Ten tips for successful assessment of risk of bias in randomized trials using the RoB 2 tool: Early lessons from Cochrane

Theresa H. M. Moore, Julian P. T. Higgins, Kerry Dwan
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Abstract

Introduction

RoB 2 is a tool used by systematic reviewers to assess risk of bias in randomized trials. Over a period of 19 months working as editors for Cochrane, we saw many instances where users of RoB 2 frequently applied the tool in ways the developers had not intended, despite availability of detailed guidance, webinars and FAQs.

Methods

In this paper we highlight the ten main issues that we observed, with the aims of optimising the application of the RoB 2 tool, avoiding some of the frequent misapplications of the tool.

Results

Issues noted included failure to state an effect of interest, applying the tool to an entire study rather than to a specific numerical result, omitting key signaling questions and relying on outdated views of causes of bias.

Conclusion

Such omissions and misapplications can lead to overly harsh or lenient assessments of bias with potential to change the confidence we have in an evidence base of randomized trials. We recommend that teams planning to use RoB 2 include at least one member familiar with the RoB 2 detailed guidance and that they use the free resources, such as webinars and FAQs, from the developers of RoB 2 and Cochrane. Our ten tips should be useful to non-Cochrane systematic reviewers as well as to peer reviewers and editors in Cochrane and other journals.

Abstract Image

使用RoB 2工具成功评估随机试验偏倚风险的十个提示:来自Cochrane的早期经验
RoB 2是系统审稿人用来评估随机试验偏倚风险的工具。在作为Cochrane编辑的19个月里,我们看到很多例子,RoB 2的用户经常以开发者意想不到的方式使用该工具,尽管有详细的指导、网络研讨会和常见问题解答。在本文中,我们强调了我们观察到的十个主要问题,目的是优化罗布2工具的应用,避免工具的一些频繁误用。注意到的问题包括未能说明感兴趣的影响,将工具应用于整个研究而不是特定的数字结果,忽略关键的信号问题以及依赖于过时的偏见原因观点。这样的遗漏和误用可能导致过于苛刻或宽松的偏倚评估,有可能改变我们对随机试验证据基础的信心。我们建议计划使用RoB 2的团队包括至少一名熟悉RoB 2详细指导的成员,并且他们使用RoB 2和Cochrane开发人员提供的免费资源,例如网络研讨会和faq。我们的十条建议应该对非Cochrane系统审稿人以及Cochrane和其他期刊的同行审稿人和编辑有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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