Konstantinidis Menelaos, Stratton Catherine, Tsokani Sofia, Elliott Julian, Simmonds Mark, McGowan Jessie, Moher David, Tricco Andrea C, Veroniki Areti-Angeliki
Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
JBI Evid Synth. 2025 Mar 1;23(3):527-535. doi: 10.11124/JBIES-24-00279. Epub 2025 Jan 23.
The objective of this scoping review is to describe existing guidance documents or studies reporting on the conduct of meta-analyses in updated systematic reviews (USRs) or living systematic reviews (LSRs).
The rapid increase in the medical literature poses a substantial challenge in keeping systematic reviews up to date. In LSRs, a review is updated with a pre-specified frequency or when some other signalling criterion is triggered. While the LSR framework is well-established, there is uncertainty regarding the most appropriate methods for conducting repeated meta-analyses over time, which may result in sub-optimal decision-making.
Studies of any design (including commentaries, books, manuals) providing guidance on conducting meta-analysis in USRs or LSRs.
This review will use the JBI methodology for scoping reviews. We will search multiple medical bibliographic databases (Cochrane Library, Embase, ERIC, MEDLINE, JBI Evidence Synthesis , and PsycINFO), statistical and mathematics databases (COBRA, Current Index to Statistics, MathSciNet, Project Euclid Complete, and zbMATH), pre print archives (Arvix, BioRxiv, and MedRxiv), and unpublished (or gray) literature sources. Two reviewers will independently screen titles, abstracts, and full-text documents, and extract data. Characteristics of recommendations for meta-analysis in USRs and LSRs will be presented using descriptive statistics and categorized concepts.
Open Science Framework https://osf.io/9c27g.
本综述的目的是描述现有关于在更新的系统评价（USR）或动态系统评价（LSR）中进行Meta分析的指导文件或研究。
医学文献的迅速增加给保持系统评价的时效性带来了巨大挑战。在动态系统评价中，会按照预先设定的频率或在触发某些其他信号标准时对综述进行更新。虽然动态系统评价框架已确立，但对于随着时间推移进行重复Meta分析的最合适方法仍存在不确定性，这可能导致决策不够理想。
任何设计的研究（包括评论、书籍、手册），只要提供了关于在更新的系统评价或动态系统评价中进行Meta分析的指导。
本综述将采用循证卫生保健国际协作组（JBI）的综述方法。我们将检索多个医学文献数据库（Cochrane图书馆、Embase、教育资源信息中心（ERIC）、医学索引数据库（MEDLINE）、循证卫生保健国际协作组合成证据数据库（JBI Evidence Synthesis）和心理学文摘数据库（PsycINFO））、统计和数学数据库（综合生物医学研究文摘数据库（COBRA）、当前统计索引、数学科学网、欧几里得计划全集和数学文摘数据库（zbMATH））、预印本档案库（Arvix、生物预印本（BioRxiv）和医学预印本（MedRxiv））以及未发表（或灰色）文献来源。两名综述员将独立筛选标题、摘要和全文文档，并提取数据。将使用描述性统计和分类概念来呈现关于更新的系统评价和动态系统评价中Meta分析的推荐特征。
开放科学框架https://osf.io/9c27g。
