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系统评价中的错误:以计算机断层扫描筛查肺癌为例。

Errors in systematic reviews: an example of computed tomography screening for lung cancer.

机构信息

aInstitute for Translational Epidemiology bTisch Cancer Institute cDepartment of Radiology, Mount Sinai School of Medicine, New York, New York, USA dDepartment of Diagnostic Imaging, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China eInternational Prevention Research Institute, Lyon, France.

出版信息

Eur J Cancer Prev. 2014 Jan;23(1):43-8. doi: 10.1097/CEJ.0b013e3283616290.

Abstract

Systematic reviews are utilized in evidence-based medicine and are increasingly being used to help guide standards, guidelines, and clinical practice. The National Lung Screening Trial results prompted such a review of lung cancer screening literature. The review was endorsed by five major medical societies. We aimed at assessing its accuracy. Two independent groups of two reviewers reviewed the systematic review, including its source literature. Errors were placed into three major categories and tabulated: (i) selection of studies, (ii) misrepresentation of published reports, and (iii) errors in calculation and rounding. A total of 151 errors were found. There were 13 errors in selection of studies, 124 errors due to misrepresentation of published reports, and 14 errors in calculations and rounding. The extent of these errors raises concern about the credibility of the conclusions of the recent lung cancer screening systematic review. A process that allows for a thorough checking of data included in systematic reviews should be established.

摘要

系统评价被应用于循证医学,并越来越多地被用于帮助指导标准、指南和临床实践。国家肺癌筛查试验的结果促使人们对肺癌筛查文献进行了这样的审查。该审查得到了五个主要医学协会的认可。我们旨在评估其准确性。两组独立的两名评审员审查了系统评价及其原始文献。错误被分为三大类并进行了列表记录:(i)研究选择,(ii)对已发表报告的错误表示,以及(iii)计算和舍入错误。共发现 151 个错误。研究选择中有 13 个错误,124 个错误是由于对已发表报告的错误表示,14 个错误是在计算和舍入过程中产生的。这些错误的程度引起了人们对最近的肺癌筛查系统评价结论可信度的关注。应该建立一个允许对系统评价中包含的数据进行彻底检查的过程。

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