School of Medicine and Health Sciences, Department of Health Services Research, Carl von Ossietzky University Oldenburg, Oldenburg, Germany.
School of Medicine and Health Sciences, Department of Health Services Research, Carl von Ossietzky University Oldenburg, Oldenburg, Germany; Nursing Research Group, Institute of Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany.
J Clin Epidemiol. 2020 Mar;119:92-99. doi: 10.1016/j.jclinepi.2019.12.003. Epub 2019 Dec 3.
The objective of this study was to assess reporting and methodological aspects of systematic reviews (SRs) on prevalence and cumulative incidence data.
We searched PubMed up to 18 April, 2018, and drew a random sample of eligible SRs.
The included 215 SRs were reported in 187 different journals. 58.1% were published between 2015 and 2018. Few SRs were registered with PROSPERO (5.6%). One-quarter considered articles without languages restrictions (25.1%). Regional restrictions of included studies were applied in 22.8%. A meta-analysis was carried out in 40.5% of the SRs. One hundred and six studies (49.3%) assessed risk of bias or study quality. A total of 41 different existing tools as well as 15 tools developed by the authors themselves were used. The most commonly applied tools were the Newcastle-Ottawa Scale (15.1%), STROBE (13.5%), and the Cochrane Collaboration's tool for assessing risk of bias (7.9%).
We found large heterogeneity in characteristics, reporting, and methodological aspects of SRs on prevalence and cumulative incidence data, especially when compared with other types of SRs. Newly developed or revised guidance on how to conduct and report SRs as well as instruments for critical appraisal should consider the diversity of review types.
本研究旨在评估针对患病率和累积发病率数据的系统评价(SR)的报告和方法学方面。
我们在 2018 年 4 月 18 日之前在 PubMed 上进行了检索,并抽取了合格的 SR 随机样本。
纳入的 215 篇 SR 发表在 187 种不同的期刊上。58.1%的 SR 发表于 2015 年至 2018 年期间。仅有 5.6%的 SR 在 PROSPERO 上进行了注册。四分之一的 SR 没有语言限制(25.1%)。22.8%的 SR 对纳入研究施加了地域限制。40.5%的 SR 进行了荟萃分析。106 项研究(49.3%)评估了偏倚风险或研究质量。共使用了 41 种不同的现有工具和 15 种作者自行开发的工具。最常应用的工具是纽卡斯尔-渥太华量表(15.1%)、STROBE(13.5%)和 Cochrane 协作风险偏倚评估工具(7.9%)。
我们发现,针对患病率和累积发病率数据的 SR 在特征、报告和方法学方面存在很大的异质性,尤其是与其他类型的 SR 相比。关于如何进行和报告 SR 以及评估工具的新开发或修订指南应考虑到审查类型的多样性。