Quantifying the potential benefits of early detection for pancreatic cancer through a counterfactual simulation modeling analysis.

ABSTRACT: The benefits of cancer early detection depend on various factors, including cancer type, screening method performance, stage at diagnosis, and subsequent treatment. Although numerous studies have evaluated the effectiveness of screening interventions for identifying cancer at earlier stages, there is no quantitative analysis that studies the optimal early detection time interval that results in the greatest mortality benefit; such data could serve as a target and benchmark for cancer early detection strategies. In this study, we focus on pancreatic ductal adenocarcinoma (PDAC), a cancer known for its lack of early symptoms. Consequently, it is most often detected at late stages when the 5-year survival rate is only 3%. We developed a PDAC population model that simulates an individual patie

SUBMITTER: Park J 

PROVIDER: S-EPMC10654404 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature