NCT07780357

Brief Summary

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.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,000

participants targeted

Target at P75+ for all trials

Timeline
29mo left

Started Aug 2026

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress1%
Aug 2026Dec 2028

First Submitted

Initial submission to the registry

August 19, 2026

Completed
1 day until next milestone

Study Start

First participant enrolled

August 20, 2026

Completed
1 day until next milestone

First Posted

Study publicly available on registry

August 21, 2026

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 31, 2027

Expected
1.3 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2028

Last Updated

August 28, 2026

Status Verified

August 1, 2026

Enrollment Period

1 year

First QC Date

August 19, 2026

Last Update Submit

August 26, 2026

Conditions

Keywords

HCCRisk Prediction ModelMultimodal DataArtificial IntelligenceChronic Hepatitis B

Outcome Measures

Primary Outcomes (1)

  • To evaluate the predictive performance of an early-stage HCC risk prediction model integrating longitudinal clinical data and serum glycomics biomarkers in patients with hepatitis B-related fibrosis

    Evaluation metrics include AUROC, sensitivity, specificity, positive predictive value, negative predictive value, and calibration.

    Aug, 2026 - Aug, 2027

Secondary Outcomes (1)

  • To evaluate the predictive performance of an early HCC risk prediction model integrating liver histopathological imaging with longitudinal clinical and serum glycomics data in patients with hepatitis B-related fibrosis

    Aug, 2026 - Aug, 2028

Study Arms (2)

HCC group

Participants who developed HCC within 5 years after enrollment

Other: No intervention (observational study)

Non-HCC group

Participants who did not develop HCC within 5 years after enrollment

Other: No intervention (observational study)

Interventions

No intervention (observational study)

HCC groupNon-HCC group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with HBV-related fibrosis/cirrhosis on antiviral therapy from a multicenter retrospective cohort, with available longitudinal clinical data, serum glycomics, and liver histopathology.

You may qualify if:

  • 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.

You may not qualify if:

  • 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).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Beijing Friendship Hospital, Capital Medical University

Beijing, Xicheng, 100050, China

Location

Related Publications (5)

  • Lee HW, Kim H, Park T, Park SY, Chon YE, Seo YS, Lee JS, Park JY, Kim DY, Ahn SH, Kim BK, Kim SU. A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B. Liver Int. 2023 Aug;43(8):1813-1821. doi: 10.1111/liv.15597.

  • Truong TN, Pham TND, Hoang LB, Nguyen VT, Dao HV, Dao DVB, Alessy S, Pham HB, Pham TTT, Nguyen LDD, Nguyen K, Abaalkhail F, Manal M, Mawardi M, AlZahrani M, Alswat K, Alghamdi H, Sanai FM, Siddiqui MA, Nguyen NH, Vaidya D, Phan HT, Johnson PJ, Alqahtani SA, Dao DY. Surveillance and treatment of primary hepatocellular carcinoma (aka. STOP HCC): protocol for a prospective cohort study of high-risk patients for HCC using GALAD-score. BMC Cancer. 2023 Sep 18;23(1):875. doi: 10.1186/s12885-023-11167-9.

  • Chun HS, Papatheodoridis GV, Lee M, Lee HA, Kim YH, Kim SH, Oh YS, Park SJ, Kim J, Lee HA, Kim HY, Kim TH, Yoon EL, Jun DW, Ahn SH, Sypsa V, Yurdaydin C, Lampertico P, Calleja JL, Janssen H, Dalekos GN, Goulis J, Berg T, Buti M, Kim SU, Kim YJ. PAGE-B incorporating moderate HBV DNA levels predicts risk of HCC among patients entering into HBeAg-positive chronic hepatitis B. J Hepatol. 2024 Jan;80(1):20-30. doi: 10.1016/j.jhep.2023.09.011. Epub 2023 Sep 19.

  • Shi JY, Wang X, Ding GY, Dong Z, Han J, Guan Z, Ma LJ, Zheng Y, Zhang L, Yu GZ, Wang XY, Ding ZB, Ke AW, Yang H, Wang L, Ai L, Cao Y, Zhou J, Fan J, Liu X, Gao Q. Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning. Gut. 2021 May;70(5):951-961. doi: 10.1136/gutjnl-2020-320930. Epub 2020 Sep 30.

  • Qiu S, Cai J, Yang Z, He X, Xing Z, Zu J, Xie E, Henry L, Chong CR, John EM, Cheung R, Ji F, Nguyen MH. Trends in Hepatocellular Carcinoma Mortality Rates in the US and Projections Through 2040. JAMA Netw Open. 2024 Nov 4;7(11):e2445525. doi: 10.1001/jamanetworkopen.2024.45525.

Biospecimen

Retention: SAMPLES WITHOUT DNA

Using previously used serum samples for the detection of liver cancer markers

MeSH Terms

Conditions

Carcinoma, HepatocellularHepatitis B, Chronic

Interventions

Observation

Condition Hierarchy (Ancestors)

AdenocarcinomaCarcinomaNeoplasms, Glandular and EpithelialNeoplasms by Histologic TypeNeoplasmsLiver NeoplasmsDigestive System NeoplasmsNeoplasms by SiteDigestive System DiseasesLiver DiseasesHepatitis BBlood-Borne InfectionsCommunicable DiseasesInfectionsHepadnaviridae InfectionsDNA Virus InfectionsVirus DiseasesHepatitis, Viral, HumanHepatitis, ChronicHepatitisChronic DiseaseDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

MethodsInvestigative Techniques

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 19, 2026

First Posted

August 21, 2026

Study Start

August 20, 2026

Primary Completion (Estimated)

August 31, 2027

Study Completion (Estimated)

December 31, 2028

Last Updated

August 28, 2026

Record last verified: 2026-08

Locations