A multifaceted graphical display, including treatment ranking, was developed to aid interpretation of network meta-analysis

被引:25
|
作者
Nevill, Clareece R. [1 ,2 ,3 ,4 ]
Cooper, Nicola J. [1 ,2 ,3 ]
Sutton, Alex J. [1 ,2 ,3 ]
机构
[1] Univ Leicester, Dept Populat Hlth Sci, Leicester, England
[2] Univ Leicester, NIHR Complex Reviews Support Unit, Glasgow City, Scotland
[3] Univ Glasgow, Glasgow City, Scotland
[4] Univ Leicester, George Davies Ctr, Dept Populat Hlth Sci, Biostat Res Grp, Univ Rd, Leicester LE1 7RH, England
关键词
Network meta-analysis; Treatment ranking; Data visualization; Evidence synthesis; Interactivity; SUCRA; INTERVENTIONS; BIAS;
D O I
10.1016/j.jclinepi.2023.02.016
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objectives: Network meta-analysis (NMA) is becoming a popular statistical tool for analyzing a network of evidence comparing more than two interventions. A particular advantage of NMA over pairwise meta-analysis is its ability to simultaneously compare multiple interventions including comparisons not previously trialed together, permitting intervention hierarchies to be created. Our aim was to develop a novel graphical display to aid interpretation of NMA to clinicians and decision-makers that incorporates ranking of interventions. Study Design and Setting: Current literature was searched, scrutinized, and provided direction for developing the novel graphical display. Ranking results were often found to be misinterpreted when presented alone and, to aid interpretation and effective communication to inform optimal decision-making, need to be displayed alongside other important aspects of the analysis including the evidence networks and relative intervention effect estimates. Results: Two new ranking visualizations were developed-the 'Litmus Rank-O-Gram' and the 'Radial SUCRA' plot-and embedded within a novel multipanel graphical display programmed within the MetaInsight application, with user feedback gained. Conclusion: This display was designed to improve the reporting, and facilitate a holistic understanding, of NMA results. We believe uptake of the display would lead to better understanding of complex results and improve future decision-making. (c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:83 / 91
页数:9
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