ArticleOncoTargets and therapy2013
Transient elastography-based risk estimation of hepatitis B virus-related occurrence of hepatocellular carcinoma: development and validation of a predictive model.
Article in OncoTargets and therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults.BMC medicine · 2024Pooled it
- KASL clinical practice guidelines for noninvasive tests to assess liver fibrosis in chronic liver disease.Clinical and molecular hepatology · 2024Guideline
- Liver Elastography Methods for Diagnosis of De Novo and Recurrent Hepatocellular Carcinoma.Diagnostics (Basel, Switzerland) · 2025Review
- Current and new strategies for hepatocellular carcinoma surveillance.Gastroenterology report · 2025Review
- Novel integrative models to predict the severity of inflammation and fibrosis in patients with drug-induced liver injury.Frontiers in medicine · 2025Article
- [Non-Invasive Test for Assessment of Liver Fibrosis in Chronic Hepatitis B].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2024Review
- Hepatocellular Carcinoma Risk Scores from Modeling to Real Clinical Practice in Areas Highly Endemic for Hepatitis B Infection.Journal of clinical and translational hepatology · 2023Review
- The best predictive model for hepatocellular carcinoma in patients with chronic hepatitis B infection.Clinical and molecular hepatology · 2022Review
- Review
- Noninvasive Assessment of Hepatitis C Virus Infected Patients Using Vibration-Controlled Transient Elastography.Journal of clinical medicine · 2021Review
- Review
- Review
- Non-invasive tests for the prediction of primary hepatocellular carcinoma.World journal of gastroenterology · 2020Review
- Liver Cirrhosis, Not Antiviral Therapy, Predicts Clinical Outcome in Cohorts with Heterogeneous Hepatitis B Viral Status.Gut and liver · 2019Article
- Combination of Transient Elastography and an Enhanced Liver Fibrosis Test to Assess the Degree of Liver Fibrosis in Patients with Chronic Hepatitis B.Gut and liver · 2018Article
- Quantitative Elastography Methods in Liver Disease: Current Evidence and Future Directions.Radiology · 2018Review
- Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update.Hepatology international · 2017Review
- Prediction models of hepatocellular carcinoma development in chronic hepatitis B patients.World journal of gastroenterology · 2016Review
- Prediction and prophylaxis of hepatocellular carcinoma occurrence and postoperative recurrence in chronic hepatitis B virus-infected subjects.World journal of gastroenterology · 2016Article
- Critical comparison of elastography methods to assess chronic liver disease.Nature reviews. Gastroenterology & hepatology · 2016Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this study was to develop and validate a novel transient elastography-based predictive model for occurrence of hepatocellular carcinoma (HCC).
methodsA total of 1,250 patients with chronic hepatitis B and baseline liver stiffness values were recruited between May 2005 and December 2007. The predictive model for HCC occurrence was constructed based on a Cox proportional hazards model. We estimated baseline disease-free probabilities at 3 years. Discrimination and calibration were used to validate the model.
resultsHCC occurred in 56 patients during a median follow-up of 30.7 months. Multivariate analysis revealed that age, male gender, and liver stiffness values were independent predictors of HCC (all P<0.05), whereas hepatitis B virus DNA ≥20,000 IU/L showed borderline statistical significance (P=0.0659). We developed a predictive model for HCC using these four variables, which showed good discrimination capability, with an area under the receiver operating characteristic curve (AUROC) of 0.806 (95% confidence interval 0.738-0.874). We used the bootstrap method to assess discrimination. The AUROC remained largely unchanged between iterations, with an average value of 0.802 (95% confidence interval 0.791-0.812). The predicted risk of occurrence of HCC calibrated well with the observed risk, with a correlation coefficient of 0.905 (P<0.001).
conclusionThis novel model accurately estimated the risk of HCC occurrence in patients with chronic hepatitis B.
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