Suppr超能文献

系统评价中预后研究质量的评估。

Evaluation of the quality of prognosis studies in systematic reviews.

作者信息

Hayden Jill A, Côté Pierre, Bombardier Claire

机构信息

Institute for Work and Health, University of Toronto, and Mount Sinai Hospital, Toronto, Ontario, Canada.

出版信息

Ann Intern Med. 2006 Mar 21;144(6):427-37. doi: 10.7326/0003-4819-144-6-200603210-00010.

Abstract

BACKGROUND

To provide valid assessments of answers to prognostic questions, systematic reviews must appraise the quality of the available evidence. However, no standard quality assessment method is currently available.

PURPOSE

To appraise how authors assess the quality of individual studies in systematic reviews about prognosis and to propose recommendations for these quality assessments.

DATA SOURCES

English-language publications listed in MEDLINE from 1966 to October 2005 and review of cited references.

STUDY SELECTION

163 systematic reviews about prognosis that included assessments of the quality of studies.

DATA EXTRACTION

A total of 882 distinct quality items were extracted from the assessments that were reported in the various reviews. Using an iterative process, 2 independent reviewers grouped the items into 25 domains. The authors then specifically identified domains necessary to assess potential biases of studies and evaluated how often those domains had been addressed in each review.

DATA SYNTHESIS

Fourteen of the domains addressed 6 sources of bias related to study participation, study attrition, measurement of prognostic factors, measurement of and controlling for confounding variables, measurement of outcomes, and analysis approaches. Reviews assessed a median of 2 of the 6 potential biases; only 2 (1%) included criteria aimed at appraising all potential sources of bias. Few reviews adequately assessed the impact of confounding (12%), although more than half (59%) appraised the methods used to measure the prognostic factors of interest.

LIMITATIONS

Reviews may have been missed by the search or misclassified because of incomplete reporting. Validity and reliability testing of the authors' recommendations are required.

CONCLUSIONS

Quality appraisal, a necessary step in systematic reviews, is incomplete in most reviews of prognosis studies. Adequate quality assessment should include judgments about 6 areas of potential study biases. Authors should incorporate these quality assessments into their synthesis of evidence about prognosis.

摘要

背景

为了对预后问题的答案进行有效的评估,系统评价必须评估现有证据的质量。然而,目前尚无标准的质量评估方法。

目的

评估作者在关于预后的系统评价中如何评估个体研究的质量,并为这些质量评估提出建议。

数据来源

1966年至2005年10月MEDLINE中列出的英文出版物以及对引用参考文献的回顾。

研究选择

163项关于预后的系统评价,其中包括对研究质量的评估。

数据提取

从各项评价中报告的评估中总共提取了882个不同的质量项目。通过迭代过程,2名独立评审员将这些项目分组为25个领域。作者随后具体确定了评估研究潜在偏倚所需的领域,并评估了每个评价中这些领域被涉及的频率。

数据综合

14个领域涉及与研究参与、研究损耗、预后因素的测量、混杂变量的测量和控制、结局的测量以及分析方法相关的6种偏倚来源。评价对6种潜在偏倚中的中位数为2种进行了评估;只有2项(1%)纳入了旨在评估所有潜在偏倚来源的标准。很少有评价充分评估混杂因素的影响(12%),尽管超过一半(59%)评估了用于测量感兴趣的预后因素的方法。

局限性

检索可能遗漏了一些评价,或者由于报告不完整而分类错误。需要对作者的建议进行有效性和可靠性测试。

结论

质量评估是系统评价的必要步骤,但在大多数预后研究评价中并不完整。充分的质量评估应包括对6个潜在研究偏倚领域的判断。作者应将这些质量评估纳入其关于预后的证据综合中。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验