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一种用于酒精系统评价中数据展示的新图形方法:交互式收获图。

A Novel Graphical Method for Data Presentation in Alcohol Systematic Reviews: The Interactive Harvest Plot.

机构信息

Department of Psychological Medicine, University of Otago at Christchurch, Christchurch 8011, New Zealand.

Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3053, Australia.

出版信息

Alcohol Alcohol. 2022 Jan 8;57(1):16-25. doi: 10.1093/alcalc/agaa145.

Abstract

AIMS

To demonstrate a novel method for presenting and exploring data in systematic reviews of the alcohol literature.

METHODS

Harvest plots are a graphical method for displaying data on the overall pattern of evidence from a systematic review. They can display the direction of effects and risk of bias within studies for multiple outcomes in a single graphical chart. Using data from our previous meta-analysis on the association between personality disorder and alcohol treatment outcome, we extended the application of harvest plots by developing an interactive online harvest plot application.

RESULTS

Studies included in the review were heterogeneous in design. There were many different primary outcomes, and similar outcomes were often defined differently across studies. The interactive harvest plot allows readers to explore trends in the data across multiple outcomes, including the impact of within-study bias and year of publication. In contrast, meta-analysis on the same data was hampered by a lack of consistency in the way outcomes were measured, and incomplete reporting of effect sizes and their variance. This meant many studies included in the systematic review could not be meta-analysed.

CONCLUSIONS

Interactive harvest plots are a novel graphical method to present data from systematic reviews. They can supplement or even replace meta-analysis when the studies included in a systematic review use heterogeneous designs and measures, as is often the case in the alcohol literature.

摘要

目的

展示一种新颖的方法,用于呈现和探索酒精文献系统评价中的数据。

方法

收获图是一种显示系统评价中整体证据模式的数据的图形方法。它们可以在单个图形图表中显示多个结局的研究内效应方向和偏倚风险。利用我们之前关于人格障碍与酒精治疗结果之间关联的荟萃分析数据,我们通过开发交互式在线收获图应用程序扩展了收获图的应用。

结果

综述中纳入的研究在设计上存在异质性。有许多不同的主要结局,并且相似的结局在不同研究中通常有不同的定义。交互式收获图允许读者探索多个结局数据中的趋势,包括研究内偏倚和出版年份的影响。相比之下,对相同数据的荟萃分析受到测量结局方式缺乏一致性以及效应大小及其方差的不完全报告的阻碍。这意味着系统评价中纳入的许多研究无法进行荟萃分析。

结论

交互式收获图是一种新颖的图形方法,用于呈现系统评价中的数据。当系统评价中纳入的研究采用异质设计和测量时,交互式收获图可以补充甚至替代荟萃分析,这种情况在酒精文献中经常出现。

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