Department of Biostatistics and Epidemiology, Babol University of Medical Sciences, Babol, Iran.
Stat Methods Med Res. 2018 Aug;27(8):2374-2383. doi: 10.1177/0962280216680383. Epub 2017 Jul 4.
Introduction The choice of criteria in determining optimal cut-off value is a matter of concern in quantitative diagnostic tests. Several indexes such as Youden's index, Euclidean index, product of sensitivity and specificity in receiver operator characteristic space and diagnostic odds ratio have been used in clinical practices but their advantages and limitations are not well understood by clinicians. This study aimed to compare these methods in determining optimal cut-off values for quantitative diagnostic test. Methods The different configurations of binormal and bilogistic distributions with equal and unequal variances for nondiseased and diseased subjects were examined. The cut-off values with increment of 0.1 in Z-scale were varied. Then, the Youden's index, Euclidean index, product of sensitivity and specificity, and diagnostic odds ratio were calculated over various cut-off values under distributional assumptions with confirmed parameters. Results According to the obtained data from binormal model and equal variances, the optimal cut-off values derived from Youden's index, Euclidean index, and product method were similar but the diagnostic odds ratio yielded either extremely low or extremely high optimal cut-off value. For bilogistic pair distributions with equal variances, the Youden's, Euclidean indexes and product method resulted in an identical cut-off value but the diagnostic odds ratio was constant over various cut-points. By both binormal and bilogistic data with more variations in nondiseased population, the Youden's index produced a higher sensitive optimal cut-off value; but with more variation for diseased distribution, the Euclidean index showed a more sensitive optimal cut-off. For bilogistic data with unequal variance, the log(diagnostic odds ratio) had a straight line relationship over cut-off values with either positive or negative slope. Conclusion As a measure of association, diagnostic odds ratio cannot be informative in determining an optimal cut-off value. The advantage of receiver operator characteristic analysis to obtain the optimal cut-off value is to use Youden's index, Euclidean index, or product index which is recommended. The choice between them depends on variability of test results in diseased and nondiseased subjects and the desired sensitivity.
介绍 在定量诊断测试中,选择确定最佳截断值的标准是一个令人关注的问题。在临床实践中,已经使用了一些指标,如 Youden 指数、欧式距离指数、受试者工作特征空间中的敏感度和特异度乘积以及诊断比值比,但临床医生并不十分了解它们的优缺点。本研究旨在比较这些方法在确定定量诊断测试的最佳截断值方面的优缺点。
方法 分别检验了正态分布和双逻辑斯谛分布在非患病和患病个体的方差相等和不相等的不同组合情况。在 Z 尺度上以 0.1 的增量变化截断值。然后,在分布假设下,根据已确认的参数计算了不同截断值下的 Youden 指数、欧式距离指数、敏感度和特异度乘积以及诊断比值比。
结果 根据来自正态模型和等方差的获得的数据,Youden 指数、欧式距离指数和乘积法得出的最佳截断值相似,但诊断比值比得出的最佳截断值要么极低,要么极高。对于具有相等方差的双逻辑斯谛对分布,Youden、欧式距离指数和乘积法得出相同的截断值,但诊断比值比在不同的临界点上是恒定的。对于非患病人群中变异较大的正态和双逻辑斯谛数据,Youden 指数产生了更高敏感的最佳截断值;但对于患病分布的变异较大,欧式距离指数显示了更敏感的最佳截断值。对于具有不等方差的双逻辑斯谛数据,log(诊断比值比)在截断值上具有直线关系,无论是正斜率还是负斜率。
结论 作为关联的度量,诊断比值比在确定最佳截断值方面没有信息。获得最佳截断值的优势在于使用建议的 Youden 指数、欧式距离指数或乘积指数进行受试者工作特征分析。它们之间的选择取决于患病和非患病个体中测试结果的可变性以及所需的敏感性。