A Value-of-Information Framework for Personalizing the Timing of Surveillance Testing.

ABSTRACT:

Background

Patient surveillance using repeated biomarker measurements presents an opportunity to detect and treat disease progression early. Frequent surveillance testing using biomarkers is recommended and routinely conducted in several diseases, including cancer and diabetes. However, frequent testing involves tradeoffs. Although surveillance tests provide information about current disease status, the complications and costs of frequent tests may not be justified for patients who are at low risk of progression. Predictions based on patients' earlier biomarker values may be used to inform decision making; however, predictions are uncertain, leading to decision uncertainty.

Methods

We propose the Personalized Risk-Adaptive Surveillance (PRAISE) framework, a novel method for

SUBMITTER: Bansal A 

PROVIDER: S-EPMC9007840 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature