The Kilim plot: A tool for visualizing network meta-analysis results for multiple outcomes.

Seo, Michael; Furukawa, Toshi A; Veroniki, Areti Angeliki; Pillinger, Toby; Tomlinson, Anneka; Salanti, Georgia; Cipriani, Andrea; Efthimiou, Orestis (2020). The Kilim plot: A tool for visualizing network meta-analysis results for multiple outcomes. (In Press). Research Synthesis Methods Wiley 10.1002/jrsm.1428

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Network meta-analysis (NMA) can be used to compare multiple competing treatments for the same disease. In practice, usually a range of outcomes are of interest. As the number of outcomes increases, summarizing results from multiple NMAs becomes a non-trivial task, especially for larger networks. Moreover, NMAs provide results in terms of relative effect measures that can be difficult to interpret and apply in every-day clinical practice, such as the odds ratios. In this paper, we aim to facilitate the clinical decision-making process by proposing a new graphical tool, the Kilim plot, for presenting results from NMA on multiple outcomes. Our plot compactly summarizes results on all treatments and all outcomes; it provides information regarding the strength of the statistical evidence of treatment effects, while it illustrates absolute, rather than relative, effects of interventions. Moreover, it can be easily modified to include considerations regarding clinically important effects. To showcase our method, we use data from a network of studies in antidepressants. All analyses are performed in R and we provide the source code needed to produce the Kilim plot, as well as an interactive web application.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

Graduate School:

Graduate School for Health Sciences (GHS)

UniBE Contributor:

Seo, Michael Juhn Uh; Salanti, Georgia and Efthimiou, Orestis

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1759-2879

Publisher:

Wiley

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Andrea Flükiger-Flückiger

Date Deposited:

18 Jun 2020 09:12

Last Modified:

25 Jun 2020 14:28

Publisher DOI:

10.1002/jrsm.1428

PubMed ID:

32524754

Uncontrolled Keywords:

indirect comparisons mixed evidence multiple outcomes multiple treatments meta-analysis visualization

BORIS DOI:

10.7892/boris.144720

URI:

https://boris.unibe.ch/id/eprint/144720

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