Ostinelli et al developed an interesting visualisation tool, the Vitruvian plot, to present multiple outcomes in network meta-analysis.1 We write to make some suggestions and potential improvements.
First, to present the strength of statistical evidence, the authors colour the sectors according to the p values of a Z-test. According to the Cochran handbook,2 this could lead to over-reliance and misinterpretation of p values, and assertive judgements about imprecision. One solution is to use a partially contextualised approach, according to the guidance of the GRADE working group.3 This approach also encourages researchers to use absolute values. After choosing reference intervention, researchers need to set thresholds for effects, which classify interventions into those with a trivial, small, moderate or large effect.3 The specific magnitude of the potential benefit or harm is more conducive to helping readers understand the evidence accurately.
Second, in the Vitruvian plot, the…