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

IF 6.6 2区 医学 Q1 PSYCHIATRY
Edoardo Giuseppe Ostinelli, Orestis Efthimiou, Huseyin Naci, Toshi A Furukawa, Stefan Leucht, Georgia Salanti, Laurence Wainwright, Caroline Zangani, Franco De Crescenzo, Katharine Smith, Katherine Stevens, Qiang Liu, Andrea Cipriani
{"title":"Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis.","authors":"Edoardo Giuseppe Ostinelli,&nbsp;Orestis Efthimiou,&nbsp;Huseyin Naci,&nbsp;Toshi A Furukawa,&nbsp;Stefan Leucht,&nbsp;Georgia Salanti,&nbsp;Laurence Wainwright,&nbsp;Caroline Zangani,&nbsp;Franco De Crescenzo,&nbsp;Katharine Smith,&nbsp;Katherine Stevens,&nbsp;Qiang Liu,&nbsp;Andrea Cipriani","doi":"10.1136/ebmental-2022-300457","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The <i>Vitruvian plot</i> aims to facilitate communication of multiple outcomes from NMAs to patients and clinicians.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>We present the <i>Vitruvian plot</i>, 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.</p><p><strong>Conclusions: </strong>The <i>Vitruvian plot</i> allows reporting of multiple outcomes from NMAs, with colourings appropriate to inform credibility of the presented evidence.</p>","PeriodicalId":12233,"journal":{"name":"Evidence Based Mental Health","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/5a/13/ebmental-2022-300457.PMC9811072.pdf","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evidence Based Mental Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/ebmental-2022-300457","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 9

Abstract

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.

Abstract Image

Abstract Image

Abstract Image

维特鲁威图:网络荟萃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与患者和临床医生之间的多种结果交流。方法:我们根据现有文献中关于利益-风险信息交流的建议开发了这个工具。我们收集并实施了来自研究人员、统计学家、方法学家、临床医生和有过身心健康问题生活经历的人的反馈。结果:我们提出了维特鲁威图,该图以图形形式展示了与几个感兴趣的结果的共同比较器相比,竞争干预措施的绝对估计和相对表现。我们使用两种可供选择的配色方案来突出统计证据的强度或证据的可信度。使用网络元分析(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、异质性和不一致性)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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
18.10
自引率
7.70%
发文量
31
期刊介绍: Evidence-Based Mental Health alerts clinicians to important advances in treatment, diagnosis, aetiology, prognosis, continuing education, economic evaluation and qualitative research in mental health. Published by the British Psychological Society, the Royal College of Psychiatrists and the BMJ Publishing Group the journal surveys a wide range of international medical journals applying strict criteria for the quality and validity of research. Clinicians assess the relevance of the best studies and the key details of these essential studies are presented in a succinct, informative abstract with an expert commentary on its clinical application.Evidence-Based Mental Health is a multidisciplinary, quarterly publication.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信