Vitruvian plot:a visualisation tool for multiple outcomes in network meta-analysis

Ostinelli, Edoardo Giuseppe; Efthimiou, Orestis; Naci, HuseyinORCID logo; Furukawa, Toshi A.; Leucht, Stefan; Salanti, Georgia; Wainwright, Laurence; Zangani, Caroline; De Crescenzo, Franco; Smith, Katharine; +3 more...Stevens, Katherine; Liu, Qiang; and Cipriani, Andrea Vitruvian plot:a visualisation tool for multiple outcomes in network meta-analysis Evidence-Based Mental Health, 25 (e1). e65 - e70. ISSN 1362-0347
Copy

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.

picture_as_pdf

picture_as_pdf
subject
Published Version
Available under Creative Commons: Attribution-NonCommercial 4.0

Download

Atom BibTeX OpenURL ContextObject in Span OpenURL ContextObject Dublin Core MPEG-21 DIDL Data Cite XML EndNote HTML Citation METS MODS RIOXX2 XML Reference Manager Refer ASCII Citation
Export

Downloads