Unknown

Dataset Information

External validation of models to predict hepatocellular carcinoma in Hepatitis C Virus cured F3-F4 patients.


ABSTRACT:

Background & aims

Several hepatocellular carcinoma (HCC) risk-models have been developed to individualise patient surveillance following sustained viral response (SVR) in Hepatitis C Virus patients. Validation of these models in different cohorts is an important step to incorporate a more personalised risk assessment in clinical practice. We aimed at applying these models to stratify the risk in our patients and potentially determine cost-saving associated with individualised HCC risk-stratification screening strategy.

Methods

Patients with baseline F3-4 fibrosis treated with new oral direct-acting antivirals who had reached a SVR were regularly followed as part of the HCC surveillance strategy. Six models were applied: Pons, aMAP, Ioannou, HCC risk, Alonso and Semmler. Vali

SUBMITTER: Carvalho-Gomes A 

PROVIDER: S-EPMC11497648 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature