13396 papers
This study analyzes 101 PROSPERO-registered protocols on oral cancer detection, revealing that most are recent, originate primarily from India, lack financial support, predominantly utilize QUADAS-2 for bias assessment, and focus on biomarkers within observational studies.
This paper presents a comprehensive dataset linking 45,988 completed phase 2–3 drug trials from ClinicalTrials.gov (2010–2026) to subsequent FDA approval outcomes, providing critical data for benchmarking trial design and analyzing drug attrition rates.
This case report highlights a critical 15.5-hour delay in communicating life-threatening laboratory results to the clinical team at a Nigerian tertiary hospital, underscoring the urgent need for formalized critical value policies, after-hours verification protocols, and structured notification pathways to ensure patient safety.
A cross-sectional study at Buvuma Health Centre IV revealed a 57.6% malaria prevalence among under-five children, identifying household income, transport costs, lack of window/door screening, and specific age and housing characteristics as significant factors influencing infection rates.
This study successfully developed and optimized a puerarin-loaded ion-triggered in situ gel using gellan gum and tamarind seed xyloglucan to overcome the limitations of conventional eye drops by achieving sustained precorneal retention, enhanced mucoadhesion, and improved corneal permeation for the effective management of dry eye disease.
This study utilizes growth mixture modelling on a multi-country cohort to identify distinct height and weight trajectories among HIV-exposed uninfected children in sub-Saharan Africa, revealing that growth outcomes are more strongly associated with country context, household infrastructure, and maternal employment than with maternal HIV disease severity, though ART regimen type also shows notable associations.
This landmark analysis of ClinicalTrials.gov version histories reveals that while enrollment reductions and primary-outcome changes are significant predictors of industry-sponsored phase 2–3 drug trial termination, delays in the primary completion date do not predict trial failure.
This paper proposes a dual-stream spatio-temporal network with a bidirectional rectification fusion module and knowledge distillation to improve the differential diagnosis of Alzheimer's disease and frontotemporal dementia using resting-state EEG, achieving measurable performance gains over baseline methods on the ADFTD-RS dataset.
This cross-sectional study of 163 mothers of low-birth-weight infants reveals that despite generally positive perceptions of discharge teaching, only 29% felt ready for discharge, with tertiary hospital delivery emerging as the sole significant predictor of readiness, highlighting critical gaps in information and skills transfer that must be addressed to improve newborn outcomes.
This study developed and evaluated an AI-enabled Clinical Decision Support System using a large retrospective dataset from Nigeria to demonstrate the feasibility of early Lassa fever triage in endemic settings through a lightweight, interpretable XGBoost model that stratifies patient risk based on initial clinical presentation.