Network meta-analysis: an introduction for clinicians

被引：0
作者：
Benjamin Rouse
Anna Chaimani
Tianjing Li
机构：
[1] Johns Hopkins Bloomberg School of Public Health,Center for Clinical Trials and Evidence Synthesis, Department of Epidemiology
[2] University of Ioannina School of Medicine,Department of Hygiene and Epidemiology
来源：
Internal and Emergency Medicine | 2017年 / 12卷
关键词：
Network meta-analysis; Multiple treatment meta-analysis; Comparative effectiveness; Transitivity;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Network meta-analysis is a technique for comparing multiple treatments simultaneously in a single analysis by combining direct and indirect evidence within a network of randomized controlled trials. Network meta-analysis may assist assessing the comparative effectiveness of different treatments regularly used in clinical practice and, therefore, has become attractive among clinicians. However, if proper caution is not taken in conducting and interpreting network meta-analysis, inferences might be biased. The aim of this paper is to illustrate the process of network meta-analysis with the aid of a working example on first-line medical treatment for primary open-angle glaucoma. We discuss the key assumption of network meta-analysis, as well as the unique considerations for developing appropriate research questions, conducting the literature search, abstracting data, performing qualitative and quantitative synthesis, presenting results, drawing conclusions, and reporting the findings in a network meta-analysis.
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页码：103 / 111
页数：8
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