Work

Guidelines for setting cut-off scores in AUC (AUC-GUIDE): balancing sensitivity, specificity, and purpose

Year: 2026

Type: article

Abstract: Determining ideal cut-off scores is a critical step in screening and diagnostic test evaluation. While the Area Under the Curve (AUC) with Receiver Operating Characteristic (ROC) curve are frequently reported, these do not directly indicate the best threshold for decision-making. In addition, pursuing an optimal solution might not always be practical. This paper presents a practical guideline for selecting cut-off scores based on AUC values in conjunction with sensitivity, specificity, and intended scientific use. The study outline recommended strategies for different AUC ranges, incorporating realistic considerations and scientific priorities. The framework offers flexibility, including when to prioritize sensitivity, specificity, or balanced performance via Youden's Index and other techniques. This guideline aims to support researchers and clinicians in making evidence-based, transparent, and context-sensitive decisions when interpreting screening or diagnostic accuracy results.

Source: Frontiers in Research Metrics and Analytics

DOI: 10.3389/frma.2026.1808675

Author: Mohamad Adam Bujang

Institutions: Ministry of Health, Sarawak General Hospital, National Institutes of Health

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,418