荟萃分析
系统回顾
研究方法
质量(理念)
管理科学
梅德林
计算机科学
医学
环境卫生
政治学
工程类
人口
哲学
认识论
内科学
法学
作者
Manuel Marques‐Cruz,Rafael José Vieira,Daniel Martinho-Dias,José Pedro Barbosa,António Cardoso‐Fernandes,Francisco Franco-Pêgo,Paula Perestrelo,Sara Gil‐Mata,Tiago Taveira‐Gomes,José Miguel Pêgo,João Fonseca,Luís Filipe Azevedo,Bernardo Sousa‐Pinto
摘要
Abstract The number of published systematic reviews has increased over the last years, with a non-negligible proportion displaying methodological concerns. We aimed to develop and evaluate a tool to assess the reported methodological quality of medical systematic reviews. The developed tool (ReMarQ) consists of 26 dichotomous items. We applied an item response theory model to assess the difficulty and discrimination of the items and decision tree models to identify those items more capable of identifying systematic reviews with higher reported methodological quality. ReMarQ was applied to a representative sample of medical systematic reviews (excluding those published in the Cochrane Database of Systematic Reviews ) to describe their methodological quality and identify associated factors. We assessed 400 systematic reviews published between 2010 and 2020, of which 196 (49.0%) included meta-analysis. The most discriminative items were (i) conducting a risk of bias assessment, (ii) having a published protocol and (iii) reporting methods for solving disagreements. More recent systematic reviews (adjusted yearly RR=1.03; 95%CI=1.02 −1.04, p <0.001) and those with meta-analysis (adjusted RR=1.34; 95%CI=1.25 −1.43, p <0.001) were associated with higher reported methodological quality. Such an association was not observed with the journal impact factor. The items most frequently fulfilled were (i) reporting search dates, (ii) reporting bibliographic sources and (iii) searching multiple electronic bibliographic databases. ReMarQ, consisting of dichotomous items and whose application does not require subject content expertise, may be important (i) in supporting an efficient quality assessment of systematic reviews and (ii) as the basis of automated processes to support that assessment.
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