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Dataset Information

Individual surveillance by competing risk model for patients with hepatocellular carcinoma occurrence in all-cause cirrhosis.


ABSTRACT:

Purpose

It was of great significance to identify someone with a high risk of hepatocellular carcinoma (HCC) occurrence and make a diagnosis as early as possible. Therefore, we aimed to develop and validate a new, objective, and accurate prediction model, and convert it into a nomogram to make a personalized prediction of cancer occurrence in cirrhotic patients with different etiologies.

Methods

The present study included 938 patients with cirrhosis from January 1, 2011, to December 31, 2012. Patients were prospectively followed-up until January 1, 2018. We used a competing risk model and the Fine-Gray test to develop and validate the prediction model and to plot a nomogram based on the model established.

Results

At the end of follow-up, 202 (21.5%) patients developed

SUBMITTER: Wang Q 

PROVIDER: S-EPMC10587216 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature