Resolve conflicting rankings of outcomes in network meta‐analysis: Partial ordering of treatments
Abstract
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.
Citing Literature
Number of times cited according to CrossRef: 9
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