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诊断试验准确性研究:部分验证偏倚和基于检验结果的抽样。

Studies of diagnostic test accuracy: Partial verification bias and test result-based sampling.

机构信息

Epidemiology and Biostatistics, UCSF: University of California San Francisco, CA USA.

出版信息

J Clin Epidemiol. 2022 May;145:179-182. doi: 10.1016/j.jclinepi.2022.01.022. Epub 2022 Feb 3.

Abstract

BACKGROUND

Partial verification bias occurs in studies assessing the accuracy of existing diagnostic tests when a positive index test makes application of the reference standard more likely.

METHODS

This article first describes alternative sampling frames for a diagnostic test accuracy study then discusses partial verification bias.

RESULTS

One approach to avoiding partial verification bias is to apply the reference standard to all individuals who are positive on the index test and a random sample of those who are negative. Estimating sensitivity and specificity then requires adjusting for the sampling fraction in the test-negative group.

CONCLUSION

If a finding was already used to determine who should get the definitive test, one can't look at those who got the definitive test to determine the usefulness of the finding.

摘要

背景

在评估现有诊断测试准确性的研究中,如果阳性指标测试使参考标准的应用更有可能发生,则会出现部分验证偏差。

方法

本文首先描述了诊断测试准确性研究的替代抽样框架,然后讨论了部分验证偏差。

结果

避免部分验证偏差的一种方法是将参考标准应用于索引测试阳性的所有个体,以及索引测试阴性的个体的随机样本。然后,估计敏感性和特异性需要调整测试阴性组中的抽样分数。

结论

如果已经使用一个发现来确定谁应该接受明确的测试,就不能观察那些接受了明确测试的人来确定该发现的有用性。

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