Suppr超能文献

AMSTAR能否也应用于非随机研究的系统评价?

Can AMSTAR also be applied to systematic reviews of non-randomized studies?

作者信息

Pieper Dawid, Mathes Tim, Eikermann Michaela

机构信息

Institute for Research in Operative Medicine, Witten/Herdecke University, Ostmerheimer Str, 200, Building 38, D-51109 Cologne, Germany.

出版信息

BMC Res Notes. 2014 Sep 6;7:609. doi: 10.1186/1756-0500-7-609.

Abstract

BACKGROUND

There is a lack of an instrument to evaluate systematic reviews of non-randomized studies in epidemiological research. The Assessment of Multiple Systematic Reviews (AMSTAR) is widely used to evaluate the scientific quality of systematic reviews, but it has not been validated for SRs of non-randomized studies. The objective of this paper is to report our experience in applying AMSTAR to systematic reviews of non-randomized studies in terms of applicability, reliability and feasibility. Thus, we applied AMSTAR to a recently published review of 32 systematic reviews of non-randomized studies investigating the hospital volume-outcome relationship in surgery.

RESULTS

The inter-rater reliability was high (0.76), albeit items 8 (scientific quality used in formulating conclusions), 9 (appropriate method to combine studies), and 11 (conflicts of interest) scored moderate (≤0.58). However, there was a high heterogeneity between the two pairs of reviewers. In terms of feasibility, AMSTAR proved easy to apply to systematic reviews of non-randomized studies, each review taking 5-10 minutes to complete. We faced problems in applying three items, mainly related to scientific quality of the included studies.

CONCLUSIONS

AMSTAR showed good psychometric properties, comparable to prior findings in systematic reviews of randomized controlled trials. AMSTAR can be applied to systematic reviews of non-randomized studies, although there are some item specific issues users should be aware of. Revisions and extensions of AMSTAR might be helpful.

摘要

背景

在流行病学研究中,缺乏一种用于评估非随机研究系统评价的工具。多项系统评价评估(AMSTAR)被广泛用于评估系统评价的科学质量,但尚未针对非随机研究的系统评价进行验证。本文的目的是报告我们在将AMSTAR应用于非随机研究系统评价时在适用性、可靠性和可行性方面的经验。因此,我们将AMSTAR应用于最近发表的一篇综述,该综述对32项关于手术中医院规模与结局关系的非随机研究的系统评价进行了分析。

结果

评分者间信度较高(0.76),尽管第8项(制定结论时使用的科学质量)、第9项(合并研究的适当方法)和第11项(利益冲突)得分中等(≤0.58)。然而,两对评审员之间存在高度异质性。在可行性方面,AMSTAR被证明易于应用于非随机研究的系统评价,每项评价完成时间为5 - 10分钟。我们在应用三个项目时遇到了问题,主要与纳入研究的科学质量有关。

结论

AMSTAR显示出良好的心理测量特性,与随机对照试验系统评价的先前结果相当。AMSTAR可应用于非随机研究的系统评价,尽管有一些特定项目的问题用户应予以注意。对AMSTAR进行修订和扩展可能会有所帮助。

相似文献

引用本文的文献

6
7
Association between dry eye disease and depression: An umbrella review.干眼疾病与抑郁症之间的关联:伞式综述。
Front Public Health. 2022 Nov 17;10:910608. doi: 10.3389/fpubh.2022.910608. eCollection 2022.

本文引用的文献

4
Assessing bias in studies of prognostic factors.评估预后因素研究中的偏倚。
Ann Intern Med. 2013 Feb 19;158(4):280-6. doi: 10.7326/0003-4819-158-4-201302190-00009.
7
Overviews of reviews often have limited rigor: a systematic review.综述的概述通常严谨性有限:系统综述。
J Clin Epidemiol. 2012 Dec;65(12):1267-73. doi: 10.1016/j.jclinepi.2012.06.015. Epub 2012 Sep 6.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验