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效应方向图:多个结果领域中未标准化效应的可视化展示。

The effect direction plot: visual display of non-standardised effects across multiple outcome domains.

作者信息

Thomson Hilary J, Thomas Sian

机构信息

MRC Social and Public Health Sciences Unit Glasgow, Scotland, G12 8RZ, UK.

出版信息

Res Synth Methods. 2013 Mar;4(1):95-101. doi: 10.1002/jrsm.1060. Epub 2012 Oct 12.

Abstract

Visual display of reported impacts is a valuable aid to both reviewers and readers of systematic reviews. Forest plots are routinely prepared to report standardised effect sizes, but where standardised effect sizes are not available for all included studies a forest plot may misrepresent the available evidence. Tabulated data summaries to accompany the narrative synthesis can be lengthy and inaccessible. Moreover, the link between the data and the synthesis conclusions may be opaque. This paper details the preparation of visual summaries of effect direction for multiple outcomes across 29 quantitative studies of the health impacts of housing improvement. A one page summary of reported health outcomes was prepared to accompany a 10 000-word narrative synthesis. The one page summary included details of study design, internal validity, sample size, time of follow-up, as well as changes in intermediate outcomes, for example, housing condition. This approach to visually summarising complex data can aid the reviewer in cross-study analysis and improve accessibility and transparency of the narrative synthesis where standardised effect sizes are not available. Copyright © 2012 John Wiley & Sons, Ltd.

摘要

对报告的影响进行可视化展示,对系统评价的审稿人和读者来说都是一项很有价值的辅助手段。森林图通常用于报告标准化效应量,但如果并非所有纳入研究都有标准化效应量,森林图可能会误代表现有证据。伴随叙述性综述的表格数据总结可能冗长且难以理解。此外,数据与综述结论之间的联系可能不清晰。本文详细介绍了对29项住房改善对健康影响的定量研究中的多个结果的效应方向进行可视化总结的过程。为一篇10000字的叙述性综述准备了一份报告健康结果的单页总结。该单页总结包括研究设计、内部效度、样本量、随访时间以及中间结果(如住房条件)的变化等细节。这种对复杂数据进行可视化总结的方法有助于审稿人进行跨研究分析,并在没有标准化效应量的情况下提高叙述性综述的可及性和透明度。版权所有© 2012约翰威立父子有限公司。

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