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本文引用的文献

1
Grey literature in meta-analyses of randomized trials of health care interventions.医疗保健干预随机试验的Meta分析中的灰色文献
Cochrane Database Syst Rev. 2007 Apr 18;2007(2):MR000010. doi: 10.1002/14651858.MR000010.pub3.
2
The case of the misleading funnel plot.误导性漏斗图的案例。
BMJ. 2006 Sep 16;333(7568):597-600. doi: 10.1136/bmj.333.7568.597.
3
Publication bias in situ.原位发表偏倚。
BMC Med Res Methodol. 2004 Aug 5;4:20. doi: 10.1186/1471-2288-4-20.
4
Assessing the quality of reports of systematic reviews in pediatric complementary and alternative medicine.评估儿科补充与替代医学系统评价报告的质量。
BMC Pediatr. 2002;2:3. doi: 10.1186/1471-2431-2-3. Epub 2002 Feb 27.
5
Publication and related bias in meta-analysis: power of statistical tests and prevalence in the literature.Meta分析中的发表偏倚及相关偏倚:统计检验效能与文献中的患病率
J Clin Epidemiol. 2000 Nov;53(11):1119-29. doi: 10.1016/s0895-4356(00)00242-0.
6
Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses?纳入灰色文献是否会影响荟萃分析中报告的干预效果估计?
Lancet. 2000 Oct 7;356(9237):1228-31. doi: 10.1016/S0140-6736(00)02786-0.
7
What contributions do languages other than English make on the results of meta-analyses?除英语之外的其他语言对荟萃分析结果有哪些贡献?
J Clin Epidemiol. 2000 Sep;53(9):964-72. doi: 10.1016/s0895-4356(00)00188-8.
8
Empirical assessment of effect of publication bias on meta-analyses.发表偏倚对荟萃分析影响的实证评估。
BMJ. 2000 Jun 10;320(7249):1574-7. doi: 10.1136/bmj.320.7249.1574.
9
Systematic reviews and meta-analyses on treatment of asthma: critical evaluation.关于哮喘治疗的系统评价和荟萃分析:批判性评估
BMJ. 2000 Feb 26;320(7234):537-40. doi: 10.1136/bmj.320.7234.537.
10
Assessing the quality of reports of randomised trials: implications for the conduct of meta-analyses.评估随机试验报告的质量:对荟萃分析实施的影响。
Health Technol Assess. 1999;3(12):i-iv, 1-98.

AMSTAR的开发:一种评估系统评价方法学质量的测量工具。

Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews.

作者信息

Shea Beverley J, Grimshaw Jeremy M, Wells George A, Boers Maarten, Andersson Neil, Hamel Candyce, Porter Ashley C, Tugwell Peter, Moher David, Bouter Lex M

机构信息

EMGO Institute, VU University Medical Center, Amsterdam, The Netherlands.

出版信息

BMC Med Res Methodol. 2007 Feb 15;7:10. doi: 10.1186/1471-2288-7-10.

DOI:10.1186/1471-2288-7-10
PMID:17302989
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1810543/
Abstract

BACKGROUND

Our objective was to develop an instrument to assess the methodological quality of systematic reviews, building upon previous tools, empirical evidence and expert consensus.

METHODS

A 37-item assessment tool was formed by combining 1) the enhanced Overview Quality Assessment Questionnaire (OQAQ), 2) a checklist created by Sacks, and 3) three additional items recently judged to be of methodological importance. This tool was applied to 99 paper-based and 52 electronic systematic reviews. Exploratory factor analysis was used to identify underlying components. The results were considered by methodological experts using a nominal group technique aimed at item reduction and design of an assessment tool with face and content validity.

RESULTS

The factor analysis identified 11 components. From each component, one item was selected by the nominal group. The resulting instrument was judged to have face and content validity.

CONCLUSION

A measurement tool for the 'assessment of multiple systematic reviews' (AMSTAR) was developed. The tool consists of 11 items and has good face and content validity for measuring the methodological quality of systematic reviews. Additional studies are needed with a focus on the reproducibility and construct validity of AMSTAR, before strong recommendations can be made on its use.

摘要

背景

我们的目标是在先前工具、实证证据和专家共识的基础上,开发一种用于评估系统评价方法学质量的工具。

方法

通过合并以下内容形成一个包含37个条目的评估工具:1)增强版综述质量评估问卷(OQAQ);2)萨克斯创建的一个清单;3)最近判定具有方法学重要性的另外三个条目。该工具应用于99篇纸质和52篇电子系统评价。采用探索性因子分析来识别潜在成分。方法学专家使用名义群体技术来考虑结果,旨在减少条目数量并设计一个具有表面效度和内容效度的评估工具。

结果

因子分析识别出11个成分。名义群体从每个成分中选择一个条目。最终得到的工具被判定具有表面效度和内容效度。

结论

开发了一种用于“评估多个系统评价”(AMSTAR)的测量工具。该工具由11个条目组成,在测量系统评价的方法学质量方面具有良好的表面效度和内容效度。在能够就其使用提出强有力的建议之前,需要开展更多侧重于AMSTAR的可重复性和结构效度的研究。