The value of time-dependent risk predictions in a screening context - a comprehensive simulation analysis validated on German cancer registry data.

ABSTRACT:

Background

Risk-prediction tools allow classifying individuals into risk groups based on risk thresholds. Such risk categorization is often used to inform screening schemes by offering screening only to individuals at increased risk of harmful events. Adding information concerning an individual's risk development over time would allow assessing not just who to screen but also when to screen. This paper illustrates the value of personalised, time-dependent risk predictions to optimize risk-based screening schemes.

Methods

In a simulation analysis, two different time-dependent risk-based screening approaches are compared to another risk-based, but time-independent approach regarding their impact on screening efficiency. For this purpose, 81 scenarios featuring 5000 patients wi

SUBMITTER: Voelkel V 

PROVIDER: S-EPMC9464381 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature