MedTrace Logo

Model for Prognosis of Elderly Gastric