LEAST as a novel prediction model of hepatocellular carcinoma development in patients with chronic hepatitis B: a multi-center study.

ABSTRACT:

Background

Considering the heavy burden on healthcare resources owing to HBV infection and the broad feasibility of transient elastography techniques in China, we aimed to construct and corroborate a liver stiffness measure (LSM)-dictated prediction model concerning hepatocellular carcinoma (HCC) development among CHB patients.

Methods

A retrospective cohort study was conducted, involving 713 consecutive patients with CHB. These patients were randomly assigned to the derivation (n = 534) and internal validation (n = 179) cohorts, respectively. Variable selection was optimized using the least absolute shrinkage and selection operator (LASSO) regression and subsequent multivariate Cox regression analysis. A corresponding nomogram was built and compared regarding discrimination

SUBMITTER: Song J 

PROVIDER: S-EPMC12581542 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature