Frampton Geoff, Whaley Paul, Bennett Micah, Bilotta Gary, Dorne Jean-Lou C M, Eales Jacqualyn, James Katy, Kohl Christian, Land Magnus, Livoreil Barbara, Makowski David, Muchiri Evans, Petrokofsky Gillian, Randall Nicola, Schofield Kate
Southampton Health Technology Assessments Centre (SHTAC), Faculty of Medicine, University of Southampton, Southampton, UK.
Lancaster Environment Centre, Lancaster University, Lancaster, UK.
Environ Evid. 2022;11. doi: 10.1186/s13750-022-00264-0. Epub 2022 Mar 29.
The internal validity of conclusions about effectiveness or impact in systematic reviews, and of decisions based on them, depends on risk of bias assessments being conducted appropriately. However, a random sample of 50 recently-published articles claiming to be quantitative environmental systematic reviews found 64% did not include any risk of bias assessment, whilst nearly all that did omitted key sources of bias. Other limitations included lack of transparency, conflation of quality constructs, and incomplete application of risk of bias assessments to the data synthesis. This paper addresses deficiencies in risk of bias assessments by highlighting core principles that are required for risk of bias assessments to be fit-for-purpose, and presenting a framework based on these principles to guide review teams on conducting risk of bias assessments appropriately and consistently. The core principles require that risk of bias assessments be Focused, Extensive, Applied and Transparent (FEAT). These principles support risk of bias assessments, appraisal of risk of bias tools, and the development of new tools. The framework follows a Plan-Conduct-Apply-Report approach covering all stages of risk of bias assessment. The scope of this paper is comparative quantitative environmental systematic reviews which address PICO or PECO-type questions including, but not limited to, topic areas such as environmental management, conservation, ecosystem restoration, and analyses of environmental interventions, exposures, impacts and risks.
关于系统评价中有效性或影响的结论的内部有效性,以及基于这些结论的决策的内部有效性,取决于是否适当地进行了偏倚风险评估。然而,对50篇最近发表的声称是定量环境系统评价的文章进行随机抽样发现,64%的文章未包括任何偏倚风险评估,而几乎所有进行了评估的文章都遗漏了关键的偏倚来源。其他局限性包括缺乏透明度、质量结构的混淆以及在数据合成中对偏倚风险评估的不完全应用。本文通过强调偏倚风险评估要达到适用目的所需的核心原则,以及提出一个基于这些原则的框架,来指导审查团队适当地、一致地进行偏倚风险评估,从而解决偏倚风险评估中的缺陷。这些核心原则要求偏倚风险评估要聚焦、全面、应用和透明(FEAT)。这些原则有助于偏倚风险评估、偏倚风险工具的评估以及新工具的开发。该框架遵循计划 - 实施 - 应用 - 报告的方法,涵盖偏倚风险评估的所有阶段。本文的范围是比较性定量环境系统评价,其解决PICO或PECO类型的问题,包括但不限于环境管理、保护、生态系统恢复等主题领域,以及对环境干预、暴露、影响和风险的分析。