Unknown

Dataset Information

Nomogram for predicting 5-year metabolic dysfunction-associated steatotic liver disease risk: retrospective cohort study.


ABSTRACT:

Objective

To create a nomogram-based model to estimate the Chinese population's 5-year risk of metabolic dysfunction-associated steatotic liver disease (MASLD).

Methods

We randomly divided 7582 participants into two groups in a 7:3 ratio: one group was assigned to work with the training set, which consisted of 5307 cases, and the other group was assigned to validate the model using 2275 cases. The least absolute shrinkage and selection operator model was employed to ascertain the variables with the highest correlation among all potential variables. A logistic model was constructed by incorporating these selected variables, which were subsequently visualized using a nomogram. The discriminatory ability, calibration, and clinical utility of the model were assessed using the re

SUBMITTER: Gao L 

PROVIDER: S-EPMC11301545 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature