HCC risk stratification scores: insights from large multi-center national cohort study
Imam Waked, Gamal Esmat, Mohamed Abdallah, Aisha Elsharkawy, Wafaa Elakel, Islam Ammar, Ehab Kamal, Mohamed Hassany, Nabiel Mikhail, Riham Soliman, Wahid Doss, Gamal Shiha

TL;DR
This study compares different risk scores for predicting liver cancer in patients who cleared hepatitis C, finding one score more effective for guiding surveillance.
Contribution
The study identifies the GES score as the most accurate and clinically beneficial tool for HCC risk stratification in post-DAA patients.
Findings
The GES score showed the highest AUC (0.632) and best calibration for predicting HCC risk.
Decision curve analysis favored GES for its net clinical benefit in surveillance decisions.
Implementation of GES could reduce healthcare burden by enabling individualized HCC surveillance.
Abstract
Current guidelines advocate biannual HCC surveillance for chronic hepatitis C patients who achieved sustained virological response (SVR) following direct acting antivirals (DAAs), posing a heavy burden on healthcare systems. This study aimed to identify the most accurate and clinically useful risk stratification tool among patients who achieved SVR following DAAs in a large, multicenter national cohort. A retrospective study across 52 NCCVH centers in Egypt included 8,419 CHC patients with cirrhosis (F4) or advanced fibrosis (F3) who achieved SVR after DAAs and had complete follow-up data. Baseline data were used to calculate HCC risk scores (GES, aMAP, THRI, ALBI, FIB-4). Prognostic performance was assessed using Kaplan–Meier analysis, AUC, Harrell’s C-index, and Brier score with calibration plots. Decision curve analysis and Net Reclassification Improvement were applied to evaluate…
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Taxonomy
TopicsHepatitis C virus research · Liver Disease Diagnosis and Treatment · Hepatitis B Virus Studies
