Point-based risk score for the risk stratification and prediction of hepatocellular carcinoma: a population-based random survival forest modeling study.

ABSTRACT:

Background

The precise associations between common clinical biomarkers and hepatocellular carcinoma (HCC) risk remain unclear but hold valuable insights for HCC risk stratification and prediction.

Methods

We examined the linear and nonlinear associations between the baseline levels of 32 circulating biomarkers and HCC risk in the England cohort of UK Biobank (UKBB) (n = 397,702). The participants were enrolled between 2006 and 2010 and followed up to 31st October 2022. The primary outcome is incident HCC cases. We then employed random survival forests (RSF) to select the top ten most informative biomarkers, considering their association with HCC, and developed a point-based risk score to predict HCC. The performance of the risk score was evaluated in three validation sets in

SUBMITTER: Liu Z 

PROVIDER: S-EPMC11388332 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature