Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 4 appraisals
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
Quality of life with anophthalmia: a systematic review.
PURPOSE: Anophthalmia due to enucleation, evisceration, or exenteration, results in permanent vision loss that may have profound functional, psychological, and social consequences. The purpose of this study is to evaluate health-related quality of life, vision-related quality of life, and psychosocial outcomes among adults with anophthalmia. METHODS: This systematic review was conducted in accordance with PRISMA 2020 guidelines and prospectively registered on PROSPERO (ID: CRD420251274476). MEDLINE, Embase, and CENTRAL were searched from inception to September 9, 2025. Eligible studies included participants with congenital or acquired anophthalmia and reported outcomes related to quality of life or psychosocial health. Risk of bias was assessed using the Cochrane RoB-2 tool for randomized trials and Joanna Briggs Institute critical appraisal tools for observational studies and results were synthesized narratively. RESULTS: Forty-two studies (1999-2025) including 4544 patients (56.0% male; mean age 49.9 years) were included. Enucleation was the most common procedure (55.1%), and most cases were unilateral (59.6%). Health-related quality of life was commonly assessed using the SF-36 and vision-related quality of life using the NEI VFQ-25. Early postoperative reductions in health-related quality of life were frequently observed, with partial recovery over time. Vision-related quality of life remained persistently impaired, particularly for depth perception, peripheral vision, and driving. While mean anxiety and depression scores were often within normal ranges, a substantial subset of patients experienced ongoing psychological distress and appearance-related concerns. CONCLUSIONS: Acquired anophthalmia is associated with enduring vision-specific and psychosocial challenges, supporting the need for anticipatory counseling and integrated multidisciplinary rehabilitation in clinical practice.
25 July 2026
Read appraisal →International ophthalmology
Safety and efficacy of silicone intubation compared to standard techniques in endoscopic dacryocystorhinostomy: a systematic review and meta-analysis
BACKGROUND: Primary Acquired nasolacrimal duct obstruction (PANDO) is a lacrimal drainage disorder, commonly seen in adults. Endoscopic Dacryocystorhinostomy (EN-DCR) is a widely adopted surgical procedure for treatment of nasolacrimal duct obstruction. Silicon intubation is a technique, which involves inserting a soft silicone stent to keep the ostium patent post operatively. METHODS: This meta-analysis followed Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 guidelines, with searches across 4 databases. Primary outcomes were overall success rate, and overall failure rate. Secondary outcomes included granulations/intracanalicular obstruction (ICO) threats, hemorrhage, anatomical failure, functional failure, recurrent symptoms/epiphora, and cicatricial stenosis/post-procedural restenosis. Data were analyzed using R software version 4.3. Heterogeneity was assessed using the I2 statistic. RESULTS: From 3,974 studies initially, 20 studies were selected in the final review, in which 17 were RCTs and 3 observational studies. A statistically significant improvement in surgical success rates, while reducing failure rates were observed in the silicone intubation (stented) group compared to the unstented group. No significant difference was observed in the incidence of restenosis, hemorrhage, functional failure, epiphora or recurrent symptoms. Reduction of anatomical failure was observed. Increase in adverse effects of granulation tissue formation and internal canalicular obstruction were observed. Heterogeneity was low and no publication bias was detected in outcomes. CONCLUSIONS: Silicone intubation during mechanical endoscopic dacryocystorhinostomy (EN-DCR) was associated with improved success and patency rates, as well as lower failure rate. While more resource-intensive, it provides a slightly higher advantage, particularly in recurrent or revision instances, recommending its implementation in routine EN-DCR where possible.
16 July 2026
Read appraisal →Indian journal of ophthalmology
Immune checkpoint inhibitor therapy for treatment of periocular Merkel cell carcinoma: A systematic review of clinical outcomes and safety
Merkel cell carcinoma (MCC) is a rare, aggressive neurocutaneous malignancy associated with ultraviolet damage, immunosuppression, and Merkel cell polyoma virus infection. Periocular MCC is uncommon but has high rates of local recurrence and metastasis and presents unique therapeutic challenges due to functional and cosmetic considerations. Immune checkpoint inhibitor (ICI) therapy has shown efficacy in systemic MCC; however, evidence for periocular use is limited to small case series and reports without consolidated evidence or consensus. Thus, this study summarizes and evaluates the effectiveness and safety of ICIs for periocular MCC. A systematic literature search across PubMed, Embase, and Web of Science was conducted according to PRISMA guidelines. Randomized and nonrandomized studies, case series, and case reports in English describing ICI use for periocular MCC were included. Non-human studies, non-periocular MCC, and reports without ICI treatment were excluded. Extracted data included patient demographics, tumor characteristics, treatment regimen, and patient outcomes. Seven studies reporting ten patients were included. Treatment regimens consisted of pembrolizumab (n = 6) and avelumab (n = 3), or both medications (n = 1). At a mean follow-up of 11.4 ± 9.0 months, nine patients had complete response (90%); only one patient developed subsequent distant progression despite local response. Patients with both localized periocular disease and metastatic involvement demonstrated favorable responses to ICI. Adverse effects were infrequent and typically mild; only one patient discontinued therapy due to adverse effects. ICIs may be an effective and well-tolerated treatment for local and advanced periocular MCC; however, larger, prospective studies are needed.
28 May 2026
Read appraisal →Medical science monitor : international medical journal of experimental and clinical research
Use of Deep Learning Models in the Diagnosis of Proptosis Through Orbital Magnetic Resonance Imaging
BACKGROUND Proptosis is a common manifestation of orbital disease; however, current diagnostic tools, such as the Hertel exophthalmometer and manual radiological measurements, have limited reproducibility and are observer-dependent. More objective, automated approaches are needed. In this single-center retrospective study, orbital magnetic resonance imaging (MRI) examinations from 521 participants (261 with proptosis, 260 controls) were analyzed. Proptosis was defined on MRI using interzygomatic line-based distance criteria. Three-dimensional convolutional neural network models based on DenseNet121, DenseNet169, DenseNet264, and ResNet50 architectures were trained on volumetric orbital MRI data. MATERIAL AND METHODS Data were divided into training, validation, and test sets, and 5-fold cross-validation with early stopping was used to optimize and validate model performance. Diagnostic performance was assessed using accuracy, area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. RESULTS DenseNet121 achieved the best overall performance, with mean accuracy of 95.0%, AUC of 0.986, sensitivity of 92.7%, and specificity of 96.9% across 5-fold cross-validation. CONCLUSIONS To the best of our knowledge, prior artificial intelligence studies in orbital imaging have primarily focused on CT-based measurements, radiomics approaches, or thyroid-associated orbitopathy assessment rather than end-to-end 3-dimensional deep learning analysis of orbital MRI volumes. In this context, the present study explores a volumetric MRI-based deep learning framework for automated proptosis detection, emphasizing patient-level classification and explainable model interpretation.
19 Apr 2026
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