Response to: Five methodological considerations for validating LLMs in risk of bias assessment [0.03%]
对“偏倚风险评估中验证LLMs的五个方法学考虑”的回应
Angelika Eisele-Metzger,Judith-Lisa Lieberum,Markus Toews et al.
Angelika Eisele-Metzger et al.
Model-based network meta-analysis: Joint estimation of dose-response and time-course relationships [0.03%]
基于模型的网状meta分析：剂量-反应和时序关系的联合估计
Anders Strathe,Martin Bøg,Anders Gorst-Rasmussen
Anders Strathe
Under the network meta-analysis (NMA) framework for aggregate data, there are limited possibilities for evidence synthesis across multiple treatment doses or timepoints. Model-based network meta-analysis (MBNMA) has been recommended as a fr...
Using Elicit AI research assistant for data extraction in systematic reviews: A feasibility study across environmental and life sciences [0.03%]
利用Elicit人工智能研究助理进行环境和生命科学系统评价中的数据提取的可行性研究
Malgorzata Lagisz,Ayumi Mizuno,Kyle Morrison et al.
Malgorzata Lagisz et al.
Data extraction in systematic reviews, maps, and meta-analyses is time-consuming and prone to human error or subjective judgment. Large Language Models offer the potential for saving time, yet their performance has been evaluated in a limit...
Back-transformations in random-effects meta-analysis-Impact and interpretation [0.03%]
随机效应meta分析中的反变换及其影响和解释
Jan-Bernd Igelmann,Markus Pauly,Wolfgang Viechtbauer
Jan-Bernd Igelmann
In meta-analyses, effect size measures with bounded or non-normal sampling distributions are commonly analyzed on a transformed scale to justify normality assumptions. While point estimates and confidence intervals (CIs) are routinely back-...
Meta-regression with categorical moderators and dependent effect sizes: A simulation study [0.03%]
基于分类调节变量和依赖效应量的元回归：一项仿真研究
Belén Fernández-Castilla,José Antonio López-López,María Rubio-Aparicio
Belén Fernández-Castilla
Categorical moderators are often found in meta-analysis and examined using meta-regression models. When multiple effect sizes are present within studies, several methods can be used for meta-regression: multivariate models, three-level mode...
Barriers to searching for grey literature in systematic reviews: A survey of authors and editors [0.03%]
关于系统综述中查找灰色文献障碍的调查：来自作者和编辑的观点
Jane O&#x;Sullivan,Sarah Dawson,Julian Piers Thomas Higgins
Jane O&#x;Sullivan
To explore the perceptions of, and barriers to, grey literature searching among medical researchers and journal editors. A cross-sectional survey of authors of systematic reviews and the editors of the journals in which the reviews were pub...
Augustine Wigle,Erica E M Moodie
Augustine Wigle
Network meta-analysis (NMA) is an increasingly popular evidence synthesis tool that can provide a ranking of competing treatments, also known as a treatment hierarchy. Treatment-covariate interactions (TCIs) can be included in NMA models to...
How comprehensive is comprehensive? Prevalence of searches beyond peer-reviewed journal articles and bibliographic sources: a cross-sectional study of systematic reviews [0.03%]
系统评价中检索非同行评审期刊和文献引用数据库的全面性如何？一项横断面研究
Jane O&#x;Sullivan,Sarah Dawson,Chris Cooper et al.
Jane O&#x;Sullivan et al.
To examine the extent to which information sources other than journal articles are sought for systematic reviews. Cross-sectional study of published systematic reviews. We examined all published systematic reviews included in MEDLINE in a 4...
Large language model-based paper classification framework with key-insight extraction and confidence-weighted voting [0.03%]
基于大型语言模型的论文分类框架：关键洞察抽取和置信度加权投票
Zihan Song,Shan Huang,Ngeemasara Thapa et al.
Zihan Song et al.
Systematic reviews (SRs) are critical for evidence-based research but are time-consuming and labor-intensive. The rapid expansion of academic publications further challenges the performance and applicability of existing screening and classi...
Clustered flexible calibration plots for binary outcomes using random effects modeling [0.03%]
基于随机效应模型的二分类结果聚类式弹性校准图
Lasai Barreñada,Bavo De Cock Campo,Laure Wynants et al.
Lasai Barreñada et al.
Evaluation of clinical prediction models across multiple clusters, whether centers or datasets, is becoming increasingly common. A comprehensive evaluation includes an assessment of the agreement between the estimated risks and the observed...