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维特鲁威情节:网络荟萃分析中多个结局的可视化工具。

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

机构信息

Department of Psychiatry, University of Oxford, Oxford, UK.

Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK.

出版信息

Evid Based Ment Health. 2022 Dec;25(e1):e65-e70. doi: 10.1136/ebmental-2022-300457. Epub 2022 May 25.

Abstract

OBJECTIVE

A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The 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 , 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 allows reporting of multiple outcomes from NMAs, with colourings appropriate to inform credibility of the presented evidence.

摘要

目的

网络荟萃分析(NMA)通常会评估多个治疗比较的多个结局。该工具旨在促进 NMA 中多个结局信息向患者和临床医生的传递。

方法

我们根据现有文献中关于获益-风险信息传递的建议制定了该工具。我们收集并实施了来自研究人员、统计学家、方法学家、临床医生和身体及心理健康问题患者的反馈。

结果

我们提出了 ,该工具以图形方式展示了几个感兴趣结局的竞争干预措施相对于共同对照的绝对估计值和相对表现。我们使用两种替代颜色方案来突出统计证据的强度或证据的可信度。使用置信网络荟萃分析(CINeMA)系统,通过六个领域(内部偏倚、报告偏倚、间接性、不精确性、异质性和不协调性)评估证据的可信度。

结论

该工具允许从 NMA 中报告多个结局,并使用适当的颜色来告知呈现证据的可信度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3ce/10231634/ed9f8ea5511a/ebmental-2022-300457f01.jpg

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