Faculty of Medicine and Medical Center, Institute for Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany.
Res Synth Methods. 2017 Dec;8(4):526-536. doi: 10.1002/jrsm.1270. Epub 2017 Oct 17.
Network meta-analysis has evolved into a core method for evidence synthesis in health care. In network meta-analysis, 3 or more treatments for a given medical condition are compared, based on a number of clinical studies, usually randomized controlled trials. Often, many different endpoints are investigated, related to different aspects of the patient's outcome, such as efficacy, safety, acceptability, or costs of a treatment. Different outcomes may lead to different rankings of the treatments. We use the existing theory of partially ordered sets and show how the relations between the treatments in a network meta-analysis can be illustrated by Hasse diagrams, that is, directed graphs showing the partial order relations, and by structured scatter plots and biplots.
网络荟萃分析已发展成为医疗保健中证据综合的核心方法。在网络荟萃分析中，根据多项临床研究（通常为随机对照试验），比较了给定医疗状况的 3 种或更多种治疗方法。通常，会研究许多不同的终点，这些终点与患者结局的不同方面有关，例如治疗的疗效、安全性、可接受性或成本。不同的结局可能导致治疗方法的不同排名。我们使用现有的偏序集理论，并展示如何通过哈塞图（即显示偏序关系的有向图）、结构化散点图和双标图来表示网络荟萃分析中治疗方法之间的关系。
