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 …

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评论：“维特鲁威图：网络荟萃分析中多种结果的可视化工具”

Ostinelli 等人开发了一种有趣的可视化工具，即维特鲁威图，用于呈现网络荟萃分析中的多种结果。1 我们写信是为了提出一些建议和潜在的改进。首先，为了展示统计证据的强度，作者根据 Z 检验的 p 值对扇区进行了着色。根据 Cochran 手册2，这可能导致对 p 值的过度依赖和误解，以及对不精确性的武断判断。一种解决方案是根据 GRADE 工作组的指导，使用部分情境化的方法。3 这种方法还鼓励研究人员使用绝对值。选择参考干预措施后，研究人员……