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.

中文翻译：

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维特鲁威图：网络元分析中多个结果的可视化工具

目的 网络荟萃分析 (NMA) 通常评估多个治疗比较的多个结果。维特鲁威图旨在促进 NMA 向患者和临床医生传达多种结果。方法 我们根据现有文献中有关利益-风险信息交流的建议开发了该工具。我们收集并实施了来自研究人员、统计学家、方法学家、临床医生和具有身心健康问题亲身经历的人们的反馈。结果我们展示了维特鲁威图，该图以图形方式呈现了针对几个感兴趣的结果的竞争干预措施的绝对估计值和相对性能与共同比较器的相对性能。我们使用两种替代配色方案来突出统计证据的强度或对证据的信心。使用网络元分析置信度 (CINeMA) 系统评估六个领域（研究内偏倚、报告偏倚、间接性、不精确性、异质性和不连贯性）对证据的置信度。结论 维特鲁威图允许报告 NMA 的多个结果，并使用适当的颜色来告知所提供证据的可信度。