A simple framework to identify optimal cost-effective risk thresholds for a single screen: Comparison to Decision Curve Analysis.

ABSTRACT: Decision Curve Analysis (DCA) is a popular approach for assessing biomarkers and risk models, but does not require costs and thus cannot identify optimal risk thresholds for actions. Full decision analyses can identify optimal thresholds, but typically used methods are complex and often difficult to understand. We develop a simple framework to calculate the Incremental Net Benefit for a single-time screen as a function of costs (for tests and treatments) and effectiveness (life-years gained). We provide simple expressions for the optimal cost-effective risk-threshold and, equally importantly, for the monetary value of life-years gained associated with the risk-threshold. We consider the controversy over the risk-threshold to screen women for mutations in BRCA1/2. Importantly, most,

SUBMITTER: Katki HA 

PROVIDER: S-EPMC9190212 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature