.
12 June 2026
Read appraisal →Journal of medical Internet research
Text Messaging Support for Patients Diagnosed With Impaired Glucose Tolerance During Pregnancy: Nonrandomized Pre-Post Implementation Study Assessing Impact on Postpartum Transitions of Care
BACKGROUND: Patients with impaired glucose tolerance (IGT) identified during pregnancy who do not develop gestational diabetes mellitus (GDM) often do not receive additional interventions for their long-term metabolic risks. OBJECTIVE: This nonrandomized pre-post implementation study reports the design process and initial program evaluation for Better Follow-up of Impaired Glucose Tolerance (BRIDGE), a 12-week text-based postpartum support program promoting hemoglobin A1c (HbA1c) completion and primary care provider (PCP) visit scheduling for patients diagnosed with IGT during pregnancy, assessing improvement in desired postpartum transition milestones. The 19-month program was divided into 2 arms lasting 9.5 months each, BRIDGE- (SMS text messaging support alone; October 2021-July 2022) and BRIDGE+ (SMS text messaging and IGT-focused postpartum visit; July 2022-April 2023). We aimed to assess whether BRIDGE improved desired postpartum transition milestones. METHODS: Patients were eligible for BRIDGE if they received prenatal care at the study site (a northeastern US academic tertiary care center), were diagnosed with IGT during pregnancy, never developed GDM, and could receive English text messages. We performed a program evaluation using a pre/postimplementation design, comparing outcomes for the BRIDGE population to a 19-month historical population. Primary outcomes were (1) completion of HbA1c testing by 1 year postpartum and (2) PCP visit scheduling by 12 weeks postpartum. A comparative analysis between BRIDGE- and BRIDGE+ was performed. Multivariable logistic regressions controlled for the history of IGT after stepwise backward elimination. RESULTS: In the program evaluation, 503 individuals were included (n=342 in historical population, n=82 in BRIDGE- population, and n=79 in BRIDGE+ population), with similar demographic and clinical characteristics across populations. A total of 212 individuals were screened for eligibility in BRIDGE, and 161 individuals participated in the program. BRIDGE participants had increased odds of HbA1c completion by 1 year postpartum (39.8% vs 12.5%; adjusted odds ratio [aOR] 4.28, 95% CI 2.71-6.78) and PCP visit scheduling (31.0% vs 12.0%; aOR 9.58, 95% CI 4.39-20.9) compared to the historical population. BRIDGE+ patients were more likely to complete HbA1c testing by 12 weeks postpartum than BRIDGE- participants. Most patients attended scheduled PCP visits, but rates of IGT counseling at PCP visits were low. CONCLUSIONS: Individuals with IGT rarely receive targeted interventions during pregnancy or delivery hospitalization. This innovative study demonstrates that individuals with IGT have high rates of uptake for postpartum SMS text messaging support, which tripled completion rates of HbA1c screening within 1 year postpartum and doubled the scheduling rate for PCP visits by 12 weeks postpartum. While attendance at scheduled PCP visits was very high, <60% of PCP visits included IGT counseling, highlighting key improvement areas in the quality of postpartum transitions to primary care. While a randomized trial is needed to ascertain definitive impact, SMS text messaging support may be an effective tool to improve postpartum transitions of care for this underserved population.
12 June 2026
Read appraisal →European journal of medicinal chemistry
Machine learning-based prediction of drug lactation risk: Bridging molecular features and breastfeeding safety
BACKGROUND: Breastfeeding medication safety assessment presents critical challenges due to limited clinical evidence and ethical constraints on lactation studies. While existing computational models focus on predicting pharmacokinetic surrogates such as milk-to-plasma ratios, these endpoints lack direct clinical actionability for therapeutic decision-making. METHODS: We developed LRCpredictor, a computational framework for predicting drug lactation risk based on Dr. Thomas W. Hale's evidence-based Lactation Risk Categories (LRC) system. A dataset of 391 drugs (179 high-risk L4/L5, 212 low-risk L1/L2) was characterized using three complementary molecular representations. Systematic feature engineering with four selection algorithms identified optimal feature subsets. Five ensemble machine learning algorithms were evaluated through cross-validation and independent testing. Multi-level SHAP analysis and structural alert mining were employed to elucidate molecular determinants of lactation risk. RESULTS: The optimal Gradient Boosting Decision Tree (GBDT) model using 35 selected features achieved robust cross-validated performance (AUC = 0.80, MCC = 0.52) and demonstrated notably superior discrimination for extreme risk categories (L1 vs. L5: AUC = 0.85, MCC = 0.62). Analysis revealed lactation risk is governed by the complex interplay of electronic properties, structural topology, electrotopological characteristics, polarizability and drug-likeness attributes. Matched molecular pair analysis demonstrated how specific structural modifications translate into interpretable risk changes. We further identified 18 structural alerts, including five exclusive to high-risk drugs, enabling rapid toxicophore recognition during risk assessment and drug design. CONCLUSIONS: LRCpredictor provides the first interpretable framework for clinically actionable lactation risk prediction with mechanistic molecular insights. The freely accessible web platform (https://lrcpredictor.streamlit.app/) with integrated visual explanations supports evidence-based decision-making for healthcare providers and drug design optimization.
7 June 2026
Read appraisal →African journal of reproductive health
Effects of kegel training combined with acupoint application in preventing postpartum pelvic floor dysfunction: A randomized controlled trial
This study investigated the early preventive benefits of combining Kegel exercises with acupoint application at Qi Hai and Guan Yuan points for addressing postpartum pelvic floor dysfunction (PFD). A total of 110 first-time mothers were randomized into two groups: the prevention group, which received the combined intervention, and the control group, which practiced only Kegel exercises. The interventions followed a structured schedule during the postpartum period. At 42 days postpartum, the prevention group showed a notably lower rate of urinary leakage and improved outcomes in Type II pelvic floor muscle strength, ICI-Q-SF scores, and Hamilton Anxiety Scale results (all P<0.05). However, there were no significant differences between the groups in Type I muscle strength, vaginal dynamic pressure, PFDI-20 scores, or anatomical positioning of the bladder and cervix (P>0.05). The treatments were well-tolerated, with only two minor cases of redness and itching at application sites. We conclude that combining Kegel exercises with acupoint application at Qi Hai and Guan Yuan points may effectively reduce postpartum urinary incontinence, strengthen specific pelvic floor muscles, and improve emotional well-being. Cette étude a examiné les bénéfices préventifs précoces de la combinaison d'exercices de Kegel avec l'application d'acupression sur les points Qi Hai et Guan Yuan pour traiter la dysfonction du plancher pelvien (DPP) post-partum. Au total, 110 primipares ont été randomisées en deux groupes : le groupe prévention, recevant l'intervention combinée, et le groupe témoin, pratiquant uniquement les exercices de Kegel. Les interventions ont suivi un calendrier structuré pendant la période post-partum. À 42 jours post-partum, le groupe prévention a montré un taux de fuites urinaires nettement inférieur et de meilleurs résultats pour la force musculaire de type II du plancher pelvien, les scores ICI-Q-SF et les résultats à l'échelle d'anxiété de Hamilton (tous p<0,05). Cependant, aucune différence significative n'a été observée entre les groupes pour la force musculaire de type I, la pression dynamique vaginale, les scores PFDI-20 ou la position anatomique de la vessie et du col de l'utérus (p>0,05). Les traitements ont été bien tolérés, avec seulement deux cas mineurs de rougeurs et de démangeaisons aux sites d'application. En résumé, combiner les exercices de Kegel avec l'acupression sur les points Qi Hai et Guan Yuan pourrait réduire efficacement l'incontinence urinaire post-partum, renforcer des muscles spécifiques du plancher pelvien et améliorer le bien-être émotionnel.
31 May 2026
Read appraisal →BMJ open
Birth outcomes for women with pre-existing mental health problems: a systematic review and meta-analysis
OBJECTIVES: To synthesise evidence on the association between any diagnosed or self-reported mental health problems prior to pregnancy (pre-existing mental health problems) and birth outcomes including preterm birth (PTB), low birth weight (LBW), small for gestational age (SGA), neonatal unit (NNU) admission and mode of birth (instrumental birth, planned or unplanned caesarean section). METHODS: Systematic searches were conducted in MEDLINE, CINAHL, Embase and PsycINFO in December 2024 for studies examining the association between any pre-existing mental health problems and PTB, LBW, SGA, NNU admission and mode of birth. Only articles published in English were included with no restriction on year of publication. Two reviewers independently screened studies and extracted data. Study quality was assessed using the Newcastle-Ottawa Scale and Joanna Briggs Institute checklists. Random-effects meta-analyses were conducted to pool crude and adjusted ORs (aORs) and risk ratios (aRR) with 95% CIs. ORs and RRs were analysed separately. Between-study heterogeneity was quantified using the I2 statistic. RESULTS: Of 15 467 records screened, 33 studies met the inclusion criteria. Women with any pre-existing mental health problems had higher odds and risks of adverse birth outcomes, including PTB (aOR 1.41, 95% CI 1.27 to 1.56) (aRR 1.36, 95% CI 1.21 to 1.51), LBW (aOR 1.28, 95% CI 1.22 to 1.33) (aRR 1.32, 95% CI 1.04 to 1.68), SGA (aOR 1.27, 95% CI 1.07 to 1.51) (aRR 1.34, 95% CI 1.19 to 1.51) and NNU admission (aOR 1.44, 95% CI 1.19 to 1.74). Adjusted estimates were based on multivariable models that commonly controlled for maternal age, parity and socio-demographic factors. No consistent associations were observed between pre-existing mental health problems and mode of birth. CONCLUSIONS: Pre-existing mental health problems were associated with increased risks and odds of several adverse birth outcomes. These findings highlight the importance of early identification and targeted support for women with mental health problems before pregnancy to strengthen preconception and maternity care planning. PROSPERO REGISTRATION NUMBER: CRD42023485834.
31 May 2026
Read appraisal →African journal of reproductive health
Reproductive health in the digital and social age: AI, education, law, and community-based interventions.
Reproductive health has increasingly emerged as a complex, multidimensional field that extends far beyond clinical care into the domains of education, technology, law, culture, and socio-economic systems. This special issue of the African Journal of Reproductive Health brings together fifteen diverse yet interconnected papers that collectively illuminate how reproductive health outcomes are shaped by dynamic interactions across disciplines, geographies, and social structures. The contributions - spanning China, Spain, and Pakistan - underscore a unifying premise: that sustainable reproductive health improvements depend on integrative approaches that harness innovation while remaining grounded in cultural and social realities. La santé reproductive s'affirme de plus en plus comme un domaine complexe et multidimensionnel qui dépasse largement le cadre des soins cliniques pour englober l'éducation, la technologie, le droit, la culture et les systèmes socio-économiques. Ce numéro spécial de l'African Journal of Reproductive Health rassemble quinze articles divers mais interconnectés qui, ensemble, mettent en lumière la manière dont les résultats en matière de santé reproductive sont façonnés par des interactions dynamiques entre disciplines, territoires et structures sociales. Ces contributions, provenant de Chine, d'Espagne et du Pakistan, soulignent un principe unificateur : l'amélioration durable de la santé reproductive repose sur des approches intégratives qui exploitent l'innovation tout en restant ancrées dans les réalités culturelles et sociales.
30 May 2026
Read appraisal →Journal of medical Internet research
How Machine Learning Can Help Close Evidence Gaps for Drug Safety in Pregnant Women
Women, especially pregnant women, have historically been excluded from clinical research. In this News and Perspectives article, JMIR Correspondent Michelle Falci reports on how advances in data analytics may help bridge evidence gaps.
29 May 2026
Read appraisal →Journal of medical Internet research
Adaptive Fast-Slow Large Language Model Framework for Multidimensional Classification of Prenatal Ultrasound Reports: Comparative Study
BACKGROUND: Phenotype-driven prenatal diagnosis relies on the precise correlation between ultrasound findings and genetic outcomes; however, this process is hindered by the unstructured nature of clinical ultrasound reports. While large language models (LLMs) hold the potential to address this challenge, their specific application in this domain remains systematically underexplored. OBJECTIVE: To establish an effective LLM implementation framework for the clinical multidimensional classification of prenatal ultrasound reports, we evaluated the open-source DeepSeek-V3.2 family on real-world anomalous reports-covering both factual and subjective categories-while integrating retrieval-augmented generation (RAG) and chain-of-thought (CoT) reasoning. METHODS: From a cohort of 4256 pregnancies, we extracted 254 reports with fetal anomalies. We comprehensively evaluated both the high-speed base model (DeepSeek-V3.2-B) and the reasoning-enhanced model (DeepSeek-V3.2-R) across all 5 classification dimensions, comprising 4 factual extraction tasks-primary classification, standardized terminology, anatomical system, and abnormality count-and 1 subjective severity assessment. We further explicitly evaluated the efficacy of RAG for the subjective tasks. Finally, to validate the clinical utility of this approach, we performed a correlation analysis between the expert-validated multidimensional phenotypic profiles and definitive genetic outcomes derived from amniocentesis. RESULTS: While V3.2-B achieved high efficiency in factual tasks (accuracy and F1-score >90%), it underperformed in subjective severity grading (56.6% accuracy), exhibiting a recall of 0 for minor anomalies. Crucially, while RAG significantly improved both models' performance on internal retrieval datasets (P<.05), this benefit did not generalize to external test datasets (P>.05). In contrast, the V3.2-R model utilizing CoT reasoning achieved superior robustness (86% accuracy and F1-score=0.75) on external data without RAG; notably, introducing RAG to V3.2-R degraded performance to 81%, suggesting potential noise interference. Clinical validation against amniocentesis outcomes confirmed that accurate multidimensional phenotypic profiles significantly stratified pathogenic genetic risks. CONCLUSIONS: The rapid base models are efficient for factual classification, and RAG enhances performance on data similar to the knowledge base, whereas CoT is indispensable for subjective assessment. Within the constraints of our dataset and current retrieval implementation, CoT proved more robust than RAG for subjective assessment. However, this finding is specifically tied to our experimental setup and should not be generalized as a universal conclusion. We recommend clinically adopting this adaptive "fast-slow" LLM framework to efficiently perform the multidimensional classification of prenatal ultrasound anomalies. This privacy-preserving, locally deployable solution provides a scalable path to accelerate phenotype-genotype research and optimize invasive diagnostic decision-making.
29 May 2026
Read appraisal →JMIR research protocols
Digital Cognitive Behavioral Therapy for Insomnia Versus Sleep Hygiene Education for Prevention of Perinatal Depression: Protocol for a Randomized Clinical Trial
BACKGROUND: Insomnia during pregnancy is a modifiable risk factor for depression. Research in nonpregnant populations and preliminary findings in a pregnant population suggest that targeting insomnia with digital cognitive behavioral therapy for insomnia (CBT-I) may prevent depression. OBJECTIVE: This study aims to evaluate the efficacy of digital CBT-I for the prevention of depression through 12 months post partum compared to that of a credible, clinically relevant comparator intervention, sleep hygiene education (SHE). This project will also provide valuable information about how and for whom CBT-I prevents perinatal depression. METHODS: The Perinatal Research for Improving Sleep and Mental Health study is a fully remote, 2-arm parallel-group randomized controlled trial designed to test the superiority of digital CBT-I versus SHE for the prevention of perinatal depression. We aimed to randomize a target sample of at least 443 pregnant participants with insomnia disorder to digital CBT-I or SHE at a 1:1 ratio. Participants randomized to digital CBT-I received SleepioRx (Big Health, Inc), which uses sleep consolidation, stimulus control, cognitive therapy, relaxation techniques, and SHE in 6 interactive modules (5-15 min each). Participants randomized to SHE received information about sleep hygiene, the impact of sleep on performance, healthy sleep habits, lifestyle influences on sleep, and creating a sleep-friendly bedroom in 6 weekly digital handouts. Data are collected at baseline, 5 weeks after randomization, 10 weeks after randomization, 36 weeks' gestation, and 3, 6, 9, and 12 months post partum. The primary outcome is depression incidence, measured using the Structured Clinical Interview for DSM-5 (Diagnostic and Statistical Manual of Mental Disorders [Fifth Edition]) Disorders, Research Version. Other outcome measures include the Edinburgh Postnatal Depression Scale, Patient Health Questionnaire-9, Columbia Suicide Severity Rating Scale, Generalized Anxiety Disorder Scale, and a birth outcomes questionnaire. Mediator measures include the Insomnia Severity Index, Consensus Sleep Diary, Structured Clinical Interview for Sleep Disorders, Perseverative Thinking Questionnaire, Dysfunctional Beliefs about Sleep Scale, Pre-sleep Arousal Scale, and Difficulties in Emotion Regulation-Short Form. RESULTS: Data collection began in November 2022 and is projected to end in December 2026. CONCLUSIONS: If study hypotheses are supported, then this project will provide a new, scalable approach for preventing perinatal depression.
29 May 2026
Read appraisal →African journal of reproductive health
A systematic review of pregnancy outcomes and management in polycystic ovary syndrome
Polycystic Ovary Syndrome (PCOS), affects 5-20% of women of reproductive age, it is the leading cause of anovulatory infertility accounting for 70-90% of cases and resulting in lower natural conception rates and a significant contributor to adverse pregnancy outcomes. Following PRISMA 2020 guidelines, this systematic review synthesized evidence from 2014-2025, evaluating the evolving landscape of PCOS pregnancy management. It explores the relationship between PCOS and reproductive outcomes, details specific maternal and perinatal complications, and discusses the latest evidence-based interventions and emerging therapies to improve pregnancy outcomes and the long-term health of both mother and child. The findings revealed that the syndrome's pathophysiology driven by hyperandrogenism, insulin resistance, and obesity significantly increases the risks of early pregnancy loss, gestational diabetes, and pre-eclampsia. There is a paradigm shift toward individualized, multidisciplinary care. Evidence-based strategies highlight the superiority of letrozole for ovulation induction, the metabolic benefits of metformin, and the necessity of nuanced lifestyle interventions over simple weight-loss models. Furthermore, emerging research into immune-metabolic pathways, such as Interleukin-22, suggests novel therapeutic directions. The review concludes that recognizing PCOS as a high-risk obstetric condition and integrating early metabolic screening into standard care are essential to improving maternal and neonatal outcomes. Le syndrome des ovaires polykystiques (SOPK), qui touche 5 à 20 % des femmes en âge de procréer, est la principale cause d'infertilité anovulatoire (70 à 90 % des cas). Il entraîne une diminution des taux de conception naturelle et contribue significativement aux complications de la grossesse. Conformément aux recommandations PRISMA 2020, cette revue systématique a synthétisé les données probantes de 2014 à 2025, évaluant l'évolution de la prise en charge des grossesses chez les femmes atteintes de SOPK. Elle explore la relation entre le SOPK et les issues de la reproduction, détaille les complications maternelles et périnatales spécifiques et présente les interventions fondées sur des données probantes les plus récentes ainsi que les thérapies émergentes visant à améliorer les issues de grossesse et la santé à long terme de la mère et de l'enfant. Les résultats ont révélé que la physiopathologie du syndrome, caractérisée par un hyperandrogénisme, une résistance à l'insuline et une obésité, augmente significativement les risques de fausse couche précoce, de diabète gestationnel et de prééclampsie. On observe un changement de paradigme vers une prise en charge individualisée et multidisciplinaire. Les stratégies fondées sur des données probantes soulignent la supériorité du létrozole pour l'induction de l'ovulation, les bénéfices métaboliques de la metformine et la nécessité d'interventions nuancées sur le mode de vie plutôt que de simples programmes de perte de poids. De plus, les recherches émergentes sur les voies immunométaboliques, telles que l'interleukine-22, suggèrent de nouvelles pistes thérapeutiques. Cette revue conclut que la reconnaissance du SOPK comme une pathologie obstétricale à haut risque et l'intégration d'un dépistage métabolique précoce dans les soins courants sont essentielles pour améliorer les issues maternelles et néonatales.
29 May 2026
Read appraisal →PloS one
Determinants of maternal postnatal care utilization in Bangladesh: A machine learning and SHAP-based analysis of BDHS 2022 data
Postnatal care (PNC) plays a crucial role in minimizing maternal and neonatal morbidity and mortality, but the uptake of services in Bangladesh remains below the recommended level. Although logistic regression has been widely used, it may miss complex nonlinear interactions among social, economic, and healthcare factors. This study contributes to the body of knowledge by using machine learning (ML) to identify the most significant determinants of PNC and to enhance prediction accuracy. We compared logistic regression to several ML models, including Random Forest, XGBoost, CatBoost, Support Vector Machine, AdaBoost, and Gradient Boosting, using nationally representative data from the 2022 Bangladesh Demographic and Health Survey (BDHS) with ADASYN oversampling to correct class imbalance. Among all models, Random Forest achieved the highest AUC (0.9050), closely followed by XGBoost (0.9036) and CatBoost (0.9028), all of which substantially outperformed logistic regression (AUC = 0.8470). SHAP analysis of the Random Forest model indicated that delivery place, husband's occupation, rural residence, wealth index, and media exposure were the most influential predictors of PNC utilization, alongside maternal education, women's occupation, and age-related factors. The results indicate that ML is more effective than classical procedures for revealing latent patterns and making accurate predictions. Policy implications include encouraging facility-based deliveries, improving maternal education, reducing wealth disparities, and enhancing media coverage of health, particularly among rural and low-income groups. This paper not only identifies key drivers of PNC in Bangladesh but also demonstrates how ML can supplement traditional methods to reinforce maternal health policy and interventions.
28 May 2026
Read appraisal →Medical education online
AI-assisted case-based learning and flipped classroom to improve clinical decision-making: a randomized controlled trial in reproductive medicine
BACKGROUND: Efficient training of reproductive medicine clinicians is critical in the context of declining global fertility and increasing infertility. Traditional lecture‑based instruction often fails to sufficiently develop clinical decision‑making skills within limited residency rotations. Innovative strategies that integrate artificial intelligence (AI) with case‑based learning (CBL) and flipped classroom (FC) formats may enhance clinical reasoning, however rigorous evidence in reproductive medicine education remains limited. METHODS: We conducted a randomized controlled trial involving 50 obstetrics and gynecology residents at the First Hospital of Jilin University. Participants were randomly assigned to an AI‑assisted CBL+FC group or a traditional lecture control group. The AI‑assisted CBL+FC group completed pre‑class interactive case work with virtual standardized patients on the DoctorU platform and case analyses on the Superstar Learning platform, followed by interactive in‑class discussions. Primary outcomes included post‑course theoretical knowledge tests, Mini‑Clinical Evaluation Exercise (Mini‑CEX), and Objective Structured Clinical Examination (OSCE) scores. Secondary outcomes assessed learner motivation, clinical thinking, self‑directed learning, and perceived course effectiveness using a 5‑point Likert scale. RESULTS: Baseline characteristics were comparable between groups. After the intervention, the AI‑assisted CBL+FC group achieved significantly higher theoretical test scores than the control group. The AI‑assisted CBL+FC group also demonstrated superior overall clinical competence in Mini‑CEX assessments and higher OSCE total scores. Participants in the AI‑assisted CBL+FC group reported greater improvements in learning motivation, clinical reasoning, self‑directed learning, and perceived course effectiveness. CONCLUSIONS: The AI‑assisted CBL+FC instructional model significantly enhances theoretical knowledge, clinical decision‑making skills, and learner engagement among reproductive medicine residents. This blended learning model offers an efficacious and generalizable methodology for training practitioners to address the evolving clinical requirements within contemporary fertility care.
28 May 2026
Read appraisal →BMJ open
Prevalence of teenage pregnancy and associated factors in Uganda: a meta-analysis and systematic review
OBJECTIVE: Teenage pregnancy is a major public health problem with huge consequences for maternal health and pregnancy outcomes. This calls for a concerted effort from different stakeholders involved in issues of teenagers' sexual reproductive health to achieve the SDG target of 2030 on the reduction of maternal mortality. The objective of this systematic review was to estimate the prevalence of teenage pregnancy and its associated factors in Uganda. DESIGNS: We conducted a systematic review and random-effects meta-analysis according to Preferred Reporting Items for Systematic Review and Meta-analysis standards. DATA SOURCES: After prospective registration (PROSPERO CRD42023486460), a literature search was conducted in PubMed, African Journals Online and Google Scholar in December 2023. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Observational studies that reported the prevalence of teenage pregnancy among teenagers were included. DATA EXTRACTION AND SYNTHESIS: Articles were screened for relevance at the title, abstract and full-text levels by multiple reviewers. The quality of studies was independently appraised using the Joanna Briggs Institute Critical Appraisal Checklist and Newcastle-Ottawa Scale. Any discrepancies were resolved by reaching a consensus. The process of extracting data included study information, geographical categorisation, type of studies, population, sample size, results/outcomes and prevalence of teenage pregnancy. The risk of bias was determined by Egger's test. The results were pooled using random-effects models to calculate the prevalence of teenage pregnancy with a CI of 95% and I² statistic. RESULTS: Of 918 records screened, 10 studies (4143 participants) were included. The pooled prevalence of teenage pregnancy was 25.5% (95% CI 13.7% to 39.5%; I²=98.9%), with individual study estimates ranging widely from 3.0% to 56.4%, reflecting substantial heterogeneity across study settings, populations and periods of data collection. Higher estimates were observed in the Central-Eastern region (31.7%, 95% CI 19.5% to 45.1%). The overall certainty of evidence was rated as very low using the Grading of Recommendations, Assessment, Development and Evaluation framework, primarily due to very serious inconsistency across included studies (I²=98.9%). CONCLUSIONS: Pooling studies of mixed quality revealed a slightly higher prevalence of teenage pregnancy in Uganda. This review provides valuable insight for policymakers and healthcare providers in developing interventions and policies to reduce the burden of teenage pregnancy from disadvantaged backgrounds. PROSPERO REGISTRATION NUMBER: CRD42023486460.
28 May 2026
Read appraisal →The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Integrated cell-free DNA and omics genetic scores for early detection of gestational diabetes: evidence from a nationwide multicenter study
BACKGROUND: Gestational diabetes mellitus (GDM) affects 15.6% of pregnancies globally, with Vietnam exhibiting one of the highest prevalences at 21%. Current diagnostic approaches at 24-28 weeks limit early intervention opportunities. We developed a multi-modal machine learning framework integrating cell-free DNA (cfDNA) structural features and genetic information for early GDM prediction at 10-12 weeks of gestation in Vietnamese women. METHODS: We analyzed blood samples from 1,086 pregnant women (435 GDM cases, 651 controls) collected at 9-12 weeks. Two parallel analytical pathways were employed: cfDNA profiling extracting cfDNA-specific features (fragment length, end motifs, GC content, nucleosome patterns), and whole-genome imputation generating predictions for ∼19,000 omics traits. Component scores were developed using TabPFN classifier and integrated via logistic regression into a unified master score. RESULTS: Genome-wide analysis identified five omics traits with significant GDM associations: HSD11B1, NEK7, COMMD10, KLRC4, and OCEL1. Component score optimization revealed distinct patterns-cfDNA scores peaked at 200 features (AUC = 71.53), while genetics-based scores improved with up to 2,000 omics traits (AUC = 77.21). The final master score, integrating three components (gbSC2000, gbSCBH, cfSC200), achieved AUCs of 86.82-87.19 across validation cohorts with 70% sensitivity and 89% specificity. Addition-deletion analysis confirmed that both cfDNA and genetic components provided essential, non-redundant contributions. CONCLUSIONS: This multi-modal framework demonstrates superior performance compared to single-biomarker approaches, enabling risk stratification from very low (4% GDM prevalence) to very high risk (90% prevalence). At the cutoff 0.4, the model identifies 78% of future GDM cases at 10-12 weeks while maintaining an 18% false-positive rate, potentially enabling early interventions to prevent GDM development and associated complications.
27 May 2026
Read appraisal →Journal of perinatal medicine
Functional neurobehaviour of the human fetus: a comprehensive framework for prenatal assessment using 4D ultrasound and AI
OBJECTIVES: To evaluate current evidence on prenatal neurobehavioural assessment using four-dimensional ultrasound (4D-US), structured scoring systems, and emerging artificial intelligence (AI) platforms, and to develop an integrated framework for early identification of neurodevelopmental vulnerability. METHODS: A narrative review of the literature from 2000 to 2025 was conducted following PRISMA-guided organisational principles to enhance transparency. Studies were eligible if they used 3D/4D ultrasound to assess fetal neurobehaviour, including spontaneous motor activity, facial expressions, or behavioural transitions. Specific tools examined included the Kurjak Antenatal Neurodevelopmental Test (KANET), prenatal General Movements Assessment (GMA), and AI-assisted behavioural analysis systems. Methodological quality was appraised using the Newcastle-Ottawa Scale and the Joanna Briggs Institute checklist. Data extraction focused on imaging protocols, behavioural parameters, scoring systems, and associations with neonatal neurological outcomes. RESULTS: Fifty eligible studies demonstrated that fetal motor sequences, movement variability, and facial expressions exhibit hierarchical maturation consistent with developmental progression of brainstem, subcortical, and cortical neural circuits. KANET parameters showed reproducible scoring and meaningful correlation with neonatal neurodevelopment, particularly in high-risk pregnancies. Prenatal general movement patterns displayed continuity with postnatal repertoires and contributed to early neurological prediction. AI-based classifiers provided objective quantification of fetal movement and facial activity, supporting automated or semi-automated assessment workflows. CONCLUSIONS: Functional neurobehavioural assessment using 4D-US, structured scoring tools, and AI-enhanced analysis is feasible, reproducible, and clinically informative. Integrating behavioural markers with neurosonographic findings and computational modelling may strengthen early detection of neurological risk and improve long-term neurodevelopmental care pathways.
27 May 2026
Read appraisal →Zeitschrift fur Naturforschung. C, Journal of biosciences
Exploring the potency of 6-bromo-3-methylquinoline analogues as prostaglandin F2α inhibitors
Prostaglandin F2α (PGF2α) is associated with preterm labor and preterm birth. PGF2α inhibitors have thus proven to be a promising target in the development of lead compounds to prevent preterm birth. In this work, Quantitative Structural Activity Relationship (QSAR) was implemented on a dataset of 77 compounds of 6-bromo-3-methylquinoline analogues using statistical approach and random selection in the QSARINS software. The Genetic Algorithm-Multiple Linear Regression (GA-MLR) approach was used to predict the best model (R 2 = 0.8943 and Q 2 LOO = 0.8836). The inclusion of descriptors FNSA-2 and WV.mass resulted in a well-fitted and highly predictable model. Artificial neural network (ANN) analysis was also carried out to validate the model effectiveness. Twenty eight new molecules with better predicted biological activity (pIC50) were designed. The binding energy from the docking study of seven compounds have shown higher binding activity than P10 into prostaglandin F synthase protein (PDB ID: 2F38). The stability of protein-ligand complex was further validated by 100 ns molecular dynamics simulation and MM-PBSA binding free energy. DFT and ADME-toxicity analysis also confirmed their drug-likeness properties. Collectively, our findings highlight novel quinoline derivatives as promising lead candidates, warranting further validation through collaborative in vitro and in vivo studies.
27 May 2026
Read appraisal →Journal of perinatal medicine
Effect of preterm birth on neonatal, infant, child, young adult and adult mortality: a systematic review and meta-analysis
OBJECTIVES: Preterm birth is associated with a higher risk of mortality. In 2020, the global incidence of preterm births was reported at 9.9 per 100 live births. This meta-analysis was undertaken to evaluate the effect of preterm birth on mortality among various age groups. METHODS: A thorough search was done on four electronic databases: "PubMed, Scopus, Web of Science, and Embase". Adhering to PRISMA 2020 guidelines, observational analytical studies published till 4th December 2024 were included. Screening of the studies was done by two independent reviewers in two stages: title/abstract, followed by full text review of the advanced articles. It was followed by data extraction. Study quality was assessed with the Newcastle Ottawa Scale. Meta-analysis using a random-effects model was done in R Studio. PROSPERO ID: CRD42024622282. RESULTS: Database search yielded 1775 unique studies. 23 studies met the final predefined eligibility criteria. Preterm babies showed an increased risk of mortality compared to term babies with a pooled relative risk of 6.12 (95 % CI: 3.16-11.84) for neonatal mortality, 11.84 (95 % CI: 6.88-20.37) for infant mortality and 1.88 (95 % CI: 1.24-2.83) for 1-5 year. However, it was similar in adult mortality with a pooled relative risk of 1.21 (95 % CI: 0.07-20.12). CONCLUSIONS: Preterm birth is strongly associated with increased risks of childhood mortality, especially in extreme and very preterm infants, but the risk persists even for late preterms.
27 May 2026
Read appraisal →Journal of perinatal medicine
Plant-based antioxidant strategies with potential for preeclampsia prevention: clinical and mechanistic insights
BACKGROUND: Preeclampsia is a leading cause of maternal and perinatal morbidity and mortality, driven by oxidative stress, endothelial dysfunction, and systemic inflammation. Current preventive strategies, such as low-dose aspirin, offer modest benefit, highlighting the need for alternative approaches. Medicinal plants with antioxidant and anti-inflammatory properties, long used in maternal health traditions, may provide biological pathways relevant to preeclampsia prevention. SUMMARY: This review synthesizes human clinical and mechanistic evidence on four medicinal plants with documented antioxidant activity - Curcuma longa, Moringa oleifera, Orthosiphon aristatus, and Centella asiatica. These botanicals demonstrate potential mechanisms of action including redox modulation, preservation of endothelial function, and suppression of pro-inflammatory pathways, all of which are implicated in preeclampsia pathophysiology. CONTENT: A PRISMA-guided systematic search of PubMed, Scopus, Web of Science, and the Cochrane Library (2000-2025) identified human studies evaluating these plants' effects on oxidative stress and vascular health. Evidence was synthesized narratively due to heterogeneous study designs and outcomes. Most studies were small, often not pregnancy-specific, and used non-standardized botanical formulations. OUTLOOK: These medicinal plants offer biologically plausible pathways to reduce preeclampsia risk. However, pregnancy-focused randomized trials, dose optimization, pharmacokinetic profiling, and safety evaluations are essential before clinical integration into maternal care.
26 May 2026
Read appraisal →Archives of women's mental health
Moderators, mediators, and components of a standalone smartphone application for postpartum depression: secondary analysis of a randomized controlled trial
PURPOSE: The purpose of this study was to identify potential moderators, mediators, and efficacious components of a standalone app intervention on postpartum depression symptoms and functional impairment. METHODS: A total of 264 women were randomized to intervention (Motherly app) or to an active control group. We analyzed depressive symptoms assessed by the Edinburgh Postnatal Depression Scale and functional impairment by the Clinical Global Impression at post-treatment as outcomes. Various potential moderators were assessed at baseline. Potential mediation variables were the level of behavioral activation (BA) measured by the Behavioral Activation for Depression Scale - Short Form and the Response-contingent positive reinforcement (RCPR) by the Reward Probability Index, at post-treatment. Intervention component analysis was evaluated using app engagement data. RESULTS: The results indicate that intervention effects on depressive symptoms were moderated by the number of children and pediatric consultations, with stronger effects observed among mothers with fewer children and higher consultation frequency. Functional impairment was moderated by time spent with the child, with greater improvements among mothers with lower caregiving demands. Mediation analyses showed BA and RCPR mediated the effect of our intervention on depressive symptoms and functional impairment. Total and BA achievements were significantly associated with reduction in depressive symptoms. CONCLUSION: Our findings suggest that our app intervention efficacy is influenced by maternal characteristics and childcare responsibilities. BA and RCPR are key mechanisms, and higher engagement with app components produce greater symptom reduction.
24 May 2026
Read appraisal →JMIR research protocols
Protocol for Monitoring Postpartum Hypertension Outcomes via a Smartphone App (MOMitor): Ecological Momentary Assessment
BACKGROUND: Postpartum hypertension defined as elevated blood pressure after childbirth, affects approximately 20% of women after delivery. Digital health interventions that include remote monitoring therefore, present an important opportunity to facilitate regular blood pressure assessment in this high-risk population. OBJECTIVE: The primary objective is to assess within- and between-person changes in hypertension status over the first 6 weeks postpartum using a smartphone-based ecological momentary assessment protocol. The secondary objective is to characterize the trajectory of hypertension indicators across the 6-week period and to compare hypertension screening results from week one and week six within participants. METHODS: This study uses a time-series design using data from prospectively enrolled patients within a large health system. Patients eligible for recruitment were women aged 18 years or older who spoke English, owned a smartphone, had a liveborn neonate, and were willing to download an app and respond to survey questions within the app. Throughout the study period, all participants received hypertension screening items that asked whether their blood pressure was greater than 140/90 mm Hg and whether they felt dizzy or lightheaded, short of breath, or had a severe headache. A subset of participants were additionally asked to report their blood pressure readings. We estimate within- and between-participant effects using a generalized linear mixed model for a positive hypertension screen during weeks one through six. The model includes both fixed and random effects, controlling for age, race, marital status, education, insurance status, mode of delivery, total number of pregnancies, and history of diabetes mellitus. RESULTS: The study was funded July 2021 and data collection was initiated in November 2021. Data collection for this study, per protocol, was completed in June 2025, though other participants continue to be enrolled in the ongoing parent study. Data analysis is expected to be completed by Spring 2026 with publication planned for Summer 2026. CONCLUSIONS: The study findings will provide insight into trajectories of hypertension outcomes in postpartum women and the utility for smartphone app-based remote blood pressure monitoring among postpartum women whose blood pressure was regularly tracked. Findings will provide evidence to support whether widespread implementation of this digital health surveillance approach to improve outcomes in maternal health, especially in the postpartum period, is clinically warranted.
23 May 2026
Read appraisal →The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Integrated metabolic and inflammatory biomarkers for early association and prediction of adverse pregnancy outcomes: a multicenter validation study
BACKGROUND: Adverse pregnancy outcomes (APOs) affect long-term maternal and offspring health. Conventional metabolic markers, including the triglyceride-glucose (TyG) index, inadequately capture pregnancy-related immuno-inflammatory dysregulation. We propose a composite index, TyNIR, integrating metabolic and inflammatory parameters, and assess its associations with APOs and predictive performance using machine learning. METHODS: Data were collected from two tertiary centers in Fujian, China (2023-2025), including 1,741 pregnancies and an external validation cohort of 300. Early-pregnancy parameters were used to derive TyNIR. Primary outcomes were gestational diabetes mellitus (GDM), gestational hypertension (GH), preterm birth (PB), low birth weight (LBW), and premature rupture of membranes (PROM). Multivariable regression, subgroup, and interaction analyses assessed associations between TyNIR and APOs. A feature selection approach developed the PREMIER model, which was compared with TyG and other models and externally validated. RESULTS: TyNIR was positively associated with GDM, GH, and PB. After adjustment, the highest quartile showed increased risks, with odds ratios (ORs) of 3.86 (95% CI 2.33-6.39) for GDM, 3.05 (1.74-5.36) for GH, and 3.45 (1.24-9.66) for PB. No associations were observed for LBW or PROM. The PREMIER model achieved area under the curve (AUC) values of 0.710 ± 0.031, 0.736 ± 0.040, and 0.742 ± 0.073, outperforming TyG and other models. External validation confirmed consistent associations and superior predictive performance. CONCLUSIONS: TyNIR consistently predicts risks of GDM, GH, and PB. The TyNIR-based PREMIER model shows robust predictive performance with external validation. These findings support early identification of high-risk pregnancies and may guide personalized management of APOs.
22 May 2026
Read appraisal →Health policy and planning
Partial pictures: what routine health data can and cannot tell us about the quality of maternal and neonatal health services in Tanzania
Measurement of contact coverage of maternal and newborn health services may overestimate the benefits of the care that is provided, because the quality of care is not captured. It is therefore important to better understand the opportunities and challenges of capturing elements of care quality in routine health information systems (RHIS). This study explored healthcare workers' (HCWs), health sector managers' and policymakers' perspectives on the value and limits of routine health data to understand the quality of maternal and neonatal health services in Tanzania. We conducted qualitative research during two periods to capture perspectives across facility, district, regional and national levels. In Mtwara region in 2023, we conducted ethnographic observations at two hospital labour wards and 29 in-depth interviews with healthcare workers, hospital leaders, and district/regional managers. In 2025, we carried out 17 additional interviews with regional managers in Mtwara and with key national-level stakeholders. Our findings demonstrate that Tanzania's RHIS provides a valuable but partial picture of quality of care for maternal and neonatal health services. Care processes-including both provision and experience of care-are captured only to a limited extent. Using boundary object theory, we highlight how the same health information must serve diverse stakeholder needs. While there are opportunities to integrate more quality-of-care indicators, standardized RHIS cannot be expected to comprehensively capture the multifaceted nature of care quality. For quality measurement to support meaningful local health service improvement, a flexible, bottom-up approach is essential. However, the current emphasis on top-down oversight acts as a barrier for local-level data use. Relevant and feasible measurement of the quality of facility-based care requires a fundamental shift in current RHIS priorities-from systems that extract data for those 'up there' to platforms that also create value for those who provide care.
21 May 2026
Read appraisal →Revista do Instituto de Medicina Tropical de Sao Paulo
Treatment of brucellosis in pregnant women: a systematic review and analysis of current gaps and future perspectives
Human brucellosis is a globally prevalent bacterial disease with significant implications during pregnancy due to obstetric complications. Despite the importance of early diagnosis and treatment, the lack of therapeutic consensus and robust evidence underscores the need for systematic evaluation to guide clinical practice. This study systematically reviewed the literature to identify and summarize available drug therapy options for brucellosis in pregnant women, focusing on efficacy, safety, and obstetric outcomes. The review followed PRISMA and Cochrane Handbook guidelines. Searches were conducted in MEDLINE, Embase, Cochrane Library, LILACS, and gray literature for references indexed up to September 15, 2025. Eligible studies reported therapeutic interventions in pregnant women with brucellosis. Risk of bias was assessed using the JBI Critical Appraisal tool, and data on participants, interventions, and outcomes were extracted. Of 737 records screened, six studies met the inclusion criteria, comprising retrospective and prospective reports published between 1991 and 2020, totaling 403 pregnant women. Therapeutic regimens varied, with sulfamethoxazole-trimethoprim (SMX-TMP) plus rifampicin being the most frequently used combination. Adverse obstetric outcomes associated with this regimen occurred in 16% (95%CI: 8%-30%) of cases. Overall, abortion occurred in 94 (23.3%) women, 20 preterm births were reported, and 10 newborns had low birth weight. Recurrence was observed in only 3% of cases. Heterogeneity in outcomes and definitions limited comparability. In conclusion, there is no standardized treatment for brucellosis during pregnancy. Adverse obstetric outcomes remain frequent, highlighting the need for controlled studies to establish safe and effective therapeutic protocols.
20 May 2026
Read appraisal →Acta dermato-venereologica
Pregnancy in Women with Atopic Dermatitis: A Systematic Review of Concerns and Challenges
Atopic dermatitis (AD) has negative individual and societal implications. However, the potential impact of ADatopic dermatitis on reproduction has only been sporadically investigated. We aimed to provide an overview of pregnancy in ADatopic dermatitis, with a specific focus on concerns, challenges, the number of children, and adverse pregnancy and birth outcomes. A systematic literature search was performed using EMBASE and PubMed up until 19th January 2026 for original articles in relation to reproduction in female ADatopic dermatitis. Twenty-four highly heterogeneous studies were included. Concerns about ADatopic dermatitis in relation to pregnancy and family planning were reported in >50% of the patients in three3 out of four4 studies. Conflicting results were seen regarding fertility and disease severity during pregnancy. Pregnancy rates were similar or increased based on two2 studies. Eleven studies addressed adverse pregnancy and birth outcomes, of which five5 studies unanimously reported a protective or indifferent effect of ADatopic dermatitis on pre-term birth, gestational diabetes and stillbirth. Outcomes such as gestational hypertension, preeclampsia and miscarriage showed divergent results. Overall, ADatopic dermatitis causes considerable worries in relation to family planning. However, this review implies, that pregnancy rates as well as complications in pregnancy and during childbirth in women with ADatopic dermatitis overall are consistent with women without ADatopic dermatitis.
20 May 2026
Read appraisal →BMJ open
Implementation of a clinical decision support tool for postpartum depression: protocol for a prospective randomised clinical trial
INTRODUCTION: Perinatal mood and anxiety disorders affect more than one in five pregnant individuals. Despite the large percentage of individuals impacted by mood disorders, they continue to remain underdiagnosed and undertreated. Recent interventions such as risk prediction modelling offer opportunities to predict patients at risk prior to symptom onset. Leveraging technology platforms such as electronic health records allow for timely diagnosis and intervention. To date, there are no established clinical decision support (CDS) tools. We hypothesise that subjects who use a CDS aid will find them acceptable, appropriate and feasible. METHODS AND ANALYSIS: We will conduct a pilot randomised clinical trial at three Weill Cornell Medicine clinics with randomisation at the clinician level. Patients in the control arm will receive usual care, while those in the intervention arm will receive CDS. The primary implementation outcomes are the acceptability, appropriateness and feasibility. The effectiveness outcomes are mental health service utilisation, EuroQol 5 Dimensions questionnaire (EQ-5D), Edinburgh Postnatal Depression Scale and social support measured by the perceived support scale. We hypothesise that stakeholders will find the CDS acceptable, and the intervention arm will have lower mental health service needs compared with control. ETHICS AND DISSEMINATION: This study has been approved by the Weill Cornell Medicine Internal Review Board. IRB Protocol# 23-07026254. TRIAL REGISTRATION NUMBER: NCT06818734.
20 May 2026
Read appraisal →The Journal of clinical endocrinology and metabolism
Lifestyle intervention before and during fertility treatment in women with obesity or with overweight and PCOS-a RCT
CONTEXT: Lifestyle interventions are recommended for women with obesity and infertility, but trial evidence is scarce, and studies have not investigated interventions that continue during fertility treatment. OBJECTIVE: Evaluate effectiveness of a lifestyle intervention compared with usual care on fertility outcomes in women with obesity and infertility. DESIGN: The Obesity-Fertility randomized controlled trial (RCT), at an academic fertility clinic, included 127 women aged 18 to 40 years with infertility and obesity (body mass index ≥30 kg/m2, or ≥27 kg/m2 with polycystic ovary syndrome [PCOS]), excluding those unlikely to conceive naturally. The intervention group (IG) received a 6-month lifestyle intervention alone (individual follow-up with a dietician and kinesiologist, and group sessions) before adding fertility treatments. The control group (CG) received usual fertility care directly. Rate of live birth conceived within 18 months of randomization was analyzed. RESULTS: Compared to CG, the IG lost more weight (-3.21% ± 4.73% vs -0.40% ± 3.66%, P = .003) and waist circumference (-2.62 ± 4.46 cm vs -0.23 ± 3.81 cm, P = .01) at 6 months. The live-birth rate was 44.4% in the IG (n = 63) vs 35.9% in the CG (n = 64) (risk ratio [RR] = 1.24 [95% CI 0.81-1.90]). In IG vs CG, clinical pregnancy rates were 52.4% vs 37.5% (RR = 1.40 [0.94-2.07]) and natural pregnancy rates were 27.0% vs 12.5% (RR = 2.16 [1.01-4.64]). CONCLUSION: Compared with usual care, a lifestyle intervention alone for 6 months and then combined with fertility treatments did not increase the 18-month rate of pregnancies leading to a live birth, but significantly increased natural pregnancy rates, potentially reducing the need for costly assisted reproduction in this population.
19 May 2026
Read appraisal →African journal of reproductive health
Effect of a herbal galactagogic formula combined with auricular acupressure on breast milk production and hormonal profiles in women with postpartum hypogalactia: A randomized controlled study
Postpartum hypogalactia is a common condition that may impair breastfeeding and maternal-infant health. This randomized controlled study evaluated the efficacy of a herbal galactagogic decoction combined with auricular acupressure in improving lactation outcomes. A total of 104 women with postpartum hypogalactia were enrolled between July 2023 and June 2025 and randomly assigned to a control group (auricular acupressure alone, n=52) or an intervention group (auricular acupressure plus herbal decoction, n=52) for 2 weeks. Primary outcomes included breast milk production and formula supplementation, while secondary outcomes comprised serum hormone levels (estradiol, progesterone, and prolactin), symptom scores, psychological status, and clinical effectiveness. Both groups showed significant post-treatment improvements (P<0.05). Compared with the control group, the intervention group demonstrated lower estradiol and progesterone levels, higher prolactin levels, increased milk production, and reduced formula supplementation (P<0.05). Symptom scores and anxiety/depression levels were also significantly improved. The overall effective rate was higher in the intervention group (96.15% vs 80.77%, P<0.05), with comparable safety profiles. This combined therapy appears to be a safe and effective complementary approach for improving lactation in women with postpartum hypogalactia. L’hypogalactie post-partum est une affection fréquente pouvant compromettre l’allaitement et la santé maternelle et infantile. Cette étude randomisée contrôlée a évalué l’efficacité d’une décoction galactagogue à base de plantes associée à l’acupression auriculaire pour améliorer les résultats de lactation. Au total, 104 femmes atteintes d’hypogalactie post-partum ont été recrutées entre juillet 2023 et juin 2025 et réparties aléatoirement en un groupe témoin (acupression auriculaire seule, n=52) et un groupe intervention (acupression auriculaire associée à une décoction à base de plantes, n=52) pendant 2 semaines. Les critères de jugement principaux comprenaient la production de lait maternel et le volume de supplémentation en lait artificiel, tandis que les critères secondaires incluaient les niveaux hormonaux sériques (estradiol, progestérone et prolactine), les scores symptomatiques, l’état psychologique et l’efficacité clinique. Les deux groupes ont montré des améliorations significatives après le traitement (P<0,05). Comparé au groupe témoin, le groupe intervention présentait des niveaux plus faibles d’estradiol et de progestérone, des niveaux plus élevés de prolactine, une production de lait accrue et une réduction de la supplémentation (P<0,05). Les scores symptomatiques ainsi que les niveaux d’anxiété et de dépression ont également été significativement améliorés. Le taux global d’efficacité était plus élevé dans le groupe intervention (96,15 % vs 80,77 %, P<0,05), sans différence significative en termes d’effets indésirables. Cette thérapie combinée pourrait constituer une approche complémentaire sûre et efficace pour améliorer la lactation chez les femmes présentant une hypogalactie post-partum.
18 May 2026
Read appraisal →African journal of reproductive health
Domestic violence during pregnancy and its maternal and reproductive health consequences in mainland China: A systematic review and meta-analysis
Domestic violence during pregnancy represents a serious public health concern. This study conducted a systematic review of quantitative data to examine its prevalence, factors influencing it, and associated health outcomes in Mainland China. Following PRISMA 2020 guidelines, a meta-analysis of 25 studies was performed using random-effects models, alongside assessments of heterogeneity (I²) and publication bias. The analysis revealed a pooled prevalence of approximately 20%, with psychological violence identified as the most prevalent form. Key contributing factors included socio-economic disadvantage, restricted decisionmaking autonomy, and risky behaviors by partners. Exposure to domestic violence substantially heightened the likelihood of antenatal depression or anxiety, pregnancy complications, and negative birth outcomes such as low birth weight and preterm delivery. Although some heterogeneity was noted, the associations were consistently observed. These findings highlight the significant prevalence and severe health impacts of domestic violence during pregnancy, emphasizing the urgent need for comprehensive maternal healthcare approaches in China. Such strategies should integrate domestic violence screening, mental health services, and initiatives promoting socio-economic empowerment. La violence domestique pendant la grossesse constitue un problème de santé publique grave. Cette étude a réalisé une revue systématique des données quantitatives pour examiner sa prévalence, les facteurs l'influençant et les conséquences sanitaires associées en Chine continentale. Conformément aux directives PRISMA 2020, une méta-analyse de 25 études a été effectuée en utilisant des modèles à effets aléatoires, ainsi que des évaluations de l'hétérogénéité (I²) et du biais de publication. L'analyse a révélé une prévalence globale d'environ 20 %, la violence psychologique étant identifiée comme la forme la plus répandue. Les principaux facteurs contributifs comprenaient les désavantages socio-économiques, une autonomie décisionnelle restreinte et les comportements à risque des partenaires. L'exposition à la violence domestique augmentait considérablement la probabilité de dépression ou d'anxiété anténatales, de complications de la grossesse et d'issues défavorables à la naissance, telles qu'un faible poids de naissance et un accouchement prématuré. Bien qu'une certaine hétérogénéité ait été notée, les associations ont été constamment observées. Ces résultats soulignent la prévalence significative et les impacts sanitaires graves de la violence domestique pendant la grossesse, mettant en évidence le besoin urgent d'approches globales en matière de soins de santé maternelle en Chine. De telles stratégies devraient intégrer le dépistage de la violence domestique, des services de santé mentale et des initiatives favorisant l'autonomisation socio-économique.
16 May 2026
Read appraisal →Journal of global health
Impact of travel time to health facilities on perinatal outcomes: a systematic review with narrative synthesis and meta-analysis
BACKGROUND: Evidence-based global guidance on safe travel time for small or sick newborns who require transfer to health facilities after birth is lacking. A two-hour threshold is frequently cited in low- and middle-income countries (LMICs), while 30 minutes is commonly used in high-income countries (HICs). Although these thresholds are widely referenced, their empirical basis and consistency across levels of newborn care and journey types have not been systematically examined. This study synthesises the evidence linking travel time and perinatal outcomes. METHODS: We conducted a systematic review with narrative synthesis and meta-analysis to assess the impact of travel time or distance (home-to-facility or interfacility) on stillbirth, perinatal mortality, and neonatal mortality. We searched Embase, MEDLINE, and Cochrane Central Register of Controlled Trials for published studies from 2014 to 2023. Given substantial methodological heterogeneity, we used narrative synthesis as the primary analytical approach and conducted random-effects meta-analyses where studies were sufficiently comparable (≥2 with similar definitions and outcome windows), pooling effect estimates for travel time thresholds of 30 minutes, 1 hour, or 2 hours and travel distances of 5, 10, and 15 km. We assessed bias using the Newcastle-Ottawa Scale for cohort and case-control studies. RESULTS: Of 8317 screened records, 166 were eligible for full-text review, with 37 studies meeting the inclusion criteria- All but two had low or moderate risk of bias. Most studies (n = 26) came from LMICs and documented higher perinatal survival with shorter journeys. Studies from HICs demonstrated lower out-of-hospital birth, lower morbidity, and lower mortality with shorter journeys though associations were weaker. Across the narrative synthesis, shorter travel times were consistently associated with better outcomes. Exploratory pooling suggested a greater than 3-fold higher odds of survival for interfacility journeys under 30 minutes (odds ratio (OR) = 3.25; 95% confidence interval (CI) = 1.90-5.57) and over 2-fold higher odds of survival for journeys from any location to hospitals at all thresholds (OR = 2.06; 95% CI = 1.60-2.65 for 2 hours; OR = 2.20; 95% CI = 1.46-3.33 for 1 hour; OR = 1.92; 95% CI = 1.10-3.34 for 30 minutes), though prediction intervals were wide, reflecting methodological and contextual diversity. CONCLUSIONS: We found that shorter journeys were associated with better perinatal outcomes, with the highest survival rates observed for journeys under 30 minutes to the hospital. Due to substantial contextual and methodological heterogeneity, pooled estimates should be interpreted as illustrative, rather than definitive. A travel time norm of 30 minutes or one hour is preferable to the two-hour threshold currently used in LMICs. To safeguard perinatal survival rates, any travel-time standard should be balanced with corresponding quality of care standards. REGISTRATION: PROSPERO: CRD42023460423.
16 May 2026
Read appraisal →Archives of women's mental health
Multidimensional psychological and neurophysiological effects of moderate- and low-intensity exercise on pregnant women: an integrative systematic review and Bayesian framework network meta-analysis
BACKGROUND: Pregnancy-related mental health disorders are an increasingly important global public health concern. Exercise interventions have gained attention as safe, non-pharmacological strategies for improving maternal psychological and neurophysiological well-being. However, comparative evidence regarding different exercise modalities and intensities remains limited. OBJECTIVE: This study aimed to systematically evaluate and rank the effects of different prenatal exercise modalities and compare moderate- versus low-intensity exercise protocols on maternal mental health and neurophysiological outcomes during pregnancy. METHODS: A Bayesian network meta-analysis was conducted following PRISMA-NMA guidelines. PubMed, Embase, Cochrane Central, and PsycINFO were systematically searched. Thirty-six randomized controlled trials involving 4,577 pregnant participants were included. Methodological quality was assessed using the Cochrane RoB 2.0 tool. Treatment effects were ranked using the surface under the cumulative ranking curve method. RESULTS: Moderate-intensity aerobic training showed the strongest effect on reducing prenatal depression, with a SUCRA value of 0.89. Yoga-based interventions were particularly effective for anxiety reduction, with a SUCRA value of 0.76, and ranked second in the overall outcome evaluation, with a SUCRA value of 0.82. Neurophysiological findings indicated that yoga showed the greatest benefit for cortisol regulation, whereas aquatic exercise demonstrated distinctive anti-inflammatory effects. Subgroup analyses suggested that moderate-intensity exercise tended to produce greater reductions in depression, while low-intensity exercise showed comparable or superior effects on anxiety and cortisol modulation. Meta-regression further indicated that interventions conducted three times per week and lasting more than 12 weeks were associated with larger effect sizes. The certainty of evidence ranged from moderate to high across primary comparisons. CONCLUSION: This network meta-analysis provides a preliminary evidence hierarchy for prenatal exercise interventions. Moderate-intensity aerobic exercise may be most beneficial for reducing prenatal depression, while yoga appears particularly suitable for anxiety and cortisol regulation. These findings offer clinicians a reference framework for individualized prenatal exercise recommendations and support the integration of exercise into maternal mental healthcare.
16 May 2026
Read appraisal →JMIR medical informatics
Adverse Pregnancy Outcomes in Women With Immune Abnormalities: Machine Learning Model Development and Validation Using First-Trimester Sonographic Features
BACKGROUND: The maintenance and progression of pregnancy rely on immune homeostasis at the maternal-fetal interface. However, pregnancy complicated by autoimmune abnormalities can disrupt this balance and significantly increase the risk of adverse pregnancy outcomes (APOs). OBJECTIVE: This study aimed to (1) develop an interpretable predictive tool for APOs in patients with immune abnormalities and (2) interpret the models using Shapley additive explanations (SHAP) values. METHODS: This study retrospectively analyzed clinical data from 288 patients with autoimmune abnormalities at Yichang Central People's Hospital between 2019 and 2024. Feature selection was performed using both the Boruta algorithm and Least Absolute Shrinkage and Selection Operator regression to identify optimal predictive factors associated with APOs. Nine machine learning models were developed and subsequently underwent a comprehensive comparative evaluation of their predictive performance, leading to the identification of the optimal predictive model. SHAP values were generated to provide interpretable insights into model predictions. RESULTS: A total of 288 patients were included in the study, 124 (43.06%) of whom had APOs. The extreme gradient boosting algorithm was shown to be the optimal model after a comparison of 9 different models utilizing various metrics. The SHAP analysis showed that crown-rump length at 6+0 to 8+6 weeks, the number of other drugs, the number of complications during pregnancy, gestational sac volume at 6+0 to 8+6 weeks, and yolk sac diameter change at 6+0 to 8+6 weeks were the key predictive factors affecting APOs. CONCLUSIONS: The study developed an interpretable predictive tool for APOs in patients with immune abnormalities, which may assist clinicians in making early intervention decisions.
14 May 2026
Read appraisal →Archives of gynecology and obstetrics
Clinical outcomes and practical management implications in rudimentary horn pregnancies: a systematic review and pooled analysis (2010-2025)
PURPOSE: Rudimentary horn pregnancies are rare and carry significant maternal and fetal risks. This study aims to systematically review published cases of rudimentary horn pregnancies describing data about time of diagnosis, time of rupture, and live birth rate (LBR), with exploratory comparisons between communicating (CHP) and non-communicating horn pregnancies (NCHP). METHODS: A PRISMA-guided systematic search of PubMed, MEDLINE, and Cochrane (October 1, 2025) was performed with terms "unicornuate uterus pregnancy" OR "rudimentary horn pregnancy." Case reports, series, and reviews with defined clinical data were included; abstracts and unclear reports were excluded. Three independent reviewers extracted data using a standardized protocol. Descriptive statistics (means, medians, standard deviations, and ranges) and exploratory group comparisons (Fisher's exact test, Mann-Whitney U and Student's t test with p < 0.05 denoting significance) were performed. RESULTS: From 132 articles, 190 cases were included: 27 CHP (14.2%) and 163 NCHP (85.8%). Time of diagnosis was earlier in NCHP (15.9 ± 8.9 weeks) than CHP (22.1 ± 10.0 weeks, p = 0.01). Rupture occurred in 68 cases (35.8%), similarly in CHP (48.1%) and NCHP (33.7%, p = 0.19). Time of rupture was earlier in NCHP (18.7 ± 6.6 weeks) than CHP (23.0 ± 9.2 weeks, p = 0.02). Four cases attempted to continue pregnancy; all resulted in premature rupture. Reported live births were infrequent (11.6%) and more common in published CHP (25.9%) vs. NCHP cases (9.2%; p = 0.02). CONCLUSIONS: This descriptive synthesis indicates uterine horn communication may be associated with later diagnosis/rupture and reported live births were significantly more frequent in published CHP vs. NCHP cases. However, all comparisons are exploratory and must be interpreted with extreme caution, as data limitations preclude causal inference. Exhaustive imaging and diagnosis are essential to characterize horn type. Surgical termination is advised, but if expectant management is chosen, close monitoring and multidisciplinary care, including weekly ultrasounds, are advisable to mitigate complications.
14 May 2026
Read appraisal →BMJ open
Mapping the evidence on stillbirth prevention across the reproductive continuum: an umbrella review
OBJECTIVES: To collate and appraise evidence from existing systematic reviews and meta-analyses on interventions to prevent stillbirth and reduce perinatal mortality across the reproductive continuum, including preconception, antenatal, intrapartum and immediate newborn periods. DESIGN: Umbrella review synthesising evidence from systematic reviews, including meta-analyses where available. DATA SOURCES: A comprehensive search was conducted in CENTRAL (via Cochrane Register of Studies Online), PubMed, Embase and Web of Science, along with trial registries (WHO International Clinical Trials Registry Platform, ClinicalTrials.gov and ISRCTN Registry), from inception to 12 January 2026. ELIGIBILITY CRITERIA: Systematic reviews and meta-analyses synthesising randomised controlled trials or quasi-experimental studies that reported stillbirth, perinatal mortality, fetal loss or fetal death were included. Reviews focused exclusively on predefined high-risk populations were excluded. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently extracted data and assessed methodological quality using A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR 2). Grading of Recommendations, Assessment, Development and Evaluation (GRADE) certainty ratings were extracted as reported by the original review authors. Evidence synthesis followed a structured framework adapted from Ota et al, integrating direction of effect and certainty of evidence based on pooled estimates and GRADE assessments. Publication overlap was assessed using the Corrected Covered Area index where relevant. RESULTS: A total of 116 systematic reviews were included, synthesising evidence from randomised controlled and quasi-experimental studies across preconception, antenatal, intrapartum and immediate newborn periods. Evidence from individual reviews showed clear benefit for several interventions, including balanced energy-protein supplementation, home visits by community health workers, birth preparedness interventions, labour induction at or beyond 37 weeks of gestation and skilled or community-based intrapartum care, primarily for reducing perinatal mortality. Reduced antenatal visit schedules compared with standard care were associated with a possible increase in stillbirth or perinatal mortality, indicating potential harm. Many interventions-such as group antenatal care (ANC), nutritional education, case-note provision, routine ultrasound or Doppler monitoring, antibiotic treatment for bacterial vaginosis, antiretroviral therapy in pregnancy and several pharmacological or hormonal interventions-demonstrated unknown or inconclusive effects on stillbirth or perinatal mortality, largely due to imprecision and heterogeneity. CONCLUSIONS: This umbrella review identifies a range of interventions with evidence of effectiveness across the reproductive continuum, particularly those addressing maternal nutrition, continuity of ANC and quality intrapartum and newborn care. However, substantial evidence gaps remain, especially for interventions widely implemented without strong supporting evidence. These findings highlight the need for context-specific implementation research and prioritisation of proven strategies in low- and middle-income countries, where the burden of stillbirth remains highest. PROSPERO REGISTRATION NUMBER: CRD42024531100.
14 May 2026
Read appraisal →BMJ open
Pilates during pregnancy for maternal musculoskeletal pain and discomfort: a systematic review and meta-analysis
OBJECTIVES: The predominant concern during pregnancy is musculoskeletal pain, often accompanied by additional discomforts such as anxiety and insomnia. Pilates, as a low-impact mind-body exercise, may be beneficial in managing musculoskeletal pain and associated symptoms in adults. This systematic review and meta-analysis aimed to synthesise the evidence on the effectiveness of Pilates for alleviating musculoskeletal pain and other discomforts during pregnancy. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed, Scopus, TRIP Medical Database, Web of Science and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched from inception to 14 January 2026. ELIGIBILITY CRITERIA: Randomised controlled trials and prospective non-randomised controlled studies that compared Pilates with other prenatal care modalities for improving musculoskeletal pain and discomfort were eligible. DATA EXTRACTION AND SYNTHESIS: Two researchers independently extracted data using standardised forms with subsequent cross-verification. Risk of bias was assessed using the Cochrane Risk of Bias V.2.0 tool. Meta-analyses were performed using random-effects models. The certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation approach. RESULTS: 13 studies were included in the systematic review, of which 10 contributed data to the meta-analysis. Primary outcomes were pain intensity and disability level. Pain intensity was assessed using Visual Analogue Scale (range 0-10). Moderate-certainty evidence demonstrated that Pilates significantly reduced musculoskeletal pain during pregnancy (mean differences (MD)=-2.59, 95% CI -4.19 to -1.00; I²=91%, p=0.001). Low-certainty evidence suggested that Pilates reduced pregnancy-related disability (standardised mean differences (SMD)=-1.82, 95% CI -2.99 to -0.66; I² = 93%, p=0.002). Secondary outcomes comprised sleep quality and psychological status. Multivariate meta-analysis showed significant improvements in psychological status (SMD=-0.86, 95% CI -1.31 to -0.42; τ²=0.4, I²=86%, p=0.0005) but did not yield statistically significant improvements in sleep quality (MD=-1.93, 95% CI -4.70 to 0.84; I²=93%, p=0.17). Both secondary outcomes were supported by very low-certainty evidence. Risk of bias assessment rated three studies as high risk, three as unclear risk and seven as low risk. Formal assessment of publication bias was not feasible owing to the limited number of studies (fewer than 10 per outcome). CONCLUSION: This meta-analysis demonstrates that, compared with standard care, structured prenatal Pilates significantly alleviates musculoskeletal pain and disability while also enhancing psychological status. PROSPERO REGISTRATION NUMBER: CRD42024628027.
14 May 2026
Read appraisal →PloS one
Maternal body mass index and the risk of early-onset Group B Streptococcus disease in newborns: A systematic review and meta-analysis
BACKGROUND: Early-onset group B Streptococcus disease (EOGBS) remains a leading cause of neonatal morbidity and mortality. The incidence can be substantially reduced by intrapartum antibiotic prophylaxis in women with defined risk factors. However, the role of high prepregnancy body mass index (BMI) as a risk factor remains unclear. This systematic review and meta-analysis therefore aimed to evaluate the association between maternal BMI and the risk of EOGBS, as well as related proxy outcomes, including intrapartum vaginal GBS colonization and rectovaginal or urinary GBS colonization before term. METHODS: We systematically searched MEDLINE, Embase, and Cochrane CENTRAL on the 28th of January 2026, for studies examining the relationship between pregestational BMI and EOGBS or its proxy outcomes. Eligible studies included observational and interventional designs but not case reports and conference abstracts. Risk of bias was assessed using the QUIPS tool. Random-effects meta-regression and sensitivity analyses were performed. RESULTS: We identified 19 eligible observational studies reporting data from a total of 3,707,047 women, encompassing 277,887 cases. For the risk of EOGBS and its proxy outcomes, assuming a log-linear association, our meta-regression showed a 2.4% increase in the odds ratio (OR) per unit increase in BMI. This corresponds to an OR of 1.4 (95% CI 1.1-1.6) for a BMI of 35 and 1.7 (95% CI 1.3-2.3) for a BMI of 45, compared to a normal BMI of 22.3. One very large study on 1,971,346 live singleton births with 780 EOGBS cases, found a hazard ratio of 2.4 (95% CI 1.7-3.4) for a BMI of 35.0-39.9 compared to normal BMI (18.5-24.9). CONCLUSIONS: Although the overall association appears modest, incorporating BMI may improve prevention strategies for EOGBS .
13 May 2026
Read appraisal →Archives of women's mental health
Who is screened for perinatal mental health? findings from an academic health system in California.
PURPOSE: To identify sociodemographic characteristics, prenatal healthcare utilization, and health factors associated with completed mental health screenings during pregnancy and postpartum, respectively. METHODS: We examined electronic medical records (EMR) data on documented perinatal mental health screenings from over 6000 patients who delivered singleton infants within one academic healthcare system in California between 2021 and 2023. Dependent variables included having at least one Edinburgh Postnatal Depression Scale (EPDS) score documented in the EMR during (1) pregnancy and (2) postpartum, among those who completed postpartum care within 12 weeks of delivery. We used univariate frequencies to determine rates of completed screenings and logistic regression models to identify patient characteristics associated with completed screenings in each time period. RESULTS: Overall, 67% of patients completed screenings in pregnancy and 56% completed screenings in postpartum. In pregnancy, patients who were White, multiparous, did not prefer English, began prenatal care in the third trimester, and completed 10 or fewer prenatal care visits each had lower odds of completed screenings than their counterparts. In postpartum, patients who were White, privately insured, had vaginal deliveries, and had term births (at least 37 weeks of gestation) each had lower odds of completed screenings than their counterparts. CONCLUSIONS: Although California law requires perinatal mental health screening in pregnancy and postpartum , the identified inequities in screening suggest additional efforts are needed to ensure all perinatal patients are screened for mental health in accordance with the law. These efforts should be tailored to the populations least likely to be screened in order to achieve universal perinatal mental health screening.
13 May 2026
Read appraisal →Archives of women's mental health
Influences of adverse childhood experiences and weekly pregnancy stress on postpartum mental health symptoms: a machine learning examination
PURPOSE: The goal of this study was to understand how the timing, level, and fluctuation of pregnancy stress affected women's postpartum mental health while also considering their experiences of early life stress (adverse childhood events; ACEs). We hypothesized that overall stress level, as well as stress during particular pregnancy weeks, would influence postpartum mental health. We further hypothesized that fluctuations in weekly perceived stress levels across pregnancy would influence postpartum mental health among women who had experienced ≥ 4 ACEs. METHODS: We collected information on ACEs and weekly stress data from our participants during pregnancy (15 weeks until parturition). Women's depressive and anxiety symptoms were assessed at six-months postpartum. We employed a machine learning approach to explore the predictive utility of timing, level, and fluctuation of pregnancy stress on postpartum mental health symptoms. RESULTS: For all women, higher average stress level across all weeks of pregnancy predicted greater postpartum depressive and anxiety symptoms. Additionally, women with a history of ≥ 4 ACEs were susceptible to stress levels in weeks 20 of pregnancy (depressive symptoms only) and 26 (depressive and anxiety symptoms). Lastly, greater variability in stress levels across pregnancy was also associated with greater depressive symptoms for the women with ≥ 4 ACES. CONCLUSION: In addition to overall stress level, timing of pregnancy stress and fluctuations in stress levels across pregnancy are associated with postpartum mental health for women with a history of substantial ACEs, with implications for focused mental health interventions during pregnancy for these women.
13 May 2026
Read appraisal →American journal of epidemiology
Building the mountain mama & baby cohort: study design, protocol, and early prenatal clinic-based recruitment outcomes
Prenatal e-cigarette and cannabis use are increasing. Though concerning, the risks associated with these emerging exposures are unclear due to methodological limitations of available research. To address these gaps, the Mountain Mama & Baby Study prospectively enrolled a cohort of pregnant women in their first trimester during their initial telehealth visit with a nurse navigator at West Virginia University Medicine obstetric clinics. The study's goals were to (1) demonstrate the feasibility of our recruitment methodology and the representativeness of the sample, (2) establish first and third trimester exposure rates and describe the epidemiology of prenatal e-cigarette and cannabis use, and (3) explore associations between prenatal e-cigarette and cannabis exposure and adverse maternal-infant outcomes. This report describes the rationale, study design, protocol, and the feasibility and generalizability of recruitment. We enrolled 417 of 920 eligible participants (45.3%; 95% CI, 42.1% to 48.6%), exceeding our 20% benchmark. Enrolled participants and those nonenrolled were similar across most sociodemographic characteristics (eg, age, race/ethnicity, marital status, rurality, area deprivation). The Mountain Mama & Baby Study will provide clinicians, pregnant women, and public health practitioners with critical information on the potential harms of prenatal e-cigarette and cannabis use, guiding the design of interventions and recommendations.
12 May 2026
Read appraisal →JMIR mHealth and uHealth
Efficacy and Safety of a Telemedicine System in Patients With Gestational Diabetes Mellitus (TELEGLAM): Single-Center, 2-Arm, Randomized, Open-Label, Parallel-Group Study
BACKGROUND: In the management of gestational diabetes mellitus (GDM), the usual medical treatment requires frequent visits for glucose monitoring and insulin dose adjustment, and this imposes significant physical, psychological, and economic burdens on pregnant women. As mobile health platforms become increasingly integrated into diabetes care, telemedicine may help alleviate these burdens; however, evidence evaluating its effectiveness as a replacement for routine in-person GDM care remains limited. OBJECTIVE: This study aims to evaluate the impact of telemedicine on the quality of life and costs for patients with GDM requiring insulin therapy. METHODS: This single-center, 2-arm, randomized, open-label, parallel-group study included patients with GDM who started insulin injection therapy. Participants were randomized to either the telemedicine or standard face-to-face care groups for 10 (SD 2) weeks. The telemedicine intervention used a smartphone-linked platform that enabled the automatic transfer of glucose data from connected glucose meters and facilitated real-time video consultations. Primary end points included costs and patient satisfaction. Costs were assessed using claims data, transportation calculations, and wage-based productivity losses, while patient satisfaction was evaluated through changes in the Problem Areas in Diabetes Survey and Diabetes Therapy-Related Quality of Life questionnaire scores. Secondary outcomes included glycemic control and perinatal outcomes. RESULTS: In total, 38 participants were included, with 18 assigned to the telemedicine group and 20 to the standard care group. Total costs (32,712, 95% CI 15,412-50,013 vs 59,202, 95% CI 42,603-75,800 Japanese yen; $284, 95% CI 134-435 vs $515, 95% CI 370-659, purchasing power parity [PPP]-adjusted; P=.01), direct non-health care costs (922, 95% CI -240 to 2084 vs 2561, 95% CI 1447-3676 yen; $8, 95% CI -2 to 18 vs $22, 95% CI 13 to 32 PPP-adjusted; P=.02), and indirect costs (8981, 95% CI -7119 to 25,082 vs 32,832, 95% CI 17,384-48,279 yen; $78, 95% CI -62 to 218 vs $285, 95% CI 151-420 PPP-adjusted; P=.01) reduced significantly in the telemedicine group compared with the standard care group. The improvements in the Problem Areas in Diabetes Survey (-7.6, 95% CI -13.7 to -1.4; P=.02) and Diabetes Therapy-Related Quality of Life domain 1 (10.5, 95% CI 0.9-20.1; P=.03) scores from the baseline were significantly greater in the telemedicine group than that in the standard care group. Nonetheless, glycemic control and frequency of perinatal complications were comparable between the 2 groups. Consultation time was similar across groups, suggesting no added workload for clinicians. CONCLUSIONS: In this randomized trial, mobile health-enabled telemedicine safely replaced routine in-person visits for patients with GDM requiring insulin therapy. Telemedicine significantly reduced psychological and economic burdens without compromising glycemic or perinatal outcomes, demonstrating its value as a patient-centered and cost-efficient model of care. These findings support the broader implementation of mobile-based telemedicine approaches in GDM management.
12 May 2026
Read appraisal →Journal of Crohn's & colitis
Safety of advanced therapies during pregnancy in women with immune-mediated inflammatory diseases: a systematic review and meta-analysis
BACKGROUND AND AIMS: We aimed to assess the safety of advanced therapies, excluding tumor necrosis factor inhibitors (anti-TNFs), for the treatment of immune-mediated inflammatory diseases (IMIDs), on pregnancy and neonatal outcomes. METHODS AND ANALYSIS: We performed a systematic review and meta-analysis. Study selection and data extraction were conducted independently by two reviewers. Primary outcomes included live births, major congenital malformations (MCMs), miscarriages, and stillbirths. Risk of bias was assessed using ROBINS-I, and the certainty of evidence was evaluated using GRADE. Meta-analyses of prevalence and odds ratios (ORs) comparing advanced therapies with anti-TNFs were conducted using fixed and random effect models. RESULTS: Of 14 661 manuscripts screened, 49 studies met the inclusion criteria: eight cohorts, nine case series, and 32 case reports. Most cohort studies were at a critical risk of bias. The majority of the available data related to ustekinumab (1324 exposed offspring) and vedolizumab (585 exposed offspring) whereas data on other biologics and JAK inhibitors were very limited. Pregnancies exposed to biologics had a pooled prevalence of 82.43% for live births, 0.55% for MCMs, 8.16% for miscarriage, and 0.00% for stillbirths. No significant differences in adverse pregnancy or neonatal outcomes were observed compared with women exposed to anti-TNFs. Overall, the level of evidence was very low, due largely to reliance on small observational studies and case reports. CONCLUSION: Current evidence does not suggest an increased risk of adverse pregnancy or neonatal outcomes with advanced therapies for IMIDs. However, larger, high-quality studies are needed, and these findings should be interpreted as hypothesis-generating.
12 May 2026
Read appraisal →Molecular omics
Placental metabolomics for assessment of pregnancy complications: a systematic review
Metabolomics is a powerful tool for understanding biological function at the cellular level. While this omics technology has found application in areas ranging from toxicology to cancer, its potential for the study of human pregnancy complications is in its infancy. Proper placental function is critical for a healthy pregnancy and assessing placental metabolism offers a direct window into placental physiology. This review aims to analyse placental metabolomics in pregnancy complications in humans. A systematic search was completed using PubMed and Google Scholar, and the Covidence software was used for the screening process. Following title and abstract screening and full-text review, 32 articles remained and were included in this review. Multiple articles performed metabolomics using mass spectrometry and/or nuclear magnetic resonance to study pre-eclampsia, gestational hypertension, foetal growth restriction, maternal obesity, gestational diabetes mellitus, intrahepatic cholestasis of pregnancy, and preterm birth. A subset of pregnancy complications was investigated in only a single study each (human immunodeficiency virus in pregnancy, neural tube defects, chromosomal disorders, chronic hypoxia, and recurrent pregnancy loss). Univariate analyses identified potential biomarkers of pregnancy complications. Multivariate analyses demonstrated that the placental global metabolic profiles could separate healthy and complicated pregnancies and identified metabolic pathways (e.g. amino acid metabolism, lipid and phospholipid metabolism) to explain pathogenesis and the mechanisms of disease. We highlight knowledge gaps and future directions, emphasizing the need for data replication and inclusion of variables such as biological sex in the field of placental metabolomics.
11 May 2026
Read appraisal →BMJ global health
Transforming reproductive healthcare delivery through telemedicine services expansion: evidence from a mixed-methods pilot evaluation in rural Ghana
BACKGROUND: In 2021, Ghana's National Comprehensive Abortion Care Standards and Protocols recognised telemedicine as an approved delivery model for early medical abortion (EMA). Following a successful pilot in Accra, MSI Reproductive Choices Ghana expanded their telemedicine model to more rural areas and broadened their package of sexual and reproductive health (SRH) services to include fertility evaluation. This study evaluates the expanded model. METHODS: A mixed-methods evaluation (January 2024 to March 2025) drew on routine clinical data, courier and call centre tracking, client feedback surveys, and qualitative, individual in-depth interviews with telemedicine clients to assess clinical safety, service utilisation and user experience. Quantitative analysis included descriptive statistics and unadjusted logistic and ordinal regression. Qualitative interviews with clients explored feasibility, acceptability and implementation challenges. A deductive, thematic analysis was conducted with the support of Delve qualitative research software and guided by the Consolidated Framework for Implementation Research. RESULTS: A total of 2721 clients accessed telemedicine services, with 70.0% receiving EMA and 29.5% short-term contraceptive methods. Among EMA clients reached for follow-up, 96.9% reported complete abortion with no further intervention. Satisfaction was high: 89.4% would recommend the service, and 78.2% would use it again. Qualitative findings highlighted that clients valued privacy, convenience and autonomy, particularly in stigmatised or crowded spaces. Barriers to accessing services included unclear eligibility criteria, limited digital access and misperceptions that the service was for abortion only. Most clients contacted the service between 4 and 6 weeks' gestation. Post-abortion contraception uptake was 24.8%, with no significant variation by age or location. Nearly half of clients reported having no other way to access care. CONCLUSIONS: Telemedicine is a feasible, safe and acceptable model for SRH delivery in Ghana. Findings will inform national scale-up and strategies to strengthen equity, communication and service integration.
11 May 2026
Read appraisal →BMJ open
Does previous pregnancy experience improve folic acid supplementation uptake? A systematic review and meta-analysis.
OBJECTIVE: To examine whether multiparous women have more or less folic acid uptake than primiparous women. OUTCOMES: Preconceptional, periconceptional and postconceptional folic acid use among all pregnant women and high risk pregnant women. DESIGN: Systematic review and meta-analysis. DATA SOURCES: MEDLINE-Ovid, CINAHL Ultimate, Scopus and ProQuest Medical. ELIGIBILITY CRITERIA: Observational epidemiological studies comparing folic acid use between primiparous and multiparous women, published in English from January 1994 to June 2024. DATA EXTRACTION AND SYNTHESIS: Two reviewers screened all papers meeting the eligibility criteria. One reviewer completed data extraction and assessed study quality using an adapted version of the Newcastle-Ottawa Scale. Three other reviewers independently assessed 10% of the studies as a quality check. Random-effects (DerSimonian and Laird) meta-analyses combined results for each outcome. Heterogeneity, risk of publication bias and certainty of evidence were assessed. RESULTS: Of the 10 982 records identified, 81 studies involving 826 855 women were included in the review. 27 studies were conducted in Europe, 22 in Asia, 11 in North America, 7 in Africa, 7 in Australia, 5 in the Middle East and 2 in South America. Multiparous women were consistently less likely to take folic acid before and during pregnancy than primiparous women. For preconceptional use, the odds were 29% lower among multiparous women (adjusted OR (aOR): 0.71; 95% CI 0.64 to 0.78; n=25 studies; I2=88.67%), and 58% lower in multiparous high-risk women (aOR: 0.42, 95% CI 0.27 to 0.64; n=3 studies; I2=27.28%). For periconceptional use, the odds were 32% lower among multiparous women (aOR: 0.68; 95% CI 0.63 to 0.74; n=28 studies; I2=85.46%). Postconception, the odds were 21% lower among multiparous women (aOR: 0.79; 95% CI 0.74 to 0.85; n=33 studies; I2=85.91%). By the second trimester, there was no significant difference between the two parity groups (aOR: 0.96; 95% CI 0.87 to 1.05; n=4 studies; I2=0.00%). The certainty of evidence was low for preconceptional, periconceptional and postconceptional uptake due to heterogeneity, and moderate for preconceptional uptake among high-risk women. CONCLUSIONS: Multiparous women were less likely to take folic acid preconceptional, periconceptional and postconceptionally, despite their previous pregnancy experience. Barriers to folic acid supplement uptake among multiparous women need to be identified, and strategies to address them in preconception, antenatal and interconception care should be investigated. PROSPERO REGISTRATION NUMBER: CRD42024553241.
11 May 2026
Read appraisal →Artificial intelligence in medicine
Size doesn't matter: Assessing the trustworthiness of large language models in medical contexts: A focus on epidural information retrieval.
BACKGROUND: Since the release of ChatGPT, numerous LLMs have emerged, providing easy access to information without the need for technical expertise. However, relying on these systems can influence important life decisions, such as the choice to use epidural analgesia during childbirth. Epidural analgesia is widely regarded as the "gold standard" for pain relief during childbirth. However, limited access to anaesthesiologists and gaps in knowledge may prompt individuals to seek information from unverified sources, including AI systems. Misinformation in this area can discourage the use of effective analgesia, highlighting the need to assess the accuracy of LLM-generated content. OBJECTIVE: To evaluate the reliability of LLM-generated information regarding epidural analgesia. METHODS: We posed 10 standardized questions about epidural analgesia to 12 LLMs, each question reformulated 10 times in both Spanish and English, resulting in 2400 responses. Two anaesthesiologists were involved in the assessment process. One expert performed the initial ratings, while the second independently verified the evaluations assessing the outputs using an extended SERVQUAL framework. RESULTS: ChatGPT performed best, followed by Gemini 2. Medium-sized models, such as Phi-3 and OpenChat, outperformed several larger models like Llama-2 or Llama-3, challenging the notion that "bigger is better" and offering potential advantages in low-resource settings (e.g., Phi-3 outperformed Llama-2 with an average increase of 81% across all metrics). Specialized models did not show superior performance. Except for ChatGPT, English responses were generally more reliable than Spanish, with some Spanish outputs incoherent. ChatGPT also exhibited the least variability between responses. CONCLUSIONS: Despite promising performance, LLMs display limitations in medical contexts. Collaboration between national and international medical societies is crucial to develop evidence-based resources to guide LLM training and improve information trustworthiness.
10 May 2026
Read appraisal →Reproductive biomedicine online
AI-driven paradigm shift in follicle ultrasound monitoring: from automated segmentation to clinical decision support
This commentary delineates the developmental pathway of artificial intelligence (AI) in ultrasound follicular monitoring, highlighting a paradigm shift from automated segmentation to clinical decision support. The deep learning-based CR-Unet and C-Rend models have enabled accurate follicle segmentation and measurement from two-dimensional to three-dimensional imaging, substantially improving boundary segmentation accuracy and measurement consistency. Building on this foundation, the study further establishes two-dimensional follicle area and three-dimensional follicle volume as novel biomarkers, providing quantitative criteria for predicting oocyte maturity and optimizing the timing of human chorionic gonadotrophin triggering. Through seamless integration of algorithms into the Acclarix LXK9 ultrasonography equipment, an intelligent monitoring platform with real-time analytical capabilities has been developed, demonstrating significantly superior measurement accuracy and consistency compared with manual operations. These advancements represent a transformative leap from image segmentation to AI-driven clinical decision making, offering robust technical support for standardized and precise management in assisted reproduction.
9 May 2026
Read appraisal →Menopause (New York, N.Y.)
Deciphering the predictors of endometrial nonbenign lesions in asymptomatic postmenopausal women via explainable machine learning
OBJECTIVES: Timely identification of endometrial nonbenign lesions led to improved outcomes, but there was a lack of effective predictive models for asymptomatic endometrial thickening. The aim of this study was to develop a strong machine learning (ML) model for assessing the risk of endometrial malignancy in asymptomatic patients after menopause. METHODS: This retrospective study was designed to collect data from 971 postmenopausal asymptomatic women with endometrial thickening. The bootstrap resampling method was used for model training, internal validation, and external validation. With 41 easily accessible characteristics, multifactor regression and least absolute shrinkage and selection operator regression were performed for feature selection. Nine ML algorithms were applied to build a model. To explain the final model and rank feature importance, the SHapley Additive exPlanation (SHAP) method was utilized. Meanwhile, a nomogram was developed to facilitate model interpretation. RESULTS: The comprehensive methodologies identified parity, Doppler flow signals, endometrial thickness, cancer antigen 125, and D-dimer as significant predictors. The logistic regression (LR) model demonstrated superior performance compared with other ML algorithms, achieving an accuracy of 88%, a sensitivity of 78%, a specificity of 98%, and an area under the receiver operating characteristic curve of 0.81. Furthermore, individualized predictions of endometrial malignancy were visualized through a force plot generated by SHAP analysis. A nomogram based on the LR model was subsequently constructed, showing area under the receiver operating characteristic curve values of 0.82, 0.82, and 0.81 for the training, internal validation, and external validation cohorts, respectively. The calibration curve demonstrated excellent consistency. CONCLUSIONS: We developed an LR-based nomogram model and interpreted using the SHAP method, which provided visual insights for detecting endometrial nonbenign lesions in asymptomatic postmenopausal women. This approach would aid clinicians in providing individualized treatment and help avoid unnecessary invasive surgeries.
5 May 2026
Read appraisal →Pediatric radiology
Deep learning based gestational age estimation from multi-view fetal brain magnetic resonance imaging
BACKGROUND: Gestational age (GA) is essential for assessing fetal development, but conventional methods such as last menstrual period and ultrasound are often inaccurate, particularly in late pregnancy. Recent advances in deep learning (DL) and MRI offer more reliable and consistent GA estimation by capturing detailed fetal brain development. OBJECTIVE: This study aimed to develop deep learning models for GA prediction using multi-view fetal brain MRI and to compare their performance with conventional biometric regression techniques. MATERIALS AND METHODS: A total of 1,321 fetal MRI scans were used to train and evaluate various DL models, while an additional 80 publicly available MRI scans served as an external test set. Two training strategies were explored: transfer learning versus training from scratch, and single-view versus multi-modality input. RESULTS: The pre-trained ResNet-101 model achieved a mean absolute error (MAE) of 4.47 days and a coefficient of determination (R2) of 0.96 on the internal test set. On the external test set, the model yielded an MAE of 6.57 days, outperforming the biometric regression method, which achieved an MAE of 9.42 days. Explainability analysis revealed that the model predominantly focused on the lateral ventricles, cerebellum, and surrounding brain regions for GA prediction. CONCLUSIONS: The integration of multi-view MRI and transfer learning significantly enhanced the predictive accuracy of DL models for GA estimation. The proposed approach outperformed conventional biometric regression and highlighted clinically relevant anatomical regions, demonstrating its potential for use in prenatal diagnostic applications.
5 May 2026
Read appraisal →Taiwanese journal of obstetrics & gynecology
Segmentation of uterus and myoma from MRI image based on deep learning
OBJECTIVE: Myoma is a common gynecologic condition with abnormal muscular and fibrotic tissue growth in the uterus. Compared with sonography, magnetic resonance imaging (MRI) provides more detailed information with a better diagnostic accuracy. However, the interpretation of the imagery is shrewdness- and experience-dependent. The therapeutic strategy of myoma can be directly affected by the relative location and size in the uterus. Hence, this study aimed to generate an objective standardized modality in interpreting the imagery. MATERIALS AND METHODS: Deep learning (DL) was used to train two models using MRI imagery labeled by radiologists: 1) Model Uterus + Endometrium: segmentation of uterus and endometrium; 2) Model Myoma: segmentation of myoma. The myomas were classified based on their relative position in the uterus according to FIGO criteria. Each set of MRI image sequence was obtained from uterine sagittal sections with 5.5-mm interval of 30 slices per case. The dataset was divided into training, validation, and test sets. The number of images was first increased by data augmentation before implementing a DL semantic segmentation DeepLabV3+model. Cross entropy and Dice function were used for the loss and evaluation functions, respectively. RESULTS: The Dice values of uterus, endometrium and myoma segmentation reached 81.55%, 73.49% and 67.34%, respectively. Thus, the 3-D prediction of the uterine, endometrial and myomatous regions had a positive effect on determining the classification of myomas. CONCLUSION: DL can be used as a tool to improve the diagnosis and classification of uterine myoma. This model can also be applied to other gynecologic diseases.
4 May 2026
Read appraisal →PloS one
Prevalence of perinatal depression in Ethiopia: An umbrella review of systematic review and meta-analysis studies
BACKGROUND: Perinatal depression is a significant public health concern that affects women during pregnancy and the postpartum period. Despite being acknowledged globally, the burden of perinatal depression is particularly profound in low and middle-income countries, such as Ethiopia. This umbrella review is therefore intended to systematically consolidate findings on perinatal depression among Ethiopian women to better understand its prevalence, thereby highlighting the gaps in current research and informing future interventions. METHODS: This umbrella review used the PRIOR checklist for the reviews of systematic review and meta-analytic studies. The review protocol has been registered on PROSPERO: CRD42023495174. PubMed, EMBASE, and PsycINFO databases were searched for the presence of systematic review and meta-analysis studies. The quality of included articles has been evaluated with a measurement tool to assess systematic review and meta-analysis studies (AMSTAR). A novel graphic approach with an estimated corrected covered area (CCA) has been used to determine the degree of overlap of primary studies in the systematic review and meta-analysis studies. The weighted random effect model was used during the meta-analysis. RESULT: A total of 28 unique primary studies and 8 systematic reviews, and meta-analysis studies with 15,592 participants were included in this umbrella review. The pooled prevalence of perinatal depressive symptoms in the included systematic review and meta-analysis studies ranges from 20.1% to 25.8%. The pooled umbrella prevalence of perinatal depressive symptoms among women in Ethiopia was 22.49% (95 CI%:21.38, 23.59). The pooled umbrella analysis revealed that the antenatal and postnatal depressive symptoms were 22.76% (95% CI: 19.9, 25.62) and 21.75% (95% CI: 21.03, 22.48), respectively. In addition, the pooled prevalence of perinatal depression in studies that included 10 or below primary studies is 22.86% (95%CI:20.39, 25.33), and in those that included below 10 primary studies, it was 22.10% (95%CI: 21.55, 22.65). The novel graphic presentation depicted a very high degree of overlap of primary studies in the included systematic reviews and meta-analysis studies; corrected covered area (CCA) of 25.5%. Four of the included studies (fifty percent) had high methodological quality, and the remaining four relied on a moderate quality range. CONCLUSION: The pooled overall, antenatal, and postnatal prevalence of depression symptoms was high in Ethiopia, with no significant difference during the antenatal and postnatal period. An improved understanding of perinatal depression will therefore guide policymakers and health practitioners in developing targeted strategies to alleviate this mental health challenge.
3 May 2026
Read appraisal →Stroke
Preterm Delivery and Long-Term Risk of Maternal Stroke: Systematic Review and Meta-Analysis
BACKGROUND: Adverse pregnancy outcomes are linked to increased risk of maternal cardiovascular disease. However, the association between preterm delivery (PTD) and long-term risk of stroke in the mother remains uncertain, particularly in the case of spontaneous PTD. METHODS: A systematic review and meta-analysis were performed to provide an up-to-date synthesis of the evidence on the association between PTD and long-term maternal stroke. PubMed, CINAHL, and Web of Science were searched for relevant articles published between January 1, 2000, and May 6, 2025. Eligible studies included cohort and case-control studies examining populations of parous women. Primary exposure was defined as any PTD; secondary exposures were spontaneous PTD and medically indicated PTD. The primary outcome was defined as any stroke; secondary outcomes were ischemic and hemorrhagic stroke. Two reviewers screened studies, extracted data, and performed quality assessments. Pooled unadjusted and adjusted effect estimates (as defined by the original study) were calculated separately using random effects inverse variance models. RESULTS: Eleven thousand twenty-five studies were screened for eligibility. Across 21 studies including a total of 8.7 million participants, PTD was consistently associated with increased stroke risk. The follow-up period ranged from 8 to 57 years. The primary meta-analysis demonstrated a positive association between any PTD and any stroke (adjusted risk ratio [aRR], 1.66 [95% CI, 1.34-2.05]). A high level of heterogeneity was observed (I2=97%, τ2=0.15), possibly due to variations in exposure definition, outcome ascertainment, and follow-up durations. Spontaneous PTD (aRR, 1.37 [95% CI, 1.15-1.64]) and medically indicated PTD (aRR, 2.08 [95% CI, 1.70-2.54]) were associated with any stroke. PTD was positively associated with ischemic (aRR, 1.59 [95% CI, 1.45-1.75]) and hemorrhagic stroke (aRR, 1.44 [95% CI, 1.06-1.94]). CONCLUSIONS: Women who have experienced a PTD, including spontaneous PTD, may be at increased risk of stroke in later life. These women may benefit from targeted cardio-metabolic preventive interventions postpartum to reduce their risk.
2 May 2026
Read appraisal →Psychological medicine
Intrinsic regional brain activity differences and its relationship with neurotransmitter and gene expression in postpartum depression: a voxel-based meta-analysis
BACKGROUND: Inconsistent findings persist across resting-state functional imaging studies of regional brain alterations in postpartum depression (PPD), while connections to transcriptional profiles and neurotransmitter systems remain largely uncharacterized. METHODS: We performed a whole-brain voxel-wise meta-analysis of resting-state functional imaging studies comparing PPD patients and healthy controls using SDM-PSI software. JuSpace toolbox analyzed atlas-based nuclear imaging-derived neurotransmitter maps, and transcriptional data were sourced from the Allen Human Brain Atlas. RESULTS: Our systematic review identified 12 functional imaging studies (475 PPD patients, 504 controls). Patients with PPD displayed increased resting-state functional activity in the left inferior occipital gyrus and left precuneus as well as decreased resting-state functional activity in the right amygdala and left precentral gyrus. These functional alterations spatially overlapped with serotonergic, dopaminergic, and VAChT systems. Transcriptional analysis revealed PPD-related gene enrichments in ion channel function (transmembrane transport, gated/passive channels) and channel complexes. CONCLUSIONS: The meta-analysis revealed functional alterations within the DMN, limbic, and primary sensorimotor systems in PPD patients. These changes were linked to neurotransmitter alterations and genetic modulations underlying brain dysfunction. Collectively, these findings advance mechanistic understanding of PPD pathophysiology.
