Rissling Olesja, Kaiser Laura, Schulz Sandra, Langer Gero, Schwingshackl Lukas
Abteilung Fachberatung Medizin, Gemeinsamer Bundesausschuss, Berlin, Deutschland.
Abteilung Fachberatung Medizin, Gemeinsamer Bundesausschuss, Berlin, Deutschland.
Z Evid Fortbild Qual Gesundhwes. 2021 Aug;164:79-89. doi: 10.1016/j.zefq.2021.05.003. Epub 2021 Jul 10.
To provide Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) guidance for assessing inconsistency, imprecision, and other domains for the certainty of evidence about the relative importance of outcomes.
We applied the GRADE domains to rate the certainty of evidence in the importance of outcomes to several systematic reviews, iteratively reviewed draft guidance, and consulted GRADE members and other stakeholders for feedback.
We describe the rationale for considering the remaining GRADE domains when rating the certainty in a body of evidence for the relative importance of outcomes. As meta-analyses are not common in this context, inconsistency and imprecision assessments are challenging. Furthermore, confusion exists about inconsistency, imprecision, and true variability in the relative importance of outcomes. To clarify this issue, we suggest that the true variability is neither equivalent to inconsistency nor imprecision. Specifically, inconsistency arises from population, intervention, comparison and outcome and methodological elements that should be explored and, if possible, explained. The width of the confidence interval and sample size inform judgments about imprecision. We also provide suggestions on how to detect publication bias and discuss the domains to rate up the certainty.
We provide guidance and examples for rating inconsistency, imprecision, and other domains for a body of evidence describing the relative importance of outcomes.
提供推荐分级、评估、制定与评价(GRADE)指南,以评估关于结局相对重要性的证据确定性中的不一致性、不精确性及其他领域。
我们应用GRADE领域对若干系统评价中结局重要性的证据确定性进行评级,反复审查指南草案,并咨询GRADE成员及其他利益相关者以获取反馈。
我们描述了在对结局相对重要性的一组证据的确定性进行评级时考虑其余GRADE领域的基本原理。由于在此背景下荟萃分析并不常见,不一致性和不精确性评估具有挑战性。此外,在结局相对重要性方面,对于不一致性、不精确性和真正的变异性存在混淆。为阐明此问题,我们建议真正的变异性既不等同于不一致性也不等同于不精确性。具体而言,不一致性源于人群、干预措施、对照和结局以及方法学要素,应予以探究并尽可能作出解释。置信区间的宽度和样本量为判断不精确性提供依据。我们还提供了关于如何检测发表偏倚的建议,并讨论了提高确定性评级的领域。
我们为描述结局相对重要性的一组证据的不一致性、不精确性及其他领域的评级提供了指南和示例。