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Sex-Specific Machine Learning Models to Predict Distant Metastasis in Liver Cancer

NCT07386639 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 19019

Last updated 2026-02-04

No results posted yet for this study

Summary

This study looked at whether male and female patients with liver cancer (hepatocellular carcinoma, HCC) have different risks of the cancer spreading to distant parts of the body (distant metastasis). Liver cancer is much more common in men than in women, and women often have better survival rates. However, it was unclear if the factors that predict this spread are the same for both sexes.

To answer this question, researchers analyzed information from a large, national cancer database (SEER) from 2004 to 2022, including 19,019 patients diagnosed with liver cancer. They studied factors like age, race, tumor stage, treatment received, and where patients lived. The team used advanced computer models (machine learning) to build separate prediction tools for men and women to estimate their risk of distant metastasis at the time of diagnosis.

Conditions

Sponsors & Collaborators

  • Tongji University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2004-01-01
Primary Completion
2023-01-31
Completion
2025-12-31

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Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07386639 on ClinicalTrials.gov