2 May 2026
Read appraisal →The Cochrane database of systematic reviews
Surgery for women with anterior compartment prolapse
BACKGROUND: Anterior compartment prolapse is the most common pelvic organ prolapse. Clinicians have utilised various surgical techniques to minimise the rate of recurrent pelvic organ prolapse (POP). OBJECTIVES: To determine the benefits and harms of surgery for anterior compartment prolapse. SEARCH METHODS: We searched the Cochrane Incontinence Specialised Register on 29 April 2024. This includes records indexed in the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, ClinicalTrials.gov and WHO ICTRP. We also handsearched journals, conference proceedings and the reference lists of included studies. SELECTION CRITERIA: We included randomised controlled trials (RCTs) that compared surgical operations in women with anterior compartment prolapse. DATA COLLECTION AND ANALYSIS: Two review authors independently selected trials, assessed their risk of bias and extracted their data. MAIN RESULTS: We included 41 RCTs evaluating 4531 women. The certainty of evidence ranged from very low to moderate due to risk of bias and imprecision. Anterior native tissue repair versus biological graft at 1 to 2 years There is likely little to no difference between these two methods in terms of awareness of prolapse (RR 1.20, 95% CI 0.80 to 1.81; 5 RCTs, 515 women; moderate certainty). Native tissue repair likely increases the risk of recurrent anterior compartment prolapse (RR 1.53, 95% CI 1.19 to 1.97; 8 RCTs, 707 women; moderate certainty); the result suggests that if 21% of women had recurrent prolapse after biological graft, 24% to 40% would have recurrence after native tissue repair. There may be little to no difference between native tissue repair and biological graft repair groups for repeat surgery for prolapse (RR 0.99, 95% CI 0.45 to 2.17; 6 RCTs, 524 women; low certainty). Surgery for stress urinary incontinence was not reported. There is likely little to no difference between groups in dyspareunia (RR 0.87, 95% CI 0.39 to 1.93; 2 RCTs, 151 women; moderate certainty). De novo dyspareunia was not reported. Anterior native tissue repair versus transvaginal anterior permanent mesh at 1 to 2 years Native anterior tissue repair likely results in more awareness of prolapse than anterior mesh repair (RR 1.77, 95% CI 1.37 to 2.27; 10 RCTs, 1203 women; moderate certainty); the result suggests that if 13% of women were aware of prolapse after mesh repair, 17% to 29% would be aware after native tissue repair. Native tissue repair may result in slightly increased recurrent anterior compartment prolapse (RR 3.21, 95% CI 2.27 to 4.55; 20 RCTs, 2483 women; low certainty). There was moderate heterogeneity (I2 = 73%). The result suggests that if 13% of women had recurrent prolapse after mesh repair, 29% to 58% would have recurrence after native tissue repair. Repeat surgery for prolapse is probably more likely after native tissue repair (RR 2.17, 95% CI 1.31 to 3.58; 14 RCTs, 1799 women; moderate certainty); the result suggests that if 2% of women required repeat surgery after mesh repair, 3% to 8% would do so after native tissue repair. There is likely little or no difference between groups in surgery for stress urinary incontinence (RR 1.32, 95% CI 0.73 to 2.40; 6 RCTs, 967 women; moderate certainty). There is likely little or no difference between groups for dyspareunia (RR 1.06, 0.59 to 1.90; 8 RCTs, 1096 women; moderate certainty). There is likely little or no difference between groups for de novo dyspareunia (RR 0.64, 95% CI 0.36 to 1.12; 11 RCTs, 797 women; moderate certainty); the result suggests that if 7% of women reported dyspareunia after mesh repair, 2% to 8% would do so after native tissue repair. Permanent anterior vaginal mesh versus abdominal sacrocolpopexy at 1 year There may be little to no difference between permanent anterior vaginal mesh and abdominal sacrocolpopexy groups in awareness of prolapse (RR 0.93, 95% CI 0.45 to 1.94; 3 RCTs, 441 women; low certainty). There was some heterogeneity (I2 = 37%). There is likely little or no difference between groups in recurrent anterior compartment prolapse (RR 0.95, 95% CI 0.46 to 1.97; 4 RCTs, 306 women; moderate certainty). There was some heterogeneity (I2 = 69%). The result suggests that if recurrent prolapse occurred in 26% of women after sacrocolpopexy, 12% to 51% would have recurrence after transvaginal mesh repair. There may be little or no difference between groups in repeat surgery for prolapse (RR 1.68, 95% CI 0.56 to 5.04; 3 RCTs, 455 women; low certainty). There may be little or no difference between groups in repeat surgery for mesh complications (RR 2.61, 95% CI 0.62 to 10.99; 2 RCTs, 373 women; low certainty); the result suggests that if 1% of women needed repeat surgery for mesh exposure after sacrocolpopexy, 0.5% to 12% would do so after transvaginal mesh repair. There may be little or no difference between groups in surgery for stress urinary incontinence (RR 0.78, 95% CI 0.20 to 3.12; 2 RCTs, 299 women; low certainty). There was some heterogeneity (I2 = 60%). Dyspareunia was not reported. De novo dyspareunia is probably more likely to be reported with permanent anterior vaginal mesh than after abdominal sacrocolpopexy (RR 2.15, 95% CI 1.17 to 3.98; 2 RCTs, 248 women; moderate certainty); the result suggests that if 10% of women reported dyspareunia after abdominal sacrocolpopexy, 12% to 40% would do so with permanent anterior vaginal mesh. AUTHORS' CONCLUSIONS: Recurrence is probably more likely after native tissue repair than with biological graft or absorbable synthetic mesh at one to two years. We found no data for surgery for stress urinary incontinence. Anterior native tissue repair likely increases awareness of prolapse, recurrence and surgery for prolapse compared with transvaginal anterior permanent mesh repair. It is likely that fewer women report dyspareunia after abdominal sacrocolpopexy than with permanent mesh repair. For other outcomes, there was little or no difference between the groups being compared. Many of the transvaginal permanent meshes evaluated have been removed from the market because of reported complications. Five studies tested mesh kits that are currently available. We suggest that clinicians and women use caution when utilising these products as their long-term safety and efficacy have not yet been established.
28 Apr 2026
Read appraisal →BMJ open
Breastfeeding initiation and continuation among women on medicines: a systematic review and meta-analysis
OBJECTIVES: Breastfeeding provides essential health benefits for infants and mothers, yet initiation and continuation can be influenced by maternal medication use. Uncertainty regarding medication safety may lead to early discontinuation or avoidance of necessary treatment. We conducted a systematic review and meta-analysis to estimate the prevalence of breastfeeding initiation and continuation at 6 months post partum among women using medications. DESIGN: Systematic review and meta-analysis using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. DATA SOURCES: PubMed, Web of Science, Academic Search Premier (EBSCO) and Google Scholar were searched up to 30 November 2024. ELIGIBILITY CRITERIA: For selecting studies: We included cohort, cross-sectional and observational studies reporting breastfeeding initiation at birth and continuation at 6 months post partum among women aged ≥18 years using medications during pregnancy or post partum. Studies reporting medication type and duration of breastfeeding were prioritised. DATA EXTRACTION AND SYNTHESIS: Two independent reviewers screened, extracted and coded data using standardised methods. Risk of bias was assessed using validated tools. Pooled prevalence estimates were calculated using a random effects meta-analysis and meta-regression was performed to explore factors associated with breastfeeding outcomes. Findings were summarised in GRADE evidence profiles and synthesised qualitatively. RESULTS: Of 286 retrieved articles, 29 met the inclusion criteria and 28 were included in the meta-analysis. 14 (48%) were cohort studies reporting breastfeeding prevalence while using medications. The pooled prevalence of breastfeeding initiation among women on medication during pregnancy or post partum was 75.2% (95% CI 69.8% to 80.7%; range 14-98%), with high heterogeneity (I²=99.2%, p<0.001). Overall prevalence of breastfeeding at 6 months post partum was 53.2% (95% CI 43% to 63%). Meta-regression showed that women in high-income countries were less likely to initiate (β=-0.27, 95% CI -0.54 to -0.00, p=0.04) or continue breastfeeding at 6 months (β=-0.27, 95% CI -0.54 to -0.01, p=0.04). Women using antidepressants (β=-0.45, 95% CI -0.87 to -0.02, p=0.04) and opioids (β=-0.50, 95% CI -0.93 to -0.08, p=0.02) were less likely to continue breastfeeding at 6 months. Women living with HIV on ART in low- and middle-income countries had higher continuation rates, likely due to supportive public health programmes. CONCLUSION: Breastfeeding initiation among women using medications is generally high, but continuation declines substantially, particularly among women on psychotropic, opioid or antiepileptic drugs. HIV status, medication type, healthcare support and national guidelines influence breastfeeding outcomes. Targeted interventions, including provider education, medication-specific lactation guidance and supportive workplace policies, are essential to promote sustained breastfeeding among women using medications.
27 Apr 2026
Read appraisal →Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology
Antenatal psychological interventions may ameliorate postpartum depression: a systematic review and meta-analysis
BACKGROUND: This study aimed to systematically evaluate the effects of psychological interventions during pregnancy on the intervention outcomes and incidence rate in women with postpartum depression. METHODS: Databases (PubMed, Medline, Web of Science, Cochrane Library, EMBASE) were searched from inception to December 2024 for randomised controlled trials assessing prenatal psychological interventions (e.g., mindfulness, psychosocial support) in pregnant women without severe mental illness. Primary outcomes included Edinburgh Postnatal Depression Scale (EPDS), Patient Health Questionnaire-9 (PHQ-9), Perceived Stress Scale-10 (PSS-10), Spielberger State-Trait Anxiety Inventory (STAI) scores, and PPD incidence within 6 weeks postpartum. Quality was assessed using the Cochrane risk-of-bias tool; meta-analysis was performed with RevMan 5.3. RESULTS: A total of 10 articles were included, with 6700 study subjects in total, including 3345 in the intervention group and 3355 in the control group, all of which were randomised controlled trials. The incidence rate of postpartum depression in the intervention group was significantly reduced (OR = 0.73, 95% CI [0.57-0.95], P = 0.02). The scores of EPDS, PHQ-9, PSS-10, and STAI in the intervention group were all lower than those in the control group. CONCLUSION: Psychological interventions during pregnancy can significantly reduce postpartum depression-related scale scores and incidence rates, and improve depressive symptoms, anxiety, and perceived stress. However, due to the heterogeneity of intervention types, this study cannot determine the optimal intervention method and thus provides preliminary evidence for clinical prevention. Clinicians should select interventions based on resource availability and individual characteristics of pregnant women, while future studies should focus on direct comparisons of different intervention types to provide more targeted guidance. Postpartum depression is a common mental health problem that affects many women after childbirth. It can harm both the mother’s well-being and the baby’s development. This study combined data from ten clinical trials, including 6,700 participants, to evaluate whether psychological interventions during pregnancy can help prevent postpartum depression. The results showed that women who received psychological support—such as mindfulness training, counselling, or group therapy—had fewer depressive symptoms, lower anxiety and stress levels, and a significantly reduced incidence rate compared with those who received routine care. These findings suggest that providing psychological care during pregnancy is an effective way to reduce the risk of postpartum depression and to promote mental health for both mothers and infants. Early psychological support should be considered an important part of prenatal care.
26 Apr 2026
Read appraisal →The pharmacogenomics journal
A randomized trial to evaluate attitudes regarding pharmacogenomics among pregnant and pediatric populations: design and baseline characteristics.
Pharmacogenomics (PGx) is a key component of precision medicine, yet most PGx studies exclude pregnant people and children. The VICE (Vanderbilt Integrated Center of Excellence)-MPRINT (Maternal and Pediatric Precision in Therapeutics): Maternal and Pediatric Pharmacogenetics Trial is a single-center, randomized control trial to assess how PGx testing and return of results influence patients' understanding and perceived utility of PGx testing in a pregnancy and pediatric cohort. Pregnant individuals and families or guardians of children with a chronic health condition aged 0-16 were recruited. We assessed participants' knowledge and attitudes regarding PGx testing at baseline and after receiving results with patient-friendly interpretations. Cases received an educational video about PGx testing with return of results. Controls received PGx test results alone. We aimed to determine perspectives regarding PGx in these understudied populations with the goal of promoting research and clinical implementation of PGx for pregnant women and children.
26 Apr 2026
Read appraisal →Biomedical physics & engineering express
Impact of multimodal information on the estimation of fetal growth indicators using machine learning regression models
Accurate estimation of fetal growth indicators such as birth weight, birth length, and gestational age at birth is essential for monitoring pregnancy outcomes and guiding clinical decisions. Traditional predictive models typically rely on ultrasound-based fetometric data to estimate fetal weight or length. While valuable, these models provide estimates only at the time of measurement, rather than predicting values at birth, and may overlook important clinical and sociodemographic factors that also influence fetal growth. This study aimed to evaluate whether incorporating echographic, clinical, and sociodemographic features could improve the accuracy of predicting fetal growth indicators at birth and to quantify the contribution of each variable. Data from 154 cases were collected and processed for model development (61.5% for training and 38.5% for testing), divided into three feature sets: fetometric, clinical-sociodemographic, and combined clinical, echographic, and sociodemographic data. Six regression models were developed to predict three fetal growth indicators: birth weight, birth length, and gestational age at birth. Model performances were assessed usingR2, mean absolute error (MAE), and mean absolute percentage error (MAPE). The multimodal models significantly outperformed those relying only on fetometric or clinical-sociodemographic data, with the random forest achieving the best performance for birth weightR2: 0.8991; MAE: 255.08 g; MAPE: 8.46%, birth lengthR2: 0.8679; MAE: 7.21 cm; MAPE: 2.73%, and gestational age at birthR2: 0.8886; MAE: 1.34 d; MAPE: 2.76%. Feature relevance analysis revealed that variables such as maternal height, maternal weight, placenta location, and alcohol consumption played substantial roles in prediction accuracy, alongside classic fetometric measurements such as head circumference. These findings highlight the multifactorial nature of fetal growth and demonstrate that integrating clinical and sociodemographic information enhances the performance of fetal growth prediction models, ultimately supporting improved perinatal care.
25 Apr 2026
Read appraisal →BMC pregnancy and childbirth
Comparative effects of rotational effleurage and connective tissue massage on labor pain, duration, and perineal outcomes in pregnant women: a randomized clinical trial
BACKGROUND: Childbirth is a unique and significant experience in every woman's life. A negative childbirth experience, often due to difficult labor, can adversely affect a mother's feelings toward her baby and their subsequent relationship. Massage, a non-pharmacological pain relief method involving coordinated manipulation of soft tissues by hand, aims to alleviate pain and enhance comfort. This ancient technique is widely used during labor and has demonstrated effectiveness in reducing both the intensity and duration of labor pain. This study aimed to compare the effects of two massage methods-rotational effleurage massage and connective tissue massage (CTM)-on pain intensity and labor outcomes. The study subjects in the two intervention groups received effleurage massage and connective tissue massage, but the control group did not receive any intervention and only routine labor care was provided to them. METHODS: This quasi-experimental, multicenter study was conducted on 90 pregnant women (gestational age 38-40 weeks) admitted in labor at three hospitals. Participants were selected through convenience sampling and randomly allocated into three groups of 30 using permuted block randomization within each center. Although random allocation was performed, due to the multicenter design and non-probability sampling, the study is more accurately classified as quasi-experimental. Written informed consent was obtained from all participants. Data collection tools included a demographic and obstetric questionnaire, the McGill Childbirth Satisfaction Questionnaire, a visual analogue scale for pain, and a labor evaluation checklist. DATA: Statistical analyses were performed using SPSS software version 22 (IBM Corp., Armonk, NY, USA). In this randomized clinical trial, 90 primiparous women were randomly assigned to three groups: effleurage massage, Connective tissue massage, and control. The interventions were performed during the active phase of labor (4-10 cm cervical dilation). Pain intensity was measured using the Visual Analogue Scale at different dilation stages: 3-4 cm, 5-6 cm, 7-8 cm, and 9-10 cm). RESULTS: Pain intensity significantly decreased in both intervention groups compared to the control group at all stages of the active phase of labor (p < 0.001). At 7-8 cm dilation, the mean pain scores were 6.13 ± 0.94 in the effleurage group, 6.23 ± 0.77 in the connective tissue massage group, and 7.87 ± 0.86 in the control group (p < 0.001). Effleurage massage demonstrated greater efficacy than connective tissue massage in reducing pain during the later stages of active labor (p < 0.05). CONCLUSION: Effleurage massage was more effective than connective tissue massage in reducing pain intensity during active labor. Integrating effleurage into maternity care as a non-pharmacological method may improve maternal comfort and support positive birth experiences.
20 Apr 2026
Read appraisal →PloS one
Impact of prophylactic oral azithromycin during labor on Azithromycin Resistance (AMR) in nasal Staphylococcus aureus and Streptococcus pneumoniae in women and infants in the multi-country Azithromycin Prevention in Labor Use Study (A-PLUS)
BACKGROUND: Prophylactic oral azithromycin vs. placebo reduced maternal, but not neonatal, mortality/sepsis in the A-PLUS Randomized Trial. While prophylactic intrapartum azithromycin reduces maternal mortality/sepsis, it may promote antimicrobial resistance (AMR) in commensal bacteria,. METHODS: Randomly selected women and their infants participating in A-PLUS were enrolled in a longitudinal cross-sectional sub-study to assess the presence of azithromycin resistance in selected bacteria in nasal cultures. Staphylococcus aureus and Streptococcus pneumoniae were cultured on selective agar, then azithromycin-containing agar to select for azithromycin resistant bacteria, identified biochemically. Azithromycin susceptibility was assessed by E-test. Nasal cultures were collected from women and infants between August 11, 2021 and September 18, 2023 during labor/day 1, day 7, 6 weeks, and 3, 6 and 12 months after delivery. RESULTS: The study enrolled 911 women and 915 liveborn infants at 8 sites in 7 countries. Azithromycin resistance in S aureus was higher and azithromycin susceptibility was lower in women receiving azithromycin compared with those receiving placebo on day 7 (P < 0.001), 6 weeks (P < 0.001) and 3 months (P = 0.009) after delivery. Azithromycin resistance in S aureus was also higher and azithromycin susceptibility was lower 6 weeks after delivery (P < 0.001) in infants born to women receiving azithromycin, Azithromycin resistance in S. pneumoniae was too sparse to interpret. CONCLUSIONS: There was an increase in prevalence of azithromycin resistance (or reduction in azithromycin susceptibility) in commensal nasal S. aureus between day 7, 6 weeks and 3 months in women exposed to azithromycin vs. placebo and only at 6 weeks in infants exposed to azithromycin vs. placebo. These differences between the azithromycin and placebo groups were no longer detected at 6 and 12 months post-partum in the women and after 6 weeks through 12 months in the infants.
20 Apr 2026
Read appraisal →Global health action
Lifestyle interventions to prevent gestational and type 2 diabetes among migrant women from low- and middle-income countries: a systematic review.
Migrant women from low- and middle-income countries (LMICs) living in high-income settings experience disproportionately high risk of gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM). This review aimed to identify and synthesise culturally adapted lifestyle interventions for preventing or managing GDM and T2DM among migrant women from LMICs, focusing on intervention components, cultural adaptation strategies, and behavioural and metabolic outcomes. Five databases (PubMed, Embase, Scopus, CINAHL, Cochrane Central) were searched using Preferred Reporting Items for Systematic reviews and Meta-Analysis 2020 guidelines. Eligible studies included experimental designs involving lifestyle interventions delivered to migrant women from LMICs in high-income countries, reporting outcomes related to GDM or T2DM targeting behaviour change. Data were synthesised narratively; study quality was appraised using RoB2 for RCTs and a structured narrative approach for non-randomised designs. Certainty of evidence was evaluated using GRADE. Eight studies met the inclusion criteria. Sample sizes ranged from 28 to 641 participants. Intervention duration varied from 6 weeks to 12 months. Most interventions incorporated atleast one culturally tailored component, such as bilingual delivery, culturally adapted dietary education, or community-based engagement. Improvements were reported across dietary behaviours, physical activity, glycaemic measures, or diabetes-related knowledge; however, effect sizes were modest and inconsistent. Interventions combining dietary modification, physical activity, and culturally adapted delivery demonstrated greater improvements than exercise-only or digital-only programmes. Overall certainty of evidence ranged from low to moderate. Culturally adapted, multi-component lifestyle interventions show promise for improving behavioural and metabolic outcomes among migrant women from LMICs; however, the evidence base remains limited. Main findings: Culturally adapted, multi-component lifestyle interventions show modest but inconsistent improvements in behavioural and metabolic outcomes among migrant women from low- and middle-income countries with overall low-to-moderate certainty of evidence.Added knowledge: This review highlights cultural adaptation as a key feature of intervention effectiveness and identifies important evidence gaps, including limited high-quality studies and challenges in comparing heterogeneous interventions.Global health impact for policy and action: Policies should prioritise scalable, culturally responsive interventions – such as bilingual and community-based approaches – to reduce diabetes disparities and improve maternal health outcomes in migrant populations.
