Applying Bradford Hill to assessing causality in systematic reviews: A transparent approach using process tracing [0.03%]
运用布拉德福·希尔标准评估系统综述中的因果关系：一种使用过程追踪的透明方法
Michal Shimonovich,Hilary Thomson,Anna Pearce et al.
Michal Shimonovich et al.
Background: Bradford Hill (BH) viewpoints are widely used to assess causality in systematic reviews, but their application has often lacked reproducibility. We describe an approach for assessing causality within systemati...
Exploring methodological approaches used in network meta-analysis of psychological interventions: A scoping review [0.03%]
系统综述：心理干预网络meta分析中所使用的方法学 접근方式探究
Kansak Boonpattharatthiti,Garin Ruenin,Pun Kulwong et al.
Kansak Boonpattharatthiti et al.
Psychological interventions are complex in nature and have been shown to benefit various clinical outcomes. Gaining insight into current practices would help identify specific aspects that need improvement to enhance the quality of network ...
A tutorial on aggregating evidence from conceptual replication studies using the product Bayes factor [0.03%]
使用乘积贝叶斯因子聚合概念重复研究的证据以进行元分析的一个教程
Caspar J Van Lissa,Eli-Boaz Clapper,Rebecca Kuiper
Caspar J Van Lissa
The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparab...
Evolving use of the Cochrane Risk of Bias 2 tool in biomedical systematic reviews [0.03%]
Cochrane风险偏倚2.0工具在生物医学系统评价中的应用演变
Livia Puljak,Andrija Babić,Ognjen Barčot et al.
Livia Puljak et al.
An evaluation of the performance of stopping rules in AI-aided screening for psychological meta-analytical research [0.03%]
评估AI辅助心理元分析研究中筛查停止规则的性能
Lars König,Steffen Zitzmann,Tim Fütterer et al.
Lars König et al.
Several AI-aided screening tools have emerged to tackle the ever-expanding body of literature. These tools employ active learning, where algorithms sort abstracts based on human feedback. However, researchers using these tools face a crucia...
Development and validation of a geographic search filter for MEDLINE (PubMed) to identify studies about Germany [0.03%]
在MEDLINE（PubMed）中开发和验证地理搜索过滤器以识别关于德国的研究
Alexander Pachanov,Catharina Münte,Julian Hirt et al.
Alexander Pachanov et al.
While geographic search filters exist, few of them are validated and there are currently none that focus on Germany. We aimed to develop and validate a highly sensitive geographic search filter for MEDLINE (PubMed) that identifies studies a...
Mapping between measurement scales in meta-analysis, with application to measures of body mass index in children [0.03%]
量纲间映射在元分析中的应用——以儿童体质指数的测量为例
Annabel L Davies,A E Ades,Julian P T Higgins
Annabel L Davies
Quantitative evidence synthesis methods aim to combine data from multiple medical trials to infer relative effects of different interventions. A challenge arises when trials report continuous outcomes on different measurement scales. To inc...
Towards the automatic risk of bias assessment on randomized controlled trials: A comparison of RobotReviewer and humans [0.03%]
关于随机对照试验的风险偏倚自动评估的探究：机器人评审家与人类对比研究
Yuan Tian,Xi Yang,Suhail A Doi et al.
Yuan Tian et al.
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias a...
Comparative Study
Research synthesis methods. 2024 Nov;15(6):1111-1119. DOI:10.1002/jrsm.1761 2024
Uncertain about uncertainty in matching-adjusted indirect comparisons? A simulation study to compare methods for variance estimation [0.03%]
匹配调整间接比较中的不确定性不确定？一种比较方差估计方法的模拟研究
Conor O Chandler,Irina Proskorovsky
Conor O Chandler
In health technology assessment, matching-adjusted indirect comparison (MAIC) is the most common method for pairwise comparisons that control for imbalances in baseline characteristics across trials. One of the primary challenges in MAIC is...
Comparative Study
Research synthesis methods. 2024 Nov;15(6):1094-1110. DOI:10.1002/jrsm.1759 2024
Yu-Kang Tu,Pei-Chun Lai,Yen-Ta Huang et al.
Yu-Kang Tu et al.
Network meta-analysis (NMA) incorporates all available evidence into a general statistical framework for comparing multiple treatments. Standard NMAs make three major assumptions, namely homogeneity, similarity, and consistency, and violati...