Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI [0.03%]
证据综合转型：系统综述人工智能时代元分析的自动化发展演变历程
Lingbo Li,Anuradha Mathrani,Teo Susnjak
Lingbo Li
Exponential growth in scientific literature has heightened the demand for efficient evidence-based synthesis, driving the rise of the field of automated meta-analysis (AMA) powered by natural language processing and machine learning. This P...
Strategizing AI utilization for psychological literature screening: A comparative analysis of machine learning algorithms and key factors to consider [0.03%]
心理文献筛选中人工智能利用的策略制定：机器学习算法与关键影响因素的比较分析
Lars König,Steffen Zitzmann,Martin Hecht
Lars König
With the rapid growth of scholarly literature, efficient artificial intelligence (AI)-aided abstract screening tools are becoming increasingly important. This study evaluated 10 different machine learning (ML) algorithms used in AI-aided sc...
Comparative Study
Research synthesis methods. 2026 May;17(3):451-482. DOI:10.1017/rsm.2025.10053 2026
Aggregating and analysing clinical trials data from multiple public registers using R package ctrdata [0.03%]
使用R包ctrdata从多个公共注册表中汇总和分析临床试验数据
Ralf Herold
Ralf Herold
The ctrdata package has been created to boost the use of data available in public registers of clinical trials. It enables user-friendly, reproducible workflows to identify trials of interest, download protocol- and results-related data, an...
Evaluating differences in latent means across studies: Extending meta-analytic confirmatory factor analysis with the analysis of means [0.03%]
研究间潜在均值差异的评价：通过均值分析扩展元分析验证性因素分析
Suzanne Jak,Mike W-L Cheung,Selcuk Acar et al.
Suzanne Jak et al.
Meta-analytic confirmatory factor analysis (CFA) is a type of meta-analytic structural equation modeling (MASEM) that is useful for evaluating the factor structure of measurement scales based on data from multiple studies. Modeling the fact...
Bayes factor hypothesis testing in meta-analyses: Practical advantages and methodological considerations [0.03%]
贝叶斯因素假设检验在meta分析中的实际优势与方法学考量
Joris Mulder,Robbie C M van Aert
Joris Mulder
Bayesian hypothesis testing via Bayes factors offers a principled alternative to classical p-value methods in meta-analysis, particularly suited to its cumulative and sequential nature. Unlike p-values, Bayes factors allow for quantifying s...
Evaluation of the replicability of systematic reviews with meta-analyses of the effects of health interventions [0.03%]
评估卫生干预措施效果的系统评价和荟萃分析的可重复性评价
Daniel G Hamilton,Joanne E McKenzie,Phi-Yen Nguyen et al.
Daniel G Hamilton et al.
Systematic reviews are often characterized as being inherently replicable, but several studies have challenged this claim. The objective of the study was to investigate the variation in results following independent replication of literatur...
Reflections on the I-squared index for measuring inconsistency in meta-analysis [0.03%]
关于衡量元分析中一致性的I²指标的思考
Julian P T Higgins,José A López-López
Julian P T Higgins
The I-squared index was proposed in 2002 as a measure to help understand the consistency of study results in a meta-analysis. It was developed to overcome some of the limitations of existing measures, principally the chi-squared test for he...
Reporting and evaluation of assumptions and certainty of evidence in network meta-analyses [0.03%]
网络 Meta 随机对照试验分析中假设的报告与评估及证据确定性的评价
Kansak Boonpattharatthiti,Kanyaphak Chueadi,Phiyanuch Thimkorn et al.
Kansak Boonpattharatthiti et al.
Network meta-analysis (NMA) facilitates the comparison of multiple treatments by integrating both direct and indirect evidence. Applications of NMA in medical decision making have grown exponentially. However, the validity of NMA findings d...
Gerit Wagner,Julian Prester,Roman Lukyanenko et al.
Gerit Wagner et al.
Effective data management is essential for tasks involving decisions based on data, including knowledge synthesis and literature reviews. Despite this, how to carry out data management in literature reviews effectively remains unclear. With...
Minimum distance estimation of mean and standard deviation from reported quantiles [0.03%]
分位数报告下的均值和标准差的最小距离估计方法
Xiaoyu Tang,Tiejun Tong,Xin Zhang et al.
Xiaoyu Tang et al.
Meta-analysis is a cornerstone of evidence synthesis, yet challenges arise when studies report heterogeneous summary statistics, such as means and standard deviations (SDs) versus medians, interquartile ranges (IQRs), or other percentiles. ...