期刊
JOURNAL OF CLINICAL EPIDEMIOLOGY
卷 76, 期 -, 页码 193-199出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2016.02.016
关键词
Multiple treatment meta-analysis; Multiple outcomes; Probability best; SUCRA; Graphical displays; Presentation results
资金
- CIHR Banting Postdoctoral Fellowship Program
- Tier 1 Canada Research Chair in Knowledge Translation
- Drug Safety and Effectiveness Network/Canadian Institutes of Health Research New Investigator Award in Knowledge Synthesis
Objectives: To present a novel and simple graphical approach to improve the presentation of the treatment ranking in a network meta analysis (NMA) including multiple outcomes. Study Design and Setting: NMA simultaneously compares many relevant interventions for a clinical condition from a network of trials, and allows ranking of the effectiveness and/or safety of each intervention. There are numerous ways to present the NMA results, which can challenge their interpretation by research users. The rank-heat plot is a novel graph that can be used to quickly recognize which interventions are most likely the best or worst interventions with respect to their effectiveness and/or safety for a single or multiple outcome(s) and may increase interpretability. Results: Using empirical NMAs, we show that the need for a concise and informative presentation of results is imperative, particularly as the number of competing treatments and outcomes in an NMA increases. Conclusion: The rank-heat plot is an efficient way to present the results of ranking statistics, particularly when a large amount of data is available, and it is targeted to users from various backgrounds. (C) 2016 Elsevier Inc. All rights reserved.
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