Please use this identifier to cite or link to this item: https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/1119
Title: Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis
Authors: Ostinelli, Edoardo
Zangani, Caroline
Smith, Katharine A
Cipriani, Andrea
Keywords: Network Meta-Analysis
Issue Date: May-2022
Citation: Edoardo Giuseppe Ostinelli, Orestis Efthimiou, Huseyin Naci,Toshi A Furukawa,Stefan Leucht,Georgia Salanti Laurence Wainwright, Caroline Zangani,Franco De Crescenzo, Katharine Smith, Katherine Stevens, Qiang Liu,Andrea Cipriani.Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis. Evidence-Based Mental Health Published Online First: 25 May 2022
Abstract: Objective A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The Vitruvian plot aims to facilitate communication of multiple outcomes from NMAs to patients and clinicians. Methods We developed this tool following the recommendations on the communication of benefit–risk information from the available literature. We collected and implemented feedback from researchers, statisticians, methodologists, clinicians and people with lived experience of physical and mental health issues. Results We present the Vitruvian plot, which graphically presents absolute estimates and relative performance of competing interventions against a common comparator for several outcomes of interest. We use two alternative colour schemes to highlight either the strength of statistical evidence or the confidence in the evidence. Confidence in the evidence is evaluated across six domains (within-study bias, reporting bias, indirectness, imprecision, heterogeneity and incoherence) using the Confidence in Network Meta-Analysis (CINeMA) system. Conclusions The Vitruvian plot allows reporting of multiple outcomes from NMAs, with colourings appropriate to inform credibility of the presented evidence.
Description: Open access
URI: https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/1119
Appears in Collections:Conducting Research

Files in This Item:
File Description SizeFormat 
ebmental-2022-300457.full.pdfMain article869.38 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.