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诊断试验评估中的总结性受试者工作特征曲线分析技术。

Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests.

作者信息

Jones Catherine M, Athanasiou Thanos

机构信息

The National Heart and Lung Institute, Imperial College of Science, Technology, and Medicine, Department of Cardiothoracic Surgery, St Mary's Hospital, London, United Kingdom.

出版信息

Ann Thorac Surg. 2005 Jan;79(1):16-20. doi: 10.1016/j.athoracsur.2004.09.040.

DOI:10.1016/j.athoracsur.2004.09.040
PMID:15620907
Abstract

The number of studies in the literature using summary receiver operating characteristic (SROC) analysis of diagnostic accuracy is rising. The SROC is useful in many such meta-analyses, but is often poorly understood by clinicians, and its use can be inappropriate. The academic literature on this topic is not always easy to comprehend. Interpretation is therefore difficult. This report aims to explain the concept of SROC analysis, its advantages, disadvantages, indications, and interpretation for the cardiothoracic surgeon. We use a practical approach to show how SROC analysis can be applied to meta-analysis of diagnostic accuracy by using a contrived dataset of studies on virtual bronchoscopy in the diagnosis of airway lesions.

摘要

文献中使用诊断准确性的汇总受试者工作特征(SROC)分析的研究数量正在增加。SROC在许多此类荟萃分析中很有用,但临床医生往往对其理解不足,其使用可能并不恰当。关于这一主题的学术文献并不总是易于理解的。因此,解读起来很困难。本报告旨在向心胸外科医生解释SROC分析的概念、其优缺点、适用情况以及解读方法。我们采用一种实用的方法,通过使用一个关于虚拟支气管镜检查在气道病变诊断中的人为设定的研究数据集,展示如何将SROC分析应用于诊断准确性的荟萃分析。

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