19 Apr 2026
Read appraisal →PloS one
Uptake and determinants of immediate and extended postpartum long-acting reversible contraceptive use in Eastern and Western Africa: A systematic review and meta-analysis
BACKGROUND: Reducing unintended pregnancies and improving maternal/child health relies heavily on postpartum family planning (PPFP). Despite their high effectiveness, the use of long-acting reversible contraceptives (LARC), such as intrauterine contraceptive device (IUCD) and implants, is inconsistent in Africa after childbirth. This systematic review and meta-analysis aimed to assess the prevalence and determinants of immediate and extended postpartum use of long-acting reversible contraceptives in Eastern and Western Africa. METHODS: We searched PubMed, the Cochrane Library, Hinari, and gray literature sources (Google Scholar) for studies published between January 1, 2015, and December 12, 2025. Eligible studies reported LARC uptake within 12 months of postpartum. Heterogeneity was assessed using the I² statistic, publication bias using Egger's test, and study quality using the JBI 2020 checklist. Data were analyzed using Stata version 17 and R version 4.5. RESULTS: Sixty-eight studies were included, most of which were from Eastern Africa. The pooled prevalence was 21.7% for immediate postpartum LARC (IPP-LARC) and 19.5% for extended postpartum LARC (EPP-LARC). Uptake was significantly associated with counseling during maternal and child health visits, partner involvement, prior family planning use, and good knowledge. Age ≥ 35 years and higher education level also favored immediate postpartum IUD use. CONCLUSION: The uptake of postpartum LARCs remains low in Eastern and Western Africa. Strengthening FP counseling during MCH services, encouraging partner involvement, and improving knowledge are critical strategies to increase coverage and reduce unmet needs. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews (ID: CRD420250577642).
19 Apr 2026
Read appraisal →PloS one
Operationalization of Severe Maternal Morbidity surveillance in administrative databases of the Brazilian public and private health systems: Brazil 2015-2022
The study of severe maternal morbidity (SMM) is an important strategy for improving the quality of obstetric care. The objective of this study is to assess SMM cases recorded in the Hospital Information System of the Unified Health System (SIH/SUS), which contains public funded hospitalizations, and in the database of the National Supplementary Health Agency (ANS), which contains hospitalizations paid for by health plans. This is a cross-sectional study using obstetric hospitalizations of women aged 10-49 years from both databases in the period 2015-2022. We assessed SMM cases using the World Health Organization's criteria for potentially life-threatening conditions (PLTC). Of the 26 PLTC criteria, 22 were operationalized through diagnoses during hospitalization, using International Classification of Diseases-10 codes, or medical procedures, using specific codes of each database. We estimated the frequency and odds ratio of death for each isolated criterion, for grouped criteria and for the total number of SMM cases, as well as the frequency of deaths according to the number of SMM criteria. We identified 18,807,757 obstetric hospitalizations in the SIH/SUS and 3,776,986 in the ANS database. The estimated proportion of SMM was 8.51% and 7.30% in SIH/SUS and ANS, respectively. Most cases presented only one criterion. Differences were observed among sectors, with a higher frequency of procedure-based criteria in the ANS database, compatible with the greater availability of resources in private services. The proportion of deaths increased with the increase in the number of criteria, and more severe criteria presented a higher odds ratio of death. The results indicate that it is possible to estimate the number of SMM cases in the country, both in public and private hospitalizations. Continued investment in the quality of recording in both databases are necessary so that the estimates can truly reflect the maternal morbidity of Brazilian women.
18 Apr 2026
Read appraisal →Medicine
Efficacy of floating needles in the treatment of postpartum urinary incontinence and pain: A systematic review and meta-analysis
BACKGROUND: Postpartum pain and urinary incontinence (UI) are the most common postpartum sequelae, which can lead to postpartum anxiety and depression when severe, and seriously affect the quality of life of postpartum mothers. Floating needle (FN) is one of the Chinese medical treatments of the latest in recent years, and studies have shown that FN for postpartum pain and stress urinary incontinence has a positive effect; this study aimed to comprehensively and critically evaluate the available evidence on the effectiveness of FN in managing postpartum pain and UI, and provide the first evidence-based medical evidence for FN intervention for postpartum sequela. METHODS: Computerized retrieval of Chinese databases (CNKI, Wanfang, VIP, and CBM) and English databases (PubMed, Embase, Web of Science, and Cochrane Library) for randomized controlled trials on FN therapy for postpartum pain and UI was conducted up to December 20, 2023. Search terms included "floating needle," "urinary incontinence," and "labor pain." Data extraction and quality assessment were performed on eligible studies. Meta-analysis was conducted using RevMan 5.4, with mean differences (MDs) for continuous outcomes and risk ratios for dichotomous endpoints. RESULTS: A total of 1194 women were included in 8 articles in both Chinese and English, all of which were conducted in China; 6 of the articles were included in the meta-analysis. The FN is more effective in treating postpartum incontinence and pain than the control group (risk ratio = 1.33, 95% confidence interval [CI] = 1.18-1.5, P < .001), and significantly reduced the International Consultation on Incontinence Questionnaire-Short Form score (MD = 1.56, 95% CI = 0.78-2.35, P < .001); FN therapy can significantly reduce the amount of urine leakage in postpartum patients (MD = 1.79, 95% CI = 1.09-2.49, P < .001). CONCLUSION: Our results suggest that FN therapy could be encouraged as one of the routine treatments for postpartum sequelae.
18 Apr 2026
Read appraisal →Sleep
Fetal sleep: a cross-species review of physiology, measurement, and classification
STUDY OBJECTIVES: Fetal sleep is a vital yet underexplored aspect of prenatal neurodevelopment. Its cyclic organization reflects the maturation of central neural circuits, and disturbances in these patterns may offer some of the earliest detectable signs of neurological compromise. This is the first review to integrate more than seven decades of research into a unified, cross-species synthesis of fetal sleep. We examine: (1) Physiology and Ontogeny-comparing human fetuses with animal models; and (2) Methodological Evolution-transitioning from invasive neurophysiology to non-invasive monitoring and deep learning frameworks. METHODS: A structured narrative synthesis was guided by a systematic literature search across four databases (PubMed, Scopus, IEEE Xplore, and Google Scholar). From 2925 identified records, 169 studies involving fetal sleep-related physiology, sleep-state classification, or signal-based monitoring were included in this review. RESULTS: Across the 169 studies, fetal sleep states become clearly observable as the brain matures. In fetal sheep and baboons, organized cycling between active and quiet sleep emerges at approximately 80%-90% gestation. In humans, this differentiation occurs later, around 95% gestation, with full maturation reached near term. Despite extensive animal research, no unified, clinically validated framework exists for defining fetal sleep states, limiting translation into routine obstetric practice. CONCLUSIONS: By integrating evidence across species, methodologies, and clinical contexts, this review provides the scientific foundation for developing objective, multimodal, and non-invasive fetal sleep monitoring technologies-tools that may ultimately support earlier detection of neurological compromise and guide timely prenatal intervention.
17 Apr 2026
Read appraisal →Journal of global health
The impact of disasters on maternal mental health: a systematic review
BACKGROUND: The vulnerability of maternal mental health is increasing with the frequent increase in natural and man-made disasters, yet evidence remains fragmented. We aimed to synthesise quantitative evidence on the impact of disaster exposure on maternal mental health and related pregnancy outcomes. METHODS: We systematically searched 12 electronic databases, nine sub-databases, and additional web sources for the studies published between 1995 and 2025. We included studies that assessed the impact of disaster exposure during pregnancy and provided quantitative outcomes for depression, anxiety, stress, posttraumatic stress disorder (PTSD), or adverse pregnancy outcomes. RESULTS: Of 18 604 studies, 24 studies met the inclusion criteria. Natural disasters were the highest group (n = 16), including earthquakes (n = 8), floods/cyclone/hurricane (n = 7), and wildfire (n = 1), followed by man-made disaster (n = 7), including conflict/war/terrorism (n = 5), nuclear disaster (n = 1), plane crash (n = 1), and war (n = 1), and one hybrid disaster. Disaster showed a consistent increase in the risk of depression, anxiety, stress, and PTSD among pregnant women, with effects persisting up to six years post-disaster event. Across studies, disaster exposure increased maternal mental health problems by approximately 30% to over 200%, and PTSD odds increased seven to 10-fold among highly exposed pregnant women. Three studies reported that both depression and PTSD during pregnancy were associated with adverse pregnancy or early child outcomes, suggesting potential intergenerational effects. CONCLUSIONS: Disasters exert enduring and profound impacts on maternal mental health, with consequences cascading across both mother and child. Urgent, cost-effective and disaster-informed policies are needed to mitigate such long-term impacts. REGISTRATION: PROSPERO: CRD42023445559.
17 Apr 2026
Read appraisal →African journal of reproductive health
Mapping research fronts of reproductive medicine using the NHANES database: A bibliometric and thematic analysis
Reproductive health, infertility, and perinatal diseases significantly challenge human health development and continuity, requiring multidisciplinary approaches for enhanced academic understanding and practical solutions. This study used bibliometric analysis to examine related articles in the web of science (WoS) database, employing tools including bibliometrix and VOSviewer for systematic literature analysis. To capture the broader context of high-impact research, we first analyzed 1,026 highly-cited and hot papers in reproductive medicine, which revealed evolving thematic trends and global collaboration patterns. Then we examined 232 literatures using NHANES datasets for reproductive health research to identify research gaps and opportunities for further research in this field. The analysis revealed key trends, areas of concentration, and potential knowledge gaps in the literature, while the thematic analysis of reproductive health studies utilizing the NHANES database further underscored the wealth of data amenable to multidisciplinary investigation. Future research directions to explore new dimensions of reproductive health, improving health policies and clinical practices in this field using NHANES database are also suggested. The study concludes that multidisciplinary research using comprehensive datasets like NHANES is crucial for advancing understanding of reproductive health, infertility, and perinatal outcomes. La santé reproductive, l'infertilité et les maladies périnatales constituent un défi majeur pour le développement et la continuité de la santé humaine, nécessitant des approches multidisciplinaires afin d'améliorer la compréhension académique et de proposer des solutions pratiques. Cette étude a utilisé une analyse bibliométrique pour examiner les articles pertinents dans la base de données WoS, en employant des outils tels que Bibliometrix et VOSviewer pour une analyse systématique de la littérature. Afin de saisir le contexte plus large de la recherche à fort impact, nous avons d'abord analysé 1 026 articles hautement cités et à tendance chaude en médecine reproductive, ce qui a révélé les tendances thématiques évolutives et les modèles de collaboration internationale. Nous avons ensuite examiné 232 publications utilisant les jeux de données NHANES pour la recherche sur la santé reproductive, afin d'identifier les lacunes de recherche et les opportunités pour de futures études dans ce domaine. L'analyse a mis en évidence les tendances clés, les domaines de concentration et les lacunes de connaissances potentielles dans la littérature, tandis que l'analyse thématique des études sur la santé reproductive utilisant les jeux de données NHANES a en outre souligné la richesse des données susceptibles d'être étudiées de manière multidisciplinaire. Les orientations futures de la recherche visant à explorer de nouvelles dimensions de la santé reproductive, à améliorer les politiques sanitaires et les pratiques cliniques dans ce domaine à l'aide des jeux de données NHANES sont également proposées. L'étude conclut que la recherche multidisciplinaire utilisant des jeux de données complets tels que NHANES est cruciale pour faire progresser la compréhension de la santé reproductive, de l'infertilité et des issues périnatales.
17 Apr 2026
Read appraisal →Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
SERS-based deep learning approach for early detection of gestational diabetes mellitus
Early and precise diagnosis of gestational diabetes mellitus (GDM) is crucial for improving maternal and neonatal outcomes and reducing the risk of adverse pregnancy events. However, current clinical screening methods for GDM still exhibit limitations in detection speed, sensitivity and convenience, making it difficult to meet the clinical demand for rapid early-pregnancy screening. To address this, we propose a novel strategy for early GDM diagnosis based on surface-enhanced Raman spectroscopy (SERS) combined with deep learning, aiming to achieve rapid and accurate early screening. Characteristic SERS spectra of serum were obtained using a substrate based on silver nanoparticles (Ag NPs). A fused PCA-CNN model integrating principal component analysis (PCA) for dimensionality reduction and a one-dimensional convolutional neural network (1D-CNN) for feature learning was developed. The PCA-CNN model effectively extracts potential biomarker features from serum SERS spectra, achieving a diagnostic accuracy of 93.7%, with sensitivity and specificity of 0.95 and 0.93, respectively. Moreover, the entire detection process can be completed within 30 min, requires about 2.5 μL of serum per sample, and involves minimal preprocessing, highlighting both efficiency and practicality. This study provides a novel method for early GDM screening that combines high diagnostic performance with clinical applicability, offering promising technical support for early intervention and clinical management of GDM.
16 Apr 2026
Read appraisal →African journal of reproductive health
Effects of Simulation-Based Mastery Learning versus Deliberate Practice on midwifery students' knowledge, skills and self confidence in managing the third stage of labour: A quasi-experimental study
Achieving maternal health care coverage by 2030 requires strengthening the midwifery workforce. To ensure accessible, culturally appropriate, and high-quality care, midwives must receive education aligned with global standards. This study aimed to evaluate the effect of a 20 hours Simulation-Based Mastery Learning (SBML) combined with Deliberate Practice (DP) and the Objective Structured Clinical Examination (OSCE) on midwifery students' knowledge, skills, and self-confidence in managing the third stage of labor. Sixty midwifery students were randomly allocated to experimental (n = 30) and control (n = 30) groups. Following the intervention, all students met or surpassed the minimum passing standard (MPS), achieving at least 90% in skills (Z=-4.791; p<.001; r~0.87), 80% in knowledge (Z=-4.814; p<.001, r~0.87 ), and an increased score in self-confidence (Z=-4.792; p<.001; r~0.87 ). These improvements were maintained after the clinical experience. The performance of students trained through the traditional approach was significantly lower than that of those trained with SBML, and none of them achieved the MPS. This study highlights the need to structure nursing and midwifery training programs according to the Theory-SBML-Clinical placement model to strengthen students' competencies. La réalisation de la couverture universelle des soins de santé maternelle d’ici 2030 passe par un renforcement substantiel de la profession de sage-femme. Pour assurer des soins accessibles, culturellement adaptés et de qualité optimale, il est essentiel que les sages-femmes bénéficient d’une formation conforme aux normes internationales. Cette étude avait pour objectif d’évaluer l’impact de 20 heures d’apprentissage par simulation fondé sur la pédagogie de la maîtrise, la pratique délibérée, et l’Examen Clinique Objectif Structuré (ECOS) sur les connaissances, les compétences et la confiance en soi des étudiantes sages-femmes dans la prise en charge de la troisième phase de l’accouchement. Un total de 60 étudiantes sages-femmes ont été réparties de façon aléatoire en un groupe expérimental (n = 30) et un groupe témoin (n = 30). À la suite de l’intervention, toutes les étudiantes ont atteint ou dépassé la norme minimale de réussite (MPS), obtenant au moins 90 % en compétences (Z=-4.791; p<.001 ; r~0.87), 80% en connaissances (Z=-4.814; p<.001 ; r~0.87), ainsi qu’une amélioration de leur score de confiance en soi (Z=-4.792; p<.001 ; r~0.87). Ces progrès ont été conservés après l’expérience clinique. Les performances des étudiantes formées selon l’approche traditionnelle étaient significativement inférieures, et aucune d’entre elles n’a atteint le Seuil Minimal de Réussite (SMR). L’apprentissage par maîtrise, la pratique délibérée et l’ECOS apparaissent comme des éléments essentiels au développement d’un programme de formation par simulation de haute qualité, favorisant un transfert efficace des acquis vers la pratique clinique.
15 Apr 2026
Read appraisal →PloS one
Virologic suppression among HIV-positive pregnant and lactating women receiving antiretroviral therapy in Africa: A systematic review and meta-analysis
BACKGROUND: The elimination of mother-to-child transmission of human immunodeficiency virus (HIV) is a key global public health priority. In Africa, virologic failure among people living with HIV continues to pose a significant public health challenge, affecting both individual well-being and community health. Maintaining viral load suppression is crucial to prevent vertical transmission of HIV and to minimize maternal morbidity and mortality. To stop the vertical transmission of HIV and lower the risk of maternal morbidity and mortality, it is important to achieve viral load suppression. Although many African countries have adopted the global 95-95-95 targets, comprehensive data on virologic suppression among pregnant and lactating mothers across the continent remains limited. The objective of this systematic review and meta-analysis was to determine the pooled estimate of virologic suppression and to examine the factors associated with it among HIV-positive pregnant and lactating women on antiretroviral therapy in Africa. METHODS: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD420251186121). We carried out a thorough systematic review by examining PubMed, ScienceDirect, Hinari, and Google Scholar for relevant studies. Data from the studies were retrieved using an Excel sheet and analyzed with STATA version 17. The Joanna Briggs Institute appraisal tool was used to evaluate the methodological quality of studies. A random-effects model with restricted maximum likelihood (REML) was applied to determine the pooled prevalence of virologic suppression (viral load threshold ≤1000 copies/ml) among pregnant and lactating mothers in Africa. A funnel plot and the Egger's test were used to investigate publication bias. Statistical heterogeneity was assessed using the I2 statistic and Cochrane's Q test. RESULTS: A total of 55 eligible studies, comprising 304,883 participants, were included in the quantitative meta-analysis. Accordingly, the overall prevalence of virologic suppression among HIV-positive pregnant and breastfeeding women in Africa was 80.86% (95% CI: 77.63%, 84.09%, I2 = 99.84%). In contrast, the pooled estimate for achieving an undetectable viral load was substantially lower, at 60.92% (95% CI: 52.46%, 69.39%; I2 = 99.91%). Virologic suppression was significantly associated with women's age (15-24 years) (AOR = 0.49; 95% CI: 0.32-0.77), disclosure of HIV status to a partner (AOR = 1.66; 95% CI: 1.31-2.11), first-line antiretroviral therapy regimen (AOR = 6.53; 95% CI: 1.93-22.06), and good antiretroviral drug adherence (AOR = 3.61; 95% CI: 1.18-11.02). In addition, other socio-demographic variables, higher educational level, being married/cohabitant, urban residency, healthcare utilization (time of ANC booking, time of ART initiation, duration of ART), fear of stigma, distance to health facility, shortage of health professionals, ART drug stock-out, and lack of HIV care commodities were significantly associated with virologic suppression among HIV-positive pregnant and lactating women in Africa. CONCLUSION: The pooled estimate of virologic suppression among HIV-positive pregnant and breastfeeding women in Africa was approximately 81%, below the global target of 95% virological suppression. This emphasizes the necessity of targeted strategies for younger HIV-positive women, disclosing HIV status, initiating first-line antiretroviral regimens, and promoting antiretroviral treatment adherence. Upgrading health care systems to enable regular viral load monitoring, as well as addressing socio-demographic and antiretroviral therapy-related variables, are vital steps towards attaining and sustaining VS in these groups of population, ultimately assisting in achieving elimination of MTCT of HIV.
14 Apr 2026
Read appraisal →Australian journal of primary health
National and international guidelines for preconception care and comparison with Australian guidelines: a systematic review
BACKGROUND: Guidelines for preconception care are resources that are systematically arranged based on evidence and local contexts to enhance the delivery of high-quality and consistent healthcare. The Royal Australian College of General Practitioners Guidelines (RACGP) for preventive activities in general practice (the Red Book) contains specific components of preconception care items, yet this guideline primarily focuses on general preventive healthcare and may not include a comprehensive list of preconception items based on more recent evidence. This review aimed to compare the recent RACGP guidelines (the 2024 Red Book) with national and international guidelines for preconception care. METHODS: Electronic databases, including PubMed, Embase, Web of Science, CINAHL, and Scopus, were systematically searched following Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. We also searched clinical guideline registries on professional organisations' websites. Searches were conducted from May to June 2024 and in July 2025. RESULTS: We identified seven other national and international guidelines that recommended what should be done as part of preconception health in clinical practice. Preconception care elements that were not included in the current RACGP guidelines that have evidence of effectiveness were the inclusion of men in preconception care, screening for intimate partners and domestic violence, screening for chlamydia and gonorrhoea infections, and screening for female genital mutilation as part of preconception care. CONCLUSIONS: This review identified four preconception care elements that may potentially improve the implementation of preconception care in Australian practice. This work informs the next steps towards developing a comprehensive preconception medical record tool for use in general practice.
12 Apr 2026
Read appraisal →Heart (British Cardiac Society)
Subclinical atherosclerosis in women after pre-eclampsia: a systematic review and meta-analysis
BACKGROUND: Women with pre-eclampsia are at increased risk of later-life cardiovascular disease (CVD). Despite suggestions that women affected by pre-eclampsia should undergo routine CVD screening, uniform recommendations are lacking. Subclinical atherosclerosis provides a window of opportunity to identify and treat those at risk of CVD. Coronary artery calcium scoring (CAC), carotid intima-media thickness (CIMT) and ankle brachial index (ABI) are effective methods of detecting subclinical atherosclerosis. This systematic review sought to explore associations between timing of measurement and presence of subclinical atherosclerosis in women with a history of pre-eclampsia. METHODS: We searched the MEDLINE, EMBASE and CINAHL databases for all studies which reported subclinical atherosclerosis in women with a history of pre-eclampsia. Common and random effects models were used to examine the associations between pre-eclampsia and subclinical atherosclerosis. RESULTS: 35 case-control studies comprising 20 235 women were included in the final analysis. 3376 had a history of pre-eclampsia. Among the 26 studies assessing CIMT, pre-eclampsia was associated with increased CIMT (standardised mean difference 0.63 (95% CI 0.32, 0.93)). This difference was present during pregnancy (0.65 (95% CI 0.33, 0.98)) and persisted for 12 months post partum (0.84 (95% CI 0.20, 1.47)) and beyond (0.50 (95% CI 0.01, 0.99)). Pooled analysis of the eight CAC studies also demonstrated that the odds of having subclinical atherosclerosis were 1.57 (95% CI 1.39, 1.77) times higher in women with a history of pre-eclampsia. CONCLUSIONS: Among women with a history of pre-eclampsia, subclinical atherosclerosis can be seen during pregnancy and persists long term. Our review supports the importance of early follow-up in patients who have had pre-eclampsia.
12 Apr 2026
Read appraisal →PloS one
Risk factors for spontaneous abortion following hepatitis E vaccination during and shortly before pregnancy: Further analysis from a cluster-randomized trial
BACKGROUND: A recent randomized trial of Hepatitis E Vaccine (HEV239) found an elevated risk of spontaneous abortion (SAB) in women given HEV239 during or within ninety days before pregnancy. Here we present additional analyses to better understand this risk. METHODS: We investigated whether maternal risk profiles of SAB or gestational age at SAB differed between women receiving HEV239 versus control Hepatitis B vaccine (HBV). We also assessed whether HEV239-vaccinated women who experienced SABs had distinct short-term adverse reactions compared to HEV239-vaccinated women who had live births, exploring potential inflammatory mechanisms. Finally, we assessed maternal exposure to HEV239 in narrowly defined pre-last menstrual period (LMP) windows to more precisely demarcate pre-LMP at which HEV-239 vaccination was associated with an elevated risk of SAB. Chi-square tests and Mann-Whitney U tests were performed for bivariate comparisons. Poisson models were used for multivariable analyses. FINDINGS: Baseline maternal risk factors for SAB (age, body mass index, parity, and histories of SAB, hypertension, or diabetes) were similar between the SABs in HEV239 and HBV groups. Median gestational age at SAB was comparable (10.5 weeks [IQR 10-13] for HEV239 vs. 11 weeks [IQR 9-12.2] for HBV, p = 0.783). No increased short-term adverse events (pain: 9% vs. 9%; fever: 2% vs. 1%) were observed among HEV239 recipients who experienced SABs compared to those who did not. An elevated risk of SAB was observed in HEV239 recipients vaccinated 31-60 days pre-LMP (Relative Risk 4.3 [95% CI 1.3-19.3], p = 0.026). INTERPRETATION: Our analyses did not uncover associations pointing to a biological mechanism underlying the original observation of an increased SAB rate connected to HEV239 vaccination shortly before or during pregnancy. Targeted studies such as placental examinations and genetic testing are needed to investigate potential mechanisms.
11 Apr 2026
Read appraisal →JMIR mHealth and uHealth
Effectiveness of mHealth-Based Nutritional Interventions on Iron Status of Pregnant Women: Systematic Review of Randomized Controlled Trials
BACKGROUND: Anemia is a global health concern. It is disproportionately prevalent among pregnant women in low-resource regions, where iron deficiency is the leading cause. Given the multifactorial nature of anemia, a range of nutritional interventions is recommended. However, effective implementation is often hindered by limited health care access, poor adherence to supplementation, and gaps in nutrition knowledge and counseling. To address these challenges and optimize hemoglobin (Hb) levels among pregnant women, mobile health (mHealth)-based nutritional interventions offer a promising alternative. OBJECTIVE: The aim of the study is to review available evidence on the effectiveness of mHealth-based nutritional interventions on iron status (Hb and/or serum ferritin concentration) among pregnant women. METHODS: Searches were conducted in Embase, CINAHL, Cochrane Library, PubMed, Web of Science, and Scopus, and supplemented by snowballing to identify additional relevant studies from citation lists. The key search strings comprised 4 concepts: "mobile health," "nutritional intervention," "Hb, anemia or iron deficiency anemia," and "pregnant women." Predefined inclusion and exclusion criteria were applied during screening. The methodological quality of included studies was assessed using the Risk of Bias 2 tool. The primary end point was the change in mean Hb concentration or serum ferritin level. Effect sizes (ESs) were calculated as standardized mean differences, including Cohen d and Hedges g. RESULTS: Of the 14,284 studies identified, only 11 randomized controlled trials were included. These studies used various modes of delivery, including mobile phone calls (n=1), SMS text messaging (n=3), and mobile apps (n=4), with some using more than 2 modes (n=3). The effect of mHealth-based nutritional interventions on iron status varied significantly. In total, 4 studies demonstrated a large ES (>0.8), with 3 relying on WhatsApp Messenger as an mHealth delivery mode. Approximately 82% (9/11) of the included studies reported a positive effect (P values ranging from <.001 to .047) of the intervention on Hb level, whereas 2 studies reported no statistically significant association (P=.33 and P=.35, respectively). Notably, interventions with the largest ES achieved clinically significant improvements in Hb concentration, with within- and between-group differences exceeding 1 g/dL. However, including behavioral change theories and nutrition-sensitive components was not consistently associated with larger ESs. Due to high heterogeneity (I2>95%), attributed to variations in mHealth delivery modes, functions, and interactive features across the included studies, meta-analysis could not be performed. CONCLUSIONS: This review demonstrates that mHealth-supported nutritional interventions effectively optimize Hb concentration in pregnant women. While SMS text messaging was less effective in improving Hb concentration, combining it with another mHealth delivery mode, such as phone calls, improved intervention effectiveness. However, the variability in mHealth delivery modes, functions, and interactive features underscores the need for tailored strategies that account for context-specific challenges, digital literacy, and access to technology to enhance effectiveness.
10 Apr 2026
Read appraisal →Archives of gynecology and obstetrics
Misdiagnosis of different types of aneuploidy in preimplantation genetic testing (PGT): a systematic review and meta-analysis
PURPOSE: Recent studies have reported that embryos diagnosed as aneuploid by preimplantation genetic testing (PGT) can still result in successful live births after transfer. This suggests that, in addition to mosaic embryos, fully aneuploid embryos may also carry a risk of diagnostic error, potentially reducing the overall accuracy of PGT. Therefore, thoroughly investigating the risk and characteristics of aneuploidy misdiagnosis is crucial for optimizing PGT strategies and improving clinical outcomes in assisted reproductive technology (ART). METHODS: Relevant studies published from January 2000 to December 2024 were identified through PubMed and Web of Science. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). A diagnostic meta-analysis was conducted using a random-effects model to calculate pooled odds ratios (ORs) with 95% confidence intervals (CIs), combining sensitivity and specificity. Results were visualized using forest plots. RESULTS: A total of 22 studies were included to assess the discordance between trophectoderm (TE) biopsy and inner cell mass (ICM) or whole blastocyst (WB) results. The discordance rate for euploid embryo diagnosis was low (2.6%), whereas it was significantly higher for aneuploid embryos (9.2%). Segmental aneuploidies showed the highest discordance rate (17.4%). In the PGT-A population, misdiagnosis of segmental aneuploid embryos was particularly prominent (OR = 10.04, 95% CI: 7.60-13.27, I2 = 0%, P < 0.001). CONCLUSION: The results indicate that embryos with segmental aneuploidies have a significantly higher risk of misdiagnosis, especially in the PGT-A population. This highlights the need for caution when interpreting trophectoderm (TE) biopsy results involving segmental aneuploidies, to avoid misdiagnosis and the inadvertent discard of potentially viable embryos.
8 Apr 2026
Read appraisal →Medical education online
AI-assisted learning: ChatGPT for anamnesis in women's health education
UNLABELLED: Artificial intelligence (AI) tools such as ChatGPT are rapidly being adopted in medical education, yet evidence regarding their impact on learners' history-taking (anamnesis) skills remains limited. This gap is particularly relevant in women's health education, where high-quality anamnesis is essential for addressing sensitive, context-dependent concerns and for ensuring the safety of two interrelated patients: mother and fetus. METHODS: This study comprised two phases. First, semi-structured virtual interviews were administered to students and faculty to assess their familiarity with ChatGPT and access to digital technologies. Second, an in-person classroom intervention was implemented within the Women's Health discipline, integrating ChatGPT into history-taking instruction. Students' anamnesis performance was evaluated before and after ChatGPT-assisted learning. Additionally, a novel instructional activity was introduced in which ChatGPT generated cases classified as plausible, intermediate, or physiologically impossible, serving as prompts for guided discussion focused on diagnostic pitfalls, critical appraisal, and clinical reasoning. RESULTS: In the virtual phase, faculty (n = 62) and students (n = 115) completed the questionnaires. The classroom intervention involved 40 medical students participating as part of routine Women's Health teaching activities, with faculty oversight to ensure pedagogical alignment and responsible AI use. A pronounced discrepancy emerged between students' familiarity with ChatGPT (99.1%) and lower levels of familiarity among faculty. Anamnesis performance improved significantly after ChatGPT-assisted learning (p < 0.0001). Students reported increased confidence and perceived enhancement of history-taking quality, and all participants viewed ChatGPT as a valuable educational resource. The AI-generated cases effectively stimulated discussion and reinforced clinical reasoning processes. Findings contributed to the development of a practical guideline for the responsible integration of ChatGPT into Women's Health education. CONCLUSIONS: ChatGPT can enhance anamnesis and promote critical reasoning through structured interaction with AI-generated cases. However, its effective and responsible use depends on targeted faculty development to ensure alignment with pedagogical goals, appropriate oversight, and consistent integration into curriculum.
5 Apr 2026
Read appraisal →Journal of psychosomatic obstetrics and gynaecology
The effect of Snyder's hope theory-based psychological intervention on post-traumatic growth in chinese women experiencing perinatal loss: a randomised controlled trial
OBJECTIVE: To evaluate a Snyder's hope theory-based psychological intervention for promoting post-traumatic growth (PTG) in women after perinatal loss. METHODS: This single-blind randomised controlled trial enrolled 140 women (≥20 years) who had experienced perinatal loss. Participants were randomised to an intervention group (n = 70, four weekly hope-based sessions plus routine care) or a control group (n = 70, routine care only). The primary outcome was PTG, with secondary outcomes including grief, hope and post-traumatic stress symptoms. Assessments were conducted at baseline, post intervention and at 1-month follow-up. RESULTS: The intervention group demonstrated significantly greater improvements in PTG than the control group (post intervention: 69.4 ± 10.2 vs 58.3 ± 11.9; follow-up: 71.9 ± 9.6 vs 59.5 ± 11.0; both p < 0.001), with a large effect size (Cohen's d = 1.21). Significant benefits were also observed in grief reduction, hope enhancement and reductions in trauma-related symptoms (all p < 0.001). Regression analysis identified post-intervention hope as a robust predictor of PTG (β = 0.44, p < 0.001). CONCLUSIONS: Snyder's hope theory-based intervention effectively promoted PTG and improved psychological outcomes in women experiencing perinatal loss. This approach represents a promising therapeutic framework for supporting women through the complex process of moving from trauma to growth following perinatal loss.
4 Apr 2026
Read appraisal →BMJ global health
The effects of antenatal interventions on gestational weight gain in low and middle-income countries: a systematic review
BACKGROUND: Gestational weight gain (GWG) during pregnancy is a critical factor that affects maternal and child health outcomes. The considerable burden of inadequate GWG and the rising tide of excessive GWG are overlooked challenges in low and middle-income countries (LMICs). METHODS: This systematic review assessed the impact of antenatal interventions on GWG in LMICs. Randomised controlled trials (RCTs) on antenatal interventions on GWG in LMICs were included. These interventions included educational, behavioural, nutritional supplementation and pharmacological therapies. A systematic literature search was conducted using PubMed, Embase, Web of Science, CINAHL and the Cochrane Library from the start of each database through September 2025. RESULTS: Out of the 33 642 unique articles identified, 70 articles were included in our systematic review, with 59 individual RCTs and 11 cluster RCTs. Nutritional interventions (31 studies) included food and micronutrient supplementations. Micronutrient supplementation such as multiple micronutrient supplementations was found to reduce the risk of severely inadequate or inadequate GWG among pregnant women compared to iron only or iron and folic acid supplementation (Grading of Recommendations Assessment, Development and Evaluation [GRADE]: moderate certainty). Food supplementation showed mixed results, although most trials demonstrated higher mean GWG among undernourished pregnant women and a greater likelihood of achieving Institute of Medicine-recommended ranges (GRADE: moderate certainty). Behavioural (counselling/education) interventions (20 studies) were associated with significant reductions in excessive GWG among pregnant women with overweight or obesity and improved adequacy of GWG (GRADE: moderate certainty). Physical activity (seven studies) was found to reduce the risk of excessive GWG (GRADE: moderate certainty). Combined dietary and physical activity interventions (six studies) were found to reduce the risk of excessive GWG among pregnant women (GRADE: low certainty). CONCLUSIONS: Well-structured antenatal interventions, initiated before 20 weeks of gestation and continuing beyond this period, tailored to local cultural contexts and available resources, can effectively help pregnant women in LMICs in achieving optimal GWG. PROSPERO REGISTRATION NUMBER: CRD42022366354.
4 Apr 2026
Read appraisal →Clin Obstet Gynecol
Artificial Intelligence in Obstetrics: Current Applications, Opportunities, and Clinical Implementation Challenges
Artificial intelligence is transforming obstetric practice through applications in diagnostic imaging, risk prediction, and clinical decision-making. Deep learning algorithms have achieved diagnostic accuracy comparable to that of experienced clinicians. However, gaps persist between algorithmic capability and clinical implementation. Critical challenges include limited external validation and algorithmic bias. This review examines current AI applications in obstetrics across multiple clinical domains: automated fetal biometry, structural anomaly detection, prediction of pregnancy complications, and intrapartum fetal surveillance. It highlights persistent technical, ethical, and implementation barriers. Key recommendations include multicenter validation across diverse populations, explainable AI approaches, and creating strong regulatory frameworks.
1 Mar 2026
Read appraisal →Am J Obstet Gynecol
Can artificial intelligence improve the readability of patient education information in gynecology?
BACKGROUND: The American Medical Association recommends that patient information be written at a sixth-grade level to increase accessibility. However, most existing patient education materials exceed this threshold, posing challenges to patient comprehension. Artificial intelligence, particularly large language models, presents an opportunity to improve the readability of medical information. Despite the growing integration of artificial intelligence in healthcare, few studies have evaluated the effectiveness of large language models in generating or improving readability of existing patient education materials within gynecology. OBJECTIVE: To assess the readability and effectiveness of patient education materials generated by ChatGPT, Gemini, and CoPilot compared to American College of Obstetricians and Gynecologists and UpToDate.com. Additionally, to determine whether these large language models can successfully adjust the reading level to a sixth-grade standard. STUDY DESIGN: This cross-sectional study analyzed American College of Obstetricians and Gynecologists, UpToDate, and large language model-generated content, evaluating large language models for 2 tasks: 1) independent large language model-generated materials and 2) large language model-enhanced versions reducing existing patient information to sixth-grade level. All materials were assessed for basic textual analysis and readability using 8 readability formulas. Two board-certified obstetrician-gynecologists evaluated blinded patient education materials for accuracy, clarity, and comprehension. Analysis of variance was used to compare textual analysis and readability scores, with Tukey post-hoc tests identifying differences for both original and enhanced materials. An alpha threshold of P<.004 was used to account for multiple comparisons. RESULTS: Large language model-generated materials were significantly shorter (mean word count 407.9 vs 1132.0; P<.001) but had a higher proportion of difficult words (36.7% vs 27.4%; P<.001). American College of Obstetricians and Gynecologists and UpToDate materials averaged ninth-grade and 8.6-grade levels, respectively, while artificial intelligence-generated content reached a 10.6-grade level (P = .008). Although CoPilot and Gemini improved readability when prompted, no large language model successfully reached the sixth-grade benchmark, and ChatGPT increased reading difficulty. CONCLUSION: Large language models generated more concise patient education materials but often introduced more complex vocabulary, ultimately failing to meet recommended health literacy standards. Even when explicitly prompted, no large language model achieved the sixth-grade reading level required for optimal patient comprehension. Without proper oversight, artificial intelligence-generated patient education materials may create the illusion of simplicity while reducing true accessibility. Future efforts should focus on integrating health literacy safeguards into artificial intelligence models before clinical implementation.
1 Dec 2025
Read appraisal →Am J Perinatol
Application of Generative AI to Enhance Obstetrics and Gynecology Research
The rapid evolution of large-language models such as ChatGPT, Claude, and Gemini is reshaping the methodological landscape of obstetrics and gynecology (OBGYN) research. This narrative review provides a comprehensive account of generative AI capabilities, key use cases, and recommended safeguards for investigators. First, generative AI expedites hypothesis generation, enabling researchers to interrogate vast corpora and surface plausible, overlooked questions. Second, it streamlines systematic reviews by composing optimized search strings, screening titles and abstracts, and identifying full-text discrepancies. Third, AI assistants can draft reproducible analytic code, perform preliminary descriptive or inferential analyses, and create publication-ready tables and figures. Fourth, the models support scholarly writing by suggesting journal-specific headings, refining prose, harmonizing references, and translating technical content for multidisciplinary audiences. Fifth, they augment peer-review and editorial workflows by delivering evidence-focused critiques. In educational settings, these models can create adaptive curricula and interactive simulations for trainees, fostering digital literacy and evidence-based practice early in professional development among clinicians. Integration into clinical decision-support pipelines is also foreseeable, warranting proactive governance. Notwithstanding these opportunities, responsible use demands vigilant oversight. Large-language models occasionally fabricate citations or misinterpret domain-specific data ("hallucinations"), potentially propagating misinformation. Outputs are highly prompt-dependent, creating a reliance on informed prompt engineering that may disadvantage less technical clinicians. Moreover, uploading protected health information or copyrighted text raises privacy, security, and intellectual property concerns. We outline best-practice recommendations: maintain human verification of all AI-generated content; cross-validate references with primary databases; employ privacy-preserving, on-premises deployments for sensitive data; document prompts for reproducibility; and disclose AI involvement transparently. In summary, generative AI offers a powerful adjunct for OBGYN scientists by accelerating topic formulation, evidence synthesis, data analysis, manuscript preparation, and peer review. When coupled with rigorous oversight and ethical safeguards, these tools can enhance productivity without compromising scientific integrity. Future studies should quantify accuracy, bias, and downstream patient impact. · Generative AI supports various research stages in OBGYN, such as hypothesis generation, systematic review assistance, data analysis, and scientific writing, demonstrating its potential to streamline research workflows and improve research efficiency.. · Generative AI has notable limitations, including the risk of generating inaccurate references ("hallucinations") and the need for careful supervision.. · Effective usage requires skill in prompt engineering, posing a challenge for those without technical expertise.. · Utilizing generative AI in sensitive fields like OBGYN raises privacy, security, and ethical concerns..
1 Dec 2025
Read appraisal →