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

Research Synthesis Methods
Michael SeoOrestis Efthimiou

Abstract

Network meta-analysis (NMA) can be used to compare multiple competing treatments for the same disease. In practice, usually a range of outcomes is of interest. As the number of outcomes increases, summarizing results from multiple NMAs becomes a nontrivial 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 article, 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.

References

Oct 8, 2013·Clinical Trials : Journal of the Society for Clinical Trials·Jing ZhangHaitao Chu
Jul 6, 2014·Biostatistics·Orestis EfthimiouGeorgia Salanti
Jan 13, 2016·Research Synthesis Methods·Orestis EfthimiouUNKNOWN GetReal Methods Review Group
Mar 5, 2016·Journal of Clinical Epidemiology·Areti Angeliki VeronikiAndrea C Tricco
Mar 20, 2019·BMC Medical Research Methodology·Martin LawDan Jackson
Mar 22, 2019·Nature·Valentin AmrheinBlake McShane
Mar 25, 2019·Journal of Clinical Epidemiology·Areti Angeliki VeronikiAndrea C Tricco
Sep 3, 2019·Research Synthesis Methods·Orestis Efthimiou, Ian R White
Sep 30, 2019·Evidence-based Mental Health·Sara BalduzziGuido Schwarzer
Oct 5, 2019·Statistics in Medicine·Ian R WhiteGeorgia Salanti
Apr 4, 2020·PLoS Medicine·Adriani NikolakopoulouGeorgia Salanti

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R shiny
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