Development and evaluation of methods of clinical utility-based cut-point selection of diagnostic biomarkers: an analysis based on population-level parametric distributions of test results with application of clinical diagnostic data.

ABSTRACT:

Introduction

The cut-point selection of biomarkers based on clinical benefit of test results rather than accuracy-based is of interest for decision makers. We adapted the four methods of cut-point selection based on clinical utility of test results including Youden, Product, Union and the absolute difference of total utility with 2 times of AUC.

Methods

The population-based parametric pairs of distributions of test results comprising homoscedastic binormal model, non-homoscedastic binormal, bigamma and biexponential included in the study. For each pair of distributions for diseased and non-diseased the utility-based metrics of cut-point were calculated under different degrees of AUC and prevalence. The prevalence was varied from 0.01 to 0.05, 0.10, 0.30, and 0.50.

Results

SUBMITTER: Hassanzad M 

PROVIDER: S-EPMC12482875 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature