Puljak Livia, Parmelli Elena, Capobussi Matteo, Gonzalez-Lorenzo Marien, Squizzato Alessandro, Moja Lorenzo, Riva Nicoletta
Center for Evidence-Based Medicine and Health Care, Catholic University of Croatia, Zagreb, Croatia.
Department of Epidemiology, Lazio Region-ASL Roma 1, Rome, Italy.
Front Res Metr Anal. 2022 Apr 15;7:849019. doi: 10.3389/frma.2022.849019. eCollection 2022.
Overlapping systematic reviews (SRs) are increasingly frequent in the medical literature. They can easily generate discordant evidence, as estimates of effect sizes and their interpretation might differ from one source to another.
To analyze how methodologists and clinicians make a decision when faced with discordant evidence formalized in structured tables.
We conducted a 16-item survey exploring how methodologists and clinicians would react when presented with multiple Summary of Findings (SoF) tables (generated using the GRADE tool) derived from 4 overlapping and discordant SRs and meta-analyses on thrombolytic therapy for intermediate-risk pulmonary embolism. SoF tables reported 4 different magnitudes of effects and overall certainty. Participants were asked to provide their recommendations regarding the intervention and the reasons behind their conclusion.
Of the 80 invitees, 41 (51%) participated. The majority described themselves as "somewhat familiar" or experts with SoF tables. The majority recommended the therapy (pharmacological systemic thrombolysis), grading the recommendation as weak positive. Certainty of evidence and benefit-risk balance were the two criteria that prevailed in generating the recommendation. When faced with overlapping meta-analyses, the preferred approach was to use only high-quality SRs and exclude redundant SRs. Several participants suggested integrating the SoF tables with additional information, such as a more comprehensive evaluation of the risk of bias of systematic reviews (71%), heterogeneity/inconsistency (68%) and studies included within each SR (62%).
When faced with multiple controversial SR results, the type and completeness of reported information in SoF tables affect experts' ability to make recommendations. Developers of the SoF table should consider collating key information from overlapping and potentially discordant reviews.
重叠的系统评价(SRs)在医学文献中越来越常见。它们很容易产生不一致的证据,因为效应大小的估计及其解释可能因来源而异。
分析方法学家和临床医生在面对以结构化表格形式呈现的不一致证据时如何做出决策。
我们进行了一项包含16个条目的调查,探讨方法学家和临床医生在面对从4项关于中危肺栓塞溶栓治疗的重叠且不一致的SRs和荟萃分析中得出的多个结果总结(SoF)表格时的反应。SoF表格报告了4种不同的效应大小和总体确定性。参与者被要求提供关于干预措施的建议以及他们得出结论的原因。
在80名受邀者中,41名(51%)参与了调查。大多数人表示自己对SoF表格“有些熟悉”或为专家。大多数人推荐该治疗方法(药物全身溶栓),将推荐等级评为弱阳性。证据的确定性和获益 - 风险平衡是做出推荐时占主导地位的两个标准。当面对重叠的荟萃分析时,首选方法是仅使用高质量的SRs并排除冗余的SRs。几位参与者建议将SoF表格与其他信息相结合,例如对系统评价的偏倚风险(71%)、异质性/不一致性(68%)以及每个SR中纳入的研究(62%)进行更全面的评估。
当面对多个有争议的SR结果时,SoF表格中报告信息的类型和完整性会影响专家做出推荐的能力。SoF表格的开发者应考虑整理来自重叠且可能不一致的评价的关键信息。