A comparison of C/B ratios from studies using receiver operating characteristic curve analysis

被引:180
作者
Cantor, SB
Sun, CC
Tortolero-Luna, G
Richards-Kortum, R
Follen, M
机构
[1] Univ Texas, MD Anderson Canc Ctr, Dept Internal Med Special, Sect Gen Internal Med, Houston, TX 77030 USA
[2] Univ Texas, Dept Gynecol Oncol, Houston, TX 77030 USA
[3] Univ Texas, Dept Elect & Comp Engn, Austin, TX USA
基金
美国国家科学基金会;
关键词
ROC curve; sensitivity and specificity; decision support techniques; routine diagnostic tests; laboratory diagnosis; cost-benefit analysis;
D O I
10.1016/S0895-4356(99)00075-X
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
In receiver operating characteristic (ROC) curve analysis, the optimal cutoff value for a diagnostic test can be found on the ROC curve where the slope of the curve is equal to (C/B) X (1-p[D])/p[D], where p[D] is the disease prevalence and C/B is the ratio of net costs of treating nondiseased individuals to net benefits of treating diseased individuals: We conducted a structured review of the medical literature to examine C/B ratios found in ROC curve analysis. Only two studies were found in which a C/B ratio was explicitly calculated; in another 11 studies, a C/B ratio was based on a sa called holistic estimate, an all-encompassing educated estimate of the relative costs and benefits relevant to the clinical situation. The C/B ratios ranged from 0.0025 (tuberculosis screening) to 2.7 (teeth restoration for carious lesions). Clinical scenarios that are directly life threatening but curable had C/B ratios of less than 0.05. This analysis led us to construct a table of ordered C/B ratios that may be used by investigators to approximate C/B ratios for other clinical situations in order to establish cutpoints for new diagnostic tests. J CLIN EPIDEMIOL 52;9:885-892, 1999. (C) 1999 Elsevier Science Inc.
引用
收藏
页码:885 / 892
页数:8
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