Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 19 appraisals
JMIR infodemiology
Self-Reported Tianeptine Experiences on Reddit: Natural Language Processing-Assisted Qualitative Study
This study, using natural language processing and manual thematic analysis of Reddit posts, revealed a rapid rise in discussions about tianeptine, with posts frequently reporting dependence, withdrawal, and coingestion with other unregulated substances, highlighting tianeptine as an emerging public health concern.
8 July 2026
Read appraisal →Neurology
Glucagon-like Peptide-1 Receptor Agonists and Risk of Nonarteritic Anterior Ischemic Optic Neuropathy: Systematic Review and Meta-Analysis
BACKGROUND AND OBJECTIVES: Recent observational studies have reported conflicting evidence regarding an association between glucagon-like peptide-1 receptor agonists (GLP-1RAs), particularly semaglutide, and nonarteritic anterior ischemic optic neuropathy (NAION). We aimed to synthesize the pooled evidence assessing the association between GLP-1RA use and NAION risk. METHODS: Embase, Medline, and Cochrane CENTRAL databases were searched from inception to April 5, 2025. Observational studies and randomized controlled trials comparing NAION risk in GLP-1RA users with non-GLP-1RA users were included. Title/abstract and full-text screening were conducted in duplicate by 2 independent reviewers. Discrepancies were resolved through discussion or adjudication by a third reviewer. Risk of bias was assessed using the Risk of Bias In Nonrandomized Studies of Interventions (ROBINS-I) tool, and the certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation framework. Pooled relative risks (RRs) were estimated using Bayesian random-effects models, incorporating half-normal, between-study, and weakly informative priors. The RR with 95% credible interval (CrI) was computed to analyze the development of NAION associated with GLP-1RA exposure. RESULTS: Five studies were included in the primary analysis, encompassing 1,593,554 patients (682,456 semaglutide users and 911,098 non-GLP-1RA users). Semaglutide use was associated with a high probability of increased risk of NAION compared with non-GLP-1RA use (RR: 2.52, 95% CrI [1.56, 4.72], I2: 57.8%, P(RR > 1): 99.9%). This association was particularly pronounced among patients with diabetes (RR: 2.41, 95% CrI [1.57, 4.10], I2: 47.2%, P(RR > 1): 99.9%). The overall incidence of NAION across 5 studies and 7 comparisons, encompassing 1,460,760 patients (semaglutide: 1,108,542; dulaglutide: 326,282; and exenatide: 25,936) and 272 NAION events (semaglutide: 198; dulaglutide: 54; and exenatide: 20) was 85 cases per 100,000 GLP-1RA users (95% CrI [29, 263], I2: 98.8%, P(incidence >0.00001): 100%). The incidence of NAION across 1,108,542 semaglutide users was 118 cases per 100,000 (95% CrI [32, 451], I2: 98.8%, P(incidence >0.00001): 100%). Leave-one-out sensitivity analyses consistently supported these findings. DISCUSSION: Low-to-moderate certainty evidence indicates that semaglutide significantly increases risk of NAION relative to non-GLP-1RAs, particularly among patients with diabetes. These findings warrant further investigation and should inform clinical risk-benefit discussions.
26 May 2026
Read appraisal →European journal of clinical pharmacology
Dysesthesia associated with GLP-1 agonist therapies: data-mining analysis and literature review
PURPOSE: An increasing number of anecdotal reports on social media platforms and medical blogs describe dysesthesia, particularly burning skin sensations, in association with glucagon-like peptide-1 receptor (GLP-1R) agonists. We performed a pharmacovigilance data-mining analysis to characterise cases of dysesthesia related to GLP-1R. METHODS: We conducted a disproportionality analysis using VigiBase data on GLP-1R (Anatomical Therapeutic Chemical classification: ATC code A10BJ) and tirzepatide, focusing on the HLT (High Level Term) "Paraesthesia and dysesthesia", with the Information Component (IC). Additionally, we reviewed all narratives of dysesthesia cases in the French Pharmacovigilance database to extract clinical and pharmacological characteristics. A literature review complemented this analysis. RESULTS: Exenatide was significantly associated with hypoesthesia or oral paraesthesia, semaglutide and tirzepatide with hyperaesthesia, and semaglutide with dysesthesia and burning sensation. Dysesthesia appears to be dose-dependent, occurring more frequently at higher doses and with more potent GLP-1R, whether used for weight management or type 2 diabetes. Discontinuation was often performed, followed by spontaneous favourable outcomes, and cases of rechallenge were observed. Skin burning sensations represent a distinctive form of dysesthesia. CONCLUSION: Pharmacovigilance quantitative and qualitative data strengthens evidence for dysesthesias associated with GLP-1R agonists already observed in clinical trials of semaglutide, tirzepatide, and retatrutide.
25 May 2026
Read appraisal →Expert review of vaccines
Approaches to observational study designs and analytical options to evaluate the safety of multi-dose vaccines: a systematic review
INTRODUCTION: Observational studies require careful considerations when evaluating the safety of multidose vaccines. We reviewed design and analytical approaches in observational studies evaluating the safety of multidose vaccines in the post-licensure phase. METHODS: EMBASE, MEDLINE, Web of Science, and Scopus (2018-2022) were searched for hypothesis-testing studies evaluating the safety of multidose vaccines. Key features from frequently used designs were extracted. RESULTS: Among 123 eligible studies, cohort (46%) and self-controlled case series (SCCS)/self-controlled risk interval (SCRI) (40%) followed by case-control (12%) were the most common designs, and 15% of studies used multiple designs. Among cohort studies evaluating multiple doses, vaccination date (36%) and cohort entry with time-updated exposure status (32%) were frequent approaches used to define time zero. Twenty-eight percent of cohort studies did not report time zero; all but one evaluated COVID-19 vaccine effect on post-delivery and fertility-related outcomes. For SCCS/SCRI, 64% of studies accounted for event-dependent exposures, mainly by including pre-exposure periods (53%) and modified SCCS model (48%), while 20% employed multiple correction strategies. Among studies using multiple designs, 68% reached consistent conclusions. CONCLUSIONS: SCCS/SCRI and cohort designs dominate multidose vaccine safety studies. Clear reporting on time zero in pregnancy and fertility-related cohort studies, and on addressing event-dependent exposures in SCCS/SCRI studies is needed, along with guidance on interpreting results from multiple designs. Observational studies are important for assessing safety of vaccines especially for rare health outcomes that cannot be easily detected in randomized trials. Commonly used approaches include comparing these health outcomes between vaccinated and unvaccinated individuals or between different time points in relation to vaccination timing within individuals. However, both approaches have important design challenges. For example, comparison between vaccinated and unvaccinated individuals requires careful consideration of alignment of the time of starting to observe outcomes with the time when individuals become eligible and vaccination time for both comparison groups (time zero). Within-individual comparison requires that earlier occurrence of health outcomes does not influence whether someone receives later vaccine dose(s). These challenges become more complex to address when vaccines are given in multiple doses.In this review, we assessed how important design and analytical issues are handled and reported in published studies evaluating the safety of multidose vaccines and assessed agreement between different study designs when more than one is used.We found that 28% of studies comparing vaccinated and unvaccinated groups did not clearly report time alignment (time zero) mostly with studies on pregnancy and fertility outcomes. Similarly, about one-third of studies using within-individual comparison did not report checking and addressing the possibility that earlier outcomes could influence future vaccinations. When multiple designs were used, two-thirds of studies reached similar conclusions, although comparisons were mainly qualitative. Future work is needed to guide clear reporting of these issues to improve transparency in design and analysis and when comparing results across different designs.
19 May 2026
Read appraisal →Journal of affective disorders
Adverse events related to buspirone: a real-world pharmacovigilance study using the FAERS database
Buspirone, a widely used anxiolytic, has incompletely characterized adverse effects. This study aimed to comprehensively characterize buspirone's safety profile by a large-scale analysis of real-world data from the Food and Drug Administration Adverse Event Reporting System (FAERS) database, covering Q1 2006 to Q1 2025. We collected 1744 buspirone-related adverse event reports and analyzed them utilizing various signal detection techniques, including proportional reporting ratio (PRR), reporting odds ratio (ROR), multi-item gamma Poisson shrinker (MGPS), and Bayesian confidence propagation neural network (BCPNN). The most common adverse events were categorized into nervous system disorders and psychiatric disorders, with "dizziness" (n = 141), "anxiety" (n = 133), "drug interaction" (n = 86), "serotonin syndrome" (n = 83), and "tremor" (n = 71) being the most frequently reported. Notably, several safety issues linked to suicide exhibited considerable signals. In addition to the adverse events already listed on the package insert, our research identified unanticipated adverse events associated with improper buspirone use, including "drug abuse" (n = 43), "intentional overdose" (n = 30), and "drug level increased" (n = 17). These findings indicated a potential risk of abuse with buspirone exposure during therapeutic use. Moreover, the study detected a relatively rare but noteworthy signal associated with abnormal body weight, such as "obesity" (n = 19), which merits further attention. The median time to onset for adverse events was 10 days (IQR:16). In conclusion, this pharmacovigilance research underscored the safety hazards related to prolonged buspirone usage, confirmed known risks and identified novel safety signals. These findings enriched the awareness of buspirone's safety profile and provided evidence-based guidance in clinical settings.
17 May 2026
Read appraisal →Journal of chemical information and modeling
DWPL-GCNMF: Structure-Aware Dynamic Weighted Pseudo-Label Learning for Adverse Drug Reaction Prediction
Adverse drug reaction (ADR) prediction is typically formulated as drug-ADR association learning on extremely sparse, positive-unlabeled matrices, which limits generalization and makes naive pseudolabel expansion prone to confirmation bias. Here, we propose DWPL-GCNMF, a structure-aware semisupervised framework that combines graph convolutional network (GCN)-based structural embeddings learned from a drug-protein knowledge graph with matrix factorization scoring and introduces a prediction-consistency-driven dynamic weighted pseudolabel learning strategy to expand training pairs while down-weighting unreliable pseudolabels; multiple base models are further fused to improve prediction stability. We evaluate DWPL-GCNMF on a DrugBank-derived benchmark (1,177 drugs × 4,247 ADRs; ∼2.6% observed associations) and an external SIDER benchmark (1,080 drugs × 5,579 ADRs; ∼2.3% observed associations) to assess robustness under different data sets and increased sparsity. DWPL-GCNMF consistently outperforms representative baselines, achieving AUPR/F1 of 0.6656/0.6194 on DrugBank and 0.6106/0.5816 on SIDER, while also improving top-K prioritization (e.g., Recall@15 up to 0.8078 and 0.8146, respectively), indicating that structure-aware representation learning with dynamically weighted pseudolabeling provides a robust approach for prioritizing potential ADRs under severe data sparsity.
2 May 2026
Read appraisal →Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Cardiac adverse events associated with axitinib: A real-world pharmacovigilance study based on the Japanese adverse drug event report database
OBJECTIVE: To evaluate the disproportionality, times to onset, and outcomes of cardiac adverse events (AEs) associated with axitinib, using data from the Japanese Adverse Drug Event Report (JADER) database. METHODS: We analyzed data for the period from April 2004 to December 2024. Those on cardiac AEs were extracted and the disproportionality of axitinib-associated AEs was assessed by calculating reporting odds ratios (RORs). RESULTS: Of the 2,988,681 reports with sex and age information, we identified 4788 reports of AEs associated with axitinib, including 508 cardiac AEs. Signals were detected for 16 cardiac AEs after adjustment for sex and age. Fatal outcomes were reported for five of these events with particularly high rates observed for cardiac failure, myocarditis, and immune-mediated myocarditis. Median times to onset indicated that cardiac AEs associated with axitinib occurred 14 to 420 days after administration. Weibull distributions showed that seven AEs (blood pressure increased, myocardial infarction, acute myocardial infarction, blood pressure systolic increased, oedema peripheral, oedema, and generalised oedema) occurred constantly throughout the exposure period (random failure type), and stress cardiomyopathy and immune-mediated myocarditis developed in a dose-dependent manner (wear-out failure-type). CONCLUSIONS: We focused on cardiac AEs associated with axitinib as post-marketing AEs. Some with fatal outcomes may occur not only early in treatment but also later in the course. Continuous monitoring is essential to ensure timely detection and management of these potentially serious AEs in clinical practice.
28 Apr 2026
Read appraisal →Medicine
Drug-induced neutropenia: A comprehensive pharmacovigilance study of the FAERS database.
Drug-induced neutropenia (DIN) deserves both clinicians' and researchers' attention for the serious clinical consequences. This study aimed to conduct an exploratory analysis of DIN reports in the United States Food and Drug Administration Adverse Event Reporting System database to identify drugs associated with neutropenia. A disproportionality analysis of DIN was conducted using reports submitted to the United States Food and Drug Administration Adverse Event Reporting System from the first quarter of 2004 to the fourth quarter of 2024. Both the reporting odds ratio algorithms and the information component were applied to identify an association between target drugs and DIN events. A total of 223,736 DIN cases were found, and 254 drugs were identified as potentially associated with neutropenia. The top-ranked drug categories were "monoclonal antibodies and antibody-drug conjugates," "other antineoplastic agents," "protein kinase inhibitors," "direct-acting antivirals," "antimetabolites," "alkylating agents," and "immunosuppressants." The top 5 drugs ranked by number of cases were clozapine, lenalidomide, rituximab, palbociclib, and carboplatin. The top 5 drugs ranked by reporting odds ratio signal strength were calcium levofolinate, vinorelbine, gemtuzumab ozogamicin, fludarabine, and daunorubicin. This comprehensive pharmacovigilance study identified drugs potentially associated with neutropenia, which can help clinicians and researchers further understand DIN.
20 Apr 2026
Read appraisal →Medicine
Drug-associated insomnia: A pharmacovigilance study based on FDA adverse event reporting system.
Insomnia has become an increasingly serious public health issue with complex causes, among which medications act as a significant factor. This study aims to systematically detect and evaluate drug adverse event signals associated with insomnia risk using the Food and Drug Administration Adverse Event Reporting System (FAERS) database. The analysis utilized data from the FAERS database covering January 2004 to December 2024. Disproportionality analysis was conducted using 4 algorithms: reporting odds ratio, proportional reporting ratio, information component (IC), and empirical Bayes geometric mean. Potential risk signals were deemed significant only when all 4 algorithms simultaneously met their thresholds. Subgroup analyses were further performed, stratified by age and sex, to assess the robustness of signals across different populations. From 2004 to 2024, there were 179,697 adverse event reports of insomnia in FAERS in which one or more medications were designated as the primary suspect. The top 30 medications with the strongest signal strength were predominantly nervous system medicines (18 types, 60%), followed by respiratory system medicines (3 types, 10%), and genitourinary system and sex hormones (3 types, 10%). The top 3 medications with the highest reporting frequency were mefloquine, viloxazine, and flibanserin. Subgroup analyses revealed distinct drug signal profiles across age groups and genders, with pediatric cases dominated by nervous system and anti-infective agents, adults and the elderly showing additional endocrine or hormonal signals, and sex specific signals such as finasteride in males and flibanserin in females. This pharmacovigilance study identifies insomnia risk signals across multiple drug classes, underscoring the need for clinical vigilance regarding drug-related sleep disturbances. Further prospective research is required to confirm these associations.
20 Apr 2026
Read appraisal →PloS one
Assessing the real-world safety of vutrisiran for transthyretin-mediated amyloidosis with polyneuropathy: Based on WHO-VigiAccess and FAERS databases
BACKGROUND: Vutrisiran is a double-stranded siRNA targeting transthyretin mRNA, primarily for the treatment of transthyretin-mediated amyloidosis (ATTR) with polyneuropathy. Understanding its safety in real-world settings is crucial for achieving optimal treatment outcomes for patients. METHODS: This study assessed the safety of vutrisiran for clinical use by analyzing all adverse drug reaction (ADR) reports in WHO-VigiAccess and U.S. Food and Drug Administration's Adverse Event Reporting System (FAERS) databases with vutrisiran as the primary suspected drug and by using four disproportionality analysis and Bayesian information component. Weibull distribution was also utilized to predict the time of occurrence of ADR. RESULTS: During the research process, WHO-VigiAccess reported 721 adverse reaction reports related to vutrisiran, while FAERS documented 732 ADR reports. The analysis revealed that: this study not only demonstrated known adverse reactions such as injection site reactions, such as redness, pain, or swelling at the injection site; systemic reactions like fatigue and myalgia; pain in extremity; and potential risks associated with reduced vitamin A levels, but also detected potential safety signals related to drug such as night blindness and cardiac pacemaker insertion. Furthermore, it was observed that in both the WHO-VigiAccess and FAERS databases, the highest reporting rates of ADR were found in the category of general disorders and administration site conditions. It also confirms the importance of monitoring the occurrence of adverse reactions within one year after drug treatment. CONCLUSION: The study identified several known ADRs and detected potential positive signals that may be associated with the drug. These research results provide clinicians with more information to consider and monitor adverse reactions in patients with ATTR-related polyneuropathy after treatment with vutrisiran, offering more evidence for its safety in real-world settings.
16 Apr 2026
Read appraisal →Cancer immunology, immunotherapy : CII
Hematological toxicities and thrombosis risk associated with immune checkpoint inhibitors: a pharmacovigilance study from 2014 to 2024
BACKGROUND: Immune checkpoint inhibitors (ICIs) have significantly improved clinical outcomes in a wide range of cancers but may also induce hematological toxicities and thrombosis risk. This study comprehensively evaluated hematological and thrombotic adverse events (AEs) associated with ICIs in real-world settings using the FDA Adverse Event Reporting System (FAERS) database, aiming to characterize their clinical features. METHODS: Data were extracted from the FAERS database (Q1 2014 to Q4 2024) for disproportionality analysis. AEs were classified using the Medical Dictionary for Regulatory Activities (MedDRA). Associations between ICIs and hematological/thrombotic AEs were assessed via the reporting odds ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) methods. Clinical characteristics of affected patients were analyzed, and time-to-onset across ICI regimens was further evaluated. RESULTS: We identified 14,753 ICI-associated hematological toxicities and thrombotic events. Among reports with available sex information, a higher reporting frequency was observed in men (50.90%) than in women (40.11%). The most frequent AEs were anemia (2963 cases, 16.62%), thrombocytopenia (1961, 11.00%), febrile neutropenia (1935, 10.85%), neutropenia (1392, 7.81%), myelosuppression (979, 5.49%), pancytopenia (739, 4.14%), lymphadenopathy (475, 2.66%), disseminated intravascular coagulation (DIC; 468, 2.62%), leukopenia (468, 2.62%), and deep vein thrombosis (DVT; 213, 1.19%). The median time-to-onset for ICI monotherapy-associated AEs was 28 days (IQR 11-79), with 78.22% occurring within 3 months. Notably, DIC and DVT had the highest mortality proportion among the top 10 AEs. CONCLUSION: Hematological and thrombotic AEs associated with ICI therapy show notable reporting frequencies in FAERS. Combination regimens demonstrated stronger reporting signals for certain events. These AEs frequently showed early reporting and notable mortality proportions, highlighting the importance of clinical vigilance. Further studies are needed to confirm these findings.
16 Apr 2026
Read appraisal →Cardiovascular toxicology
A Real-World Disproportionality Analysis of Drug-Induced Heart Failure: Integrating FAERS Database and AHA Statement
Heart failure (HF), the advanced stage of diverse cardiac conditions, poses a significant public health challenge. This study analyzes adverse event (AE) signals associated with HF within the FDA Adverse Event Reporting System (FAERS) database, offering critical insights to guide rational medication use in clinical settings. Adverse event reports (AERs) associated with HF in the FAERS database, spanning from the first quarter of 2004 to the fourth quarter of 2024, were analyzed. The potential HF risk of drugs was assessed using the disproportionality analysis, with findings juxtaposed against the American Heart Association (AHA) drug list. Drug-induced HF cases showed equivalent distribution between male and female, and high rates of rehospitalization and mortality. Prominent hypoglycemic drugs associated with HF included rosiglitazone, pioglitazone, and saxagliptin. Combination therapies, such as metformin/saxagliptin and metformin/rosiglitazone, also demonstrated elevated risks. In the context of pulmonary hypertension, drugs like macitentan, selexipag, and epoprostenol were particularly notable. Analysis against the AHA drug list confirmed stronger signal strength and frequency among Class A drugs, validating our results. Furthermore, drugs not flagged as positively signaling in the AHA registry, such as amiodarone, aliskiren, and testosterone, merit closer scrutiny due to their potential for adverse reactions. Our analysis of the FAERS database has identified medications associated with potential HF risks, providing valuable evidence to inform clinical decision-making and promote the safe use of medications.
13 Apr 2026
Read appraisal →Medicine
Real-world safety profile of anifrolumab: An observational disproportionality analysis of the FAERS database
Anifrolumab is a type I interferon receptor antagonist approved for the treatment of moderate-to-severe systemic lupus erythematosus. While its efficacy has been demonstrated in clinical trials, its long-term safety remains understudied in the real world. This study extracted relevant data from the FDA Adverse Event Reporting System (FAERS) to evaluate the post-marketing safety profile of anifrolumab in real-world clinical practice and to identify potential safety signals. We analyzed 1293 reports involving 3542 adverse events (AEs) from the FAERS database (Q3 2021-Q1 2025) using disproportionality analysis. Reports in which anifrolumab was designated as the "primary suspect" drug were included. Safety signals were identified using the reporting odds ratio and the Bayesian confidence propagation neural network, with a signal defined as positive only if it met both criteria: a lower limit of the reporting odds ratio's 95% confidence interval > 1 and the 95% lower credibility interval for the information component of the Bayesian confidence propagation neural network > 0. Additionally, multivariable logistic regression analyses were performed for key AEs to rule out potential confounding. The study identified 97 positive safety signals associated with anifrolumab. In addition to the labeled AEs, such as infusion-related reactions and infections, several unexpected AEs were also identified, including renal-related, cardiovascular-related, and neurological AEs. Multivariable logistic regression analyses for key AEs showed that concomitant immunosuppressants, comorbidities, and disease severity were not significant independent predictors (all P > .05), supporting the robustness of the identified signals. This pharmacovigilance study provides hypothesis-generating evidence on the post-marketing safety profile of anifrolumab and highlights several potential safety signals that warrant further evaluation. It is crucial to emphasize that these findings are derived from the FAERS, a spontaneous reporting database that cannot establish causality due to inherent limitations, such as underreporting, missing data, and lack of exposure information. Therefore, these results require confirmation in well-designed observational studies and clinical trials. Clinicians should be aware of these potential associations and consider appropriate monitoring.
12 Apr 2026
Read appraisal →BMJ open
Identification of immunomodulators associated with atrial fibrillation reporting to better understand AF immunologic mechanisms: a Vigibase retrospective disproportionality analysis and a literature review
OBJECTIVES: Growing evidence exists about the pivotal role of immune mechanisms in the physiopathology of atrial fibrillation (AF). Drugs that modulate the immune system (immunomodulators) may contribute to the development of AF. We aimed to identify immunomodulators that are associated with AF to better define their safety profile, and elucidating their mechanisms of action could yield novel insights into AF's immune physiopathology. DESIGN: A descriptive and disproportionality analysis of claims data. SETTINGS: World pharmacovigilance database VigiBase until 1 March 2025. PRIMARY AND SECONDARY OUCTOMES: First, we ascertained the association of immunomodulators with AF over-reporting with a disproportionality analysis evaluating the multivariable-adjusted reporting odds ratio (aROR) for AF reporting performed for 141 immunomodulators in VigiBase. Then, a literature review was done to explore the underlying mechanisms of AF through immunomodulator mechanisms. RESULTS: A total of 6 148 556 reports encompassing at least one of the 141 immunomodulators were identified in Vigibase. Our primary analysis revealed 20 immunomodulators associated with AF over-reporting. The three immunomodulators with the greatest signal were: recombinant interleukin-11 with an aROR=20.91 (99.96% CI 12.08 to 36.17), efgartigimod alfa with an aROR=6.75 (99.96% CI 3.96 to 11.52) and recombinant interleukin-2 with an aROR=6.15 (99.96% CI 3.62 to 10.45). A derivative literature review posited a hypothetical immune 'vicious circle' promoting AF, involving T helper cells, macrophages and natural killer cells which could lead to electrophysiologic and histologic atrial remodelling. CONCLUSIONS: Twenty Food and Drug Administration (FDA)-labelled immunomodulators are associated with AF overreporting in Vigibase with a substantial signal on recombinant IL-11. These data contribute substantively to the prevailing understanding of the safety profile of these immunomodulators. Moreover, these findings support a multidirectional interaction between the immune system and AF development and might lead to considering future therapeutic targets. TRIAL REGISTRATION NUMBER: NCT06095791.
9 Apr 2026
Read appraisal →Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Real-world incidence of nausea and vomiting induced by antineoplastic agents: insights and future directions from the Japanese adverse drug event report database
PURPOSE: Antineoplastic treatment commonly leads to nausea and vomiting (NV), which considerably affects the quality of life and adherence to therapy of patients. This study aimed to analyze the incidence of NV induced by antineoplastic agents using the Japanese Adverse Drug Event Report (JADER) database and to explore novel antiemetic therapies for oral antineoplastic agents. METHODS: Data from April 2004 to March 2023 were extracted from the JADER database. The analysis considered guideline-recommended antiemetics and involved the temporal evaluation of cases with NV. The onset patterns of NV were analyzed for each oral antineoplastic agent. The reported odds ratio was used to identify adjunctive medications that showed inverse associations with these symptoms. RESULTS: A large number of NV cases were reported for platinum compounds and irinotecan. Among the oral agents, a notable incidence of NV was induced by antimetabolites and tyrosine kinase inhibitors. A decreasing trend in the use of single-agent antiemetic therapy was observed from 2010. Distinct NV patterns were identified. Silodosin and meropenem emerged as potential adjunct therapies to suppress NV induced by oral agents. CONCLUSION: Although there is a trend toward improvement in NV management with increased adherence to antiemetic therapies, a substantial gap remains between guidelines and actual practice. The need for tailored management strategies based on the onset patterns of NV for specific agents has been emphasized. Investigating the mechanisms underlying the antiemetic effects of adjunctive therapies, such as silodosin and meropenem, may pave the way for new antiemetic options for oral antineoplastic agents.
9 Apr 2026
Read appraisal →Journal of ethnopharmacology
Evaluation of the association of pseudoaldosteronism with licorice-containing herbal medicine using the Japanese adverse drug event report (JADER) database
ETHNOPHARMACOLOGICAL RELEVANCE: Herbal medicine in Japan is known as Kampo preparation, a traditional medicine that combines multiple medicinal herbs and is widely used in medical practice. Pseudoaldosteronism is an issue associated with herbal medicines that contain licorice. However, the relationship between licorice intake and pseudoaldosteronism is not fully understood and is debatable. AIM OF THE STUDY: This study evaluates the association between herbal medicine preparations containing licorice and pseudoaldosteronism using data from the Japanese Adverse Drug Reaction Reporting System (JADER) database. MATERIALS AND METHODS: The JADER database contained 961,171 reports published between April 2004 and December 2024. The association between herbal medicines and pseudoaldosteronism was evaluated using the pharmacovigilance index as the reporting odds ratio (ROR) and logistic regression models. RESULTS: There were 537 cases of pseudoaldosteronism (PT code: 10037113). The reporting ratio of pseudoaldosteronism was higher in the licorice-containing herbal medicines group than in the overall herbal medicines group. The RORs of the top 20 herbal medicines with the highest number of pseudoaldosteronism reports, all of which contained licorice, exceeded one, and a signal was detected. The risk of pseudoaldosteronism increased with increasing licorice intake. According to the receiver operating characteristic (ROC) curve for pseudoaldosteronism (area under the curve (AUC) = 0.71, sensitivity = 0.8493, 1-specificity = 0.5530), the cutoff value was 1.125 g/day. CONCLUSIONS: This study is the first to clarify the association between licorice intake from herbal medicines and pseudoaldosteronism using Japan's spontaneous adverse event-reporting database. These findings will be useful and informative for medical professionals considering treatments with herbal medicines.
6 Apr 2026
Read appraisal →Medicine
Adverse events associated with the use of nivolumab in the middle-aged and older population (>45 years): A pharmacovigilance analysis based on the FAERS database.
The clinical use of nivolumab has significantly improved the prognosis for survival in patients with a wide range of advanced malignancies. Given the increased incidence of tumors, there is a need to gain insight into the true extent of adverse events (AEs) associated with the nivolumab drug in the middle-aged and elderly population. This pharmacovigilance study was based on an analysis of reports from the US Food and Drug Administration's adverse event reporting system for the period January 1, 2014 to December 31, 2024, and compared AEs of the drug nivolumab in the middle-aged and elderly populations using proportional reporting ratio, reporting odds ratio, BCPN, and multi-item gamma Poisson shrinker methods. The analyses showed the presence of AEs in a variety of systems, mainly involving several systems such as endocrine disorders, nervous system disorders, skin and subcutaneous tissue disorders. The immune-related AEs listed in the package insert were validated by us and their clinical significance warrants careful consideration to further guide clinical dosing, adjust therapeutic decision-making, and develop age-adapted dosing algorithms for population pharmacokinetic development in order to minimize potential risks to patients. With the exception of reports of an unspecified nature, a greater proportion of the sample was male (65.7%) than female (32.5%), indicating significant variations. The highest percentage of reports was observed in patients aged between 65 and 85 years and in patients with a body mass index ranging from 50 to 100 kg/m2. The primary indication was non-small cell lung cancer. The top 3 AE signals reported with nivolumab were malignant neoplasm progression, death, and pyrexia, with the majority of AE cases occurring within the first month following nivolumab initiation.
5 Apr 2026
Read appraisal →Medicine
Post-marketing signal detection of fruquintinib-associated adverse events using the FAERS database
Fruquintinib, a targeted therapeutic agent approved in 2018 for the treatment of metastatic colorectal cancer, is gradually being applied in an expanding range of clinical settings. Given the complexities associated with real-world dosing, a comprehensive evaluation of its safety profile is essential for optimizing clinical decision-making. We conducted a retrospective pharmacovigilance study utilizing a spontaneous reporting system. Reports related to Fruquintinib were extracted through a standardized data cleaning process and cross-validated using 3 complementary signal detection algorithms: proportional reporting ratio, Bayesian confidence propagation neural network, and reporting odds ratio (ROR). This approach was employed to systematically assess the drug's safety and identify potential adverse event signals. A total of 92 statistically significant safety signals were identified from 1188 independent cases included in the analysis, corresponding to 1836 adverse event reports. The signal distribution exhibited organ system specificity, with gastrointestinal reactions being the most prevalent category. These reactions primarily manifested as typical drug-related toxicities, including diarrhea and nausea. Other notable complications included neurological, respiratory, dermatological, renal, and cardiovascular events. Important aes not mentioned in the instructions, such as bone marrow suppression (ROR = 11.17), peripheral neuropathy (ROR = 4.24) and dehydration (ROR = 3.98), were also discovered. This study systematically characterizes the post-marketing safety profile of Fruquintinib through a multi-algorithm synergistic analysis, confirming that its safety profile aligns with the clinically expected outcomes based on its mechanism of action. Future research should focus on analyzing drug interaction mechanisms and exploring biomarkers to develop a precise risk-benefit assessment model.
5 Apr 2026
Read appraisal →International journal of medical informatics
Automated extraction of fluoropyrimidine treatment and treatment-related toxicities from clinical notes using natural language processing.
OBJECTIVE: Fluoropyrimidines are widely prescribed for colorectal and breast cancers, but are associated with toxicities such as hand-foot syndrome and cardiotoxicity. Since toxicity documentation is often embedded in clinical notes, we aimed to develop and evaluate natural language processing (NLP) methods to extract treatment and toxicity information. MATERIALS AND METHODS: We constructed a gold-standard dataset of 236 clinical notes from 204,165 adult oncology patients. Domain experts annotated categories related to treatment regimens and toxicities. We developed rule-based, machine learning-based (Random Forest [RF], Support Vector Machine [SVM], Logistic Regression [LR]), deep learning-based (BERT, ClinicalBERT), and large language models (LLM)-based NLP approaches (zero-shot and error analysis prompting). A 5-fold cross validation were conducted to validate each model. RESULTS: Error analysis prompting achieved optimal precision, recall, and F1 scores for treatment (F1 = 1.000) and toxicities extraction (F1 = 0.965), whereas zero-shot perform moderately (treatment F1 = 0.889, toxicities extraction F1 = 0.854) Rule-based reached F1 = 1.000 for treatment and F1 = 0.904 for toxicities extraction. LR and SVM ranked second and fourth for toxicities extraction (LR F1 = 0.914, SVM F1 = 0.903). Deep learning and RF underperformed, with performance of BERT reached F1 = 0.792 for treatment and F1 = 0.837 for toxicities extraction.,ClinicalBERT reached F1 = 0.797 for treatment and F1 = 0.884 for toxicities extraction). RF reached F1 = 0.745 for treatment and F1 = 0.853 for toxicities extraction. DISCUSSION: LMM-based error analysis outperformed all others, followed by machine learning methods. Machine learning and deep learning methods were limited by small training data and showed limited generalizability, particularly for rare categories. CONCLUSION: LLM-based error analysis most effectively extracted fluoropyrimidine treatment and toxicity information from clinical notes, and has strong potential to support oncology research and pharmacovigilance.
4 Apr 2026
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