Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults.

ABSTRACT:

Background

Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).

Methods

Models were identified through a systematic review and categorized by the target population and outcomes (hepatocellular carcinoma [HCC] and CLD). The performance of models to predict 10-year risk of CLD was assessed by discrimination (C-index) and calibration (observed vs predicted probabilies).

Results

The systematic review identified 57 articles and 114 models (28.4% undergone externa

SUBMITTER: Cong X 

PROVIDER: S-EPMC11686935 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature