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J Clin Epidemiol. 2016 Aug;76:193-9. doi: 10.1016/j.jclinepi.2016.02.016. Epub 2016 Mar 3.

The rank-heat plot is a novel way to present the results from a network meta-analysis including multiple outcomes.

Author information

1
Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 209 Victoria Street, East Building, Toronto, Ontario M5B 1T8, Canada.
2
Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 209 Victoria Street, East Building, Toronto, Ontario M5B 1T8, Canada; Department of Geriatric Medicine, University of Toronto, Toronto, Ontario, Canada.
3
Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 209 Victoria Street, East Building, Toronto, Ontario M5B 1T8, Canada; Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, 155 College Street, 6th Floor, Toronto, Ontario M5T 3M7, Canada. Electronic address: triccoa@smh.ca.

Abstract

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.

KEYWORDS:

Graphical displays; Multiple outcomes; Multiple treatment meta-analysis; Presentation results; Probability best; SUCRA

PMID:
26939929
DOI:
10.1016/j.jclinepi.2016.02.016
[Indexed for MEDLINE]

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