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在成对荟萃分析中纳入多臂试验信息的方法。

Methods for including information from multi-arm trials in pairwise meta-analysis.

机构信息

Institute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg im Breisgau, Germany.

Cochrane Germany, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg im Breisgau, Germany.

出版信息

Res Synth Methods. 2017 Dec;8(4):392-403. doi: 10.1002/jrsm.1259. Epub 2017 Aug 25.

Abstract

Systematic reviewers conducting pairwise meta-analyses sometimes encounter multi-arm studies. To include these studies, and to avoid a unit-of-analysis error, often two or more arms are combined or the control arm is split. In this tutorial, we present 5 different approaches that can be used. Particularly, we present a novel approach (method 4) that to the best of our knowledge has not been presented before. We demonstrate their application on 3 selected data sets, discuss their scope of application and their advantages and limitations, and give recommendations.

摘要

系统评价员在进行成对的荟萃分析时有时会遇到多臂研究。为了包括这些研究,并避免分析单位错误,通常会合并两个或更多的手臂,或拆分对照臂。在本教程中,我们介绍了 5 种不同的方法,可以使用这些方法。特别是,我们提出了一种新方法(方法 4),据我们所知,这种方法以前没有提出过。我们在 3 个选定的数据集上演示了它们的应用,讨论了它们的应用范围以及它们的优点和局限性,并提出了建议。

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