Shiny-MAGEC: A Bayesian R shiny application for meta-analysis of censored adverse events [0.03%]
Shiny-MAGEC：用于审查删失不良事件的贝叶斯R shiny应用程序
Zihan Zhou,Zizhong Tian,Christine Peterson et al.
Zihan Zhou et al.
Accurate assessment of adverse event (AE) incidence is critical in clinical research for drug safety. While meta-analysis serves as an essential tool to comprehensively synthesize the evidence across multiple studies, incomplete AE reportin...
The inclusion or exclusion of studies based on critical appraisal results in JBI qualitative systematic reviews: An analysis of practices [0.03%]
基于批判性评价结果纳入或排除研究在JBI质性系统评价中的应用：实践分析
Romy Menghao Jia,Cindy Stern
Romy Menghao Jia
Critical appraisal is a core component of JBI qualitative evidence synthesis, offering insights into the quality of included studies and their potential influence on synthesized findings. However, limited guidance exists on whether, when, a...
Compact large language models for title and abstract screening in systematic reviews: An assessment of feasibility, accuracy, and workload reduction [0.03%]
简洁型大型语言模型在系统评价题目和摘要初筛中的可行性、准确性和减负潜力评估
Antonio Sciurti,Giuseppe Migliara,Leonardo Maria Siena et al.
Antonio Sciurti et al.
Systematic reviews play a critical role in evidence-based research but are labor-intensive, especially during title and abstract screening. Compact large language models (LLMs) offer potential to automate this process, balancing time/cost r...
Beyond human gold standards: A multimodel framework for automated abstract classification and information extraction [0.03%]
超越人工金标准：自动化摘要分类和信息提取的多模型框架
Delphine S Courvoisier,Diana Buitrago-Garcia,Clément P Buclin et al.
Delphine S Courvoisier et al.
Meta-research and evidence synthesis require considerable resources. Large language models (LLMs) have emerged as promising tools to assist in these processes, yet their performance varies across models, limiting their reliability. Taking a...
Conducting evidence synthesis and developing evidence-based advice in public health and beyond: A scoping review and map of methods guidance [0.03%]
系统综述和映射导则在公共卫生证据综合与循证建议制定中的应用：系统回顾及导则映射
Ani Movsisyan,Kolahta Asres Ioab,Jan William Himmels et al.
Ani Movsisyan et al.
Effective public health decision-making relies on rigorous evidence synthesis and transparent processes to facilitate its use. However, existing methods guidance has primarily been developed within clinical medicine and may not sufficiently...
What happens to qualitative studies initially presented as conference abstracts: A survey among study authors [0.03%]
一项针对研究作者的调查：最初以会议摘要形式呈现的质性研究后来如何发展
Marwin Weber,Simon Lewin,Joerg J Meerpohl et al.
Marwin Weber et al.
Qualitative research addresses important healthcare questions, including patients' experiences with interventions. Qualitative evidence syntheses combine findings from individual studies and are increasingly used to inform health guidelines...
Evaluation of semi-automated record screening methods for systematic reviews of prognosis studies and intervention studies [0.03%]
预后研究和干预研究系统综述的半自动记录筛选方法评估
Isa Spiero,Artuur M Leeuwenberg,Karel G M Moons et al.
Isa Spiero et al.
Systematic reviews (SRs) synthesize evidence through a rigorous, labor-intensive, and costly process. To accelerate the title-abstract screening phase of SRs, several artificial intelligence (AI)-based semi-automated screening tools have be...
Simple imputation method for meta-analysis of survival rates when precision information is missing [0.03%]
缺失精度信息的生存率meta分析的简单插补方法
Kazushi Maruo,Yusuke Yamaguchi,Ryota Ishii et al.
Kazushi Maruo et al.
In meta-analyses of survival rates, precision information (i.e., standard errors (SEs) or confidence intervals) are often missing in clinical studies. In current practice, such studies are often excluded from the synthesis analyses. However...
Novel approaches for random-effects meta-analysis of a small number of studies under normality [0.03%]
正态性假设下少量研究的随机效应meta分析的新方法
Yajie Duan,Thomas Mathew,Demissie Alemayehu et al.
Yajie Duan et al.
Random-effects meta-analyses with only a few studies often face challenges in accurately estimating between-study heterogeneity, leading to biased effect estimates and confidence intervals with poor coverage. This issue is especially the ca...
Using large language models to directly screen electronic databases as an alternative to traditional search strategies such as the Cochrane highly sensitive search for filtering randomized controlled trials in systematic reviews [0.03%]
使用大型语言模型直接筛选电子数据库作为传统搜索策略（如Cochrane高度敏感的随机对照试验过滤检索）的替代方法用于系统评价
Viet-Thi Tran,Carolina Grana Possamai,Isabelle Boutron et al.
Viet-Thi Tran et al.
A critical step in systematic reviews involves the definition of a search strategy, with keywords and Boolean logic, to filter electronic databases. We hypothesize that it is possible to screen articles in electronic databases using large l...