School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
BMJ Open. 2018 Mar 14;8(3):e019703. doi: 10.1136/bmjopen-2017-019703.
Several scales, checklists and domain-based tools for assessing risk of reporting biases exist, but it is unclear how much they vary in content and guidance. We conducted a systematic review of the content and measurement properties of such tools.
We searched for potentially relevant articles in Ovid MEDLINE, Ovid Embase, Ovid PsycINFO and Google Scholar from inception to February 2017. One author screened all titles, abstracts and full text articles, and collected data on tool characteristics.
We identified 18 tools that include an assessment of the risk of reporting bias. Tools varied in regard to the type of reporting bias assessed (eg, bias due to selective publication, bias due to selective non-reporting), and the level of assessment (eg, for the study as a whole, a particular result within a study or a particular synthesis of studies). Various criteria are used across tools to designate a synthesis as being at 'high' risk of bias due to selective publication (eg, evidence of funnel plot asymmetry, use of non-comprehensive searches). However, the relative weight assigned to each criterion in the overall judgement is unclear for most of these tools. Tools for assessing risk of bias due to selective non-reporting guide users to assess a study, or an outcome within a study, as 'high' risk of bias if no results are reported for an outcome. However, assessing the corresponding risk of bias in a synthesis that is missing the non-reported outcomes is outside the scope of most of these tools. Inter-rater agreement estimates were available for five tools.
There are several limitations of existing tools for assessing risk of reporting biases, in terms of their scope, guidance for reaching risk of bias judgements and measurement properties. Development and evaluation of a new, comprehensive tool could help overcome present limitations.
有几种评估报告偏倚风险的量表、清单和基于领域的工具,但它们在内容和指导方面的差异尚不清楚。我们对这些工具的内容和测量特性进行了系统评价。
我们在 Ovid MEDLINE、Ovid Embase、Ovid PsycINFO 和 Google Scholar 中检索了从创建到 2017 年 2 月的潜在相关文章。一名作者筛选了所有标题、摘要和全文文章,并收集了工具特征的数据。
我们确定了 18 种包含报告偏倚风险评估的工具。这些工具在评估的报告偏倚类型(例如,选择性发表偏倚、选择性不报告偏倚)和评估水平(例如,整个研究、研究内特定结果或研究综合特定结果)方面存在差异。不同的工具使用各种标准来指定由于选择性发表而导致的综合结果存在偏倚的风险(例如,漏斗图不对称的证据、使用不全面的检索)。然而,对于这些工具中的大多数来说,在整体判断中分配给每个标准的相对权重并不清楚。评估由于选择性不报告导致的偏倚风险的工具指导用户如果某个结果没有报告,则将研究或研究内的某个结果评估为存在偏倚的高风险。然而,在大多数情况下,这些工具都没有评估在缺失未报告结果的综合结果中存在的相应偏倚风险。有五个工具提供了评估者间一致性的估计值。
在评估报告偏倚风险方面,现有的工具存在一些局限性,包括其范围、做出偏倚判断的指导和测量特性。开发和评估新的、全面的工具可以帮助克服目前的局限性。