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慢性疼痛随机对照试验中分组分析的质量:一项方法学综述。

The quality of subgroup analyses in chronic pain randomized controlled trials: a methodological review.

作者信息

AminiLari Mahmood, Ashoorian Vahid, Caldwell Alexa, Rahman Yasir, Nieuwlaat Robby, Busse Jason W, Mbuagbaw Lawrence

机构信息

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Michael G. DeGroote Institute for Pain Research and Care, McMaster University, Hamilton, Ontario, Canada.

出版信息

Korean J Pain. 2021 Apr 1;34(2):139-155. doi: 10.3344/kjp.2021.34.2.139.

Abstract

The quality of subgroup analyses (SGAs) in chronic non-cancer pain trials is uncertain. The purpose of this study was to address this issue. We conducted a comprehensive search in MEDLINE and EMBASE from January 2012 to September 2018 to identify eligible trials. Two pairs of reviewers assessed the quality of the SGAs and the credibility of subgroup claims using the 10 criteria developed by Sun et al. in 2012. The associations between the quality of the SGAs and the studies' characteristics including risk of bias, funding sources, sample size, and the latest impact factor, were assessed using multivariable logistic regression. Our search retrieved 3,401 articles of which 66 were eligible. The total number of SGAs was 177 of which 52 (29.4%) made a subgroup claim. Of these, only 15 (8.5%) were evaluated as being of high quality. Among the 30 SGAs that claimed subgroup effects using an appropriate method of performing interaction tests, the credibility of only 5 were assessed as high. None of the subgroup claims met all the credibility criteria. No significant association was found between the quality of SGAs and the studies' characteristics. The quality of the SGAs performed in chronic pain trials was poor. To enhance the quality of SGAs, scholars should consider the developed criteria when designing and conducting trials, particularly those which need to be specified a .

摘要

慢性非癌性疼痛试验中亚组分析(SGAs)的质量尚不确定。本研究旨在解决这一问题。我们于2012年1月至2018年9月在MEDLINE和EMBASE中进行了全面检索,以确定符合条件的试验。两对评审员使用Sun等人在2012年制定的10条标准评估了亚组分析的质量和亚组结论的可信度。使用多变量逻辑回归评估亚组分析质量与研究特征(包括偏倚风险、资金来源、样本量和最新影响因子)之间的关联。我们的检索共获得3401篇文章,其中66篇符合条件。亚组分析的总数为177项,其中52项(29.4%)得出了亚组结论。其中,只有15项(8.5%)被评估为高质量。在30项使用适当的交互作用检验方法声称有亚组效应的亚组分析中,只有5项的可信度被评估为高。没有一项亚组结论符合所有可信度标准。未发现亚组分析质量与研究特征之间存在显著关联。慢性疼痛试验中进行的亚组分析质量较差。为提高亚组分析的质量,学者们在设计和开展试验时应考虑已制定的标准,尤其是那些需要明确规定的标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45a/8019964/7fc264c14569/kjp-34-2-139-f1.jpg

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