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Building a Tool to Predict Liver Cancer Risk in Chronic Hepatitis B

Builds a model to predict liver cancer risk in adults with hepatitis B.

Plain-language title generated from the registry record
Registry title: HCC Risk Prediction Model Based on Multimodal Data in Chronic Hepatitis B

Key facts

Where
Beijing, ChinaSee the site

Where in China

  • Beijing Friendship Hospital, Capital Medical UniversityBeijing, ChinaNo longer taking part

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Trial details

Who runs it
Beijing Friendship Hospital
Trial code
NCT07780357
Record updated
28 August 2026
Original description
The investigators propose to construct and validate an early HCC risk prediction model in a multicenter retrospective cohort of hepatitis B-related fibrosis/cirrhosis patients, using multimodal data encompassing longitudinal clinical data, serum glycomics profiles, and liver biopsy histopathological images.Read full original descriptionShow less

Development and Application of an HCC Risk Prediction Model Based on Multimodal Data in Chronic Hepatitis B

The investigators propose to construct and validate an early HCC risk prediction model in a multicenter retrospective cohort of hepatitis B-related fibrosis/cirrhosis patients, using multimodal data encompassing longitudinal clinical data, serum glycomics profiles, and liver biopsy histopathological images.

Inclusion: Aged ≥18 years, both sexes eligible; Diagnosed with hepatitis B-related liver fibrosis or cirrhosis based on clinical assessment or liver histopathology; Undergoing antiviral treatment; Follow-up duration between 0.5- 5 years; Availability of baseline data and at least two longitudinal follow-up visits; Clinical outcomes during the follow-up period are traceable.

Exclusion: Diagnosis of Hepatocellular carcinoma (HCC) or liver transplantation at baseline or within 6 months after baseline/enrollment; Coexisting other chronic liver diseases, such as genetic/metabolic liver diseases, drug-induced liver injury, or severe steatotic liver disease; Coexisting other malignancies (except those considered cured).

ClinicalTrials.gov NCT07780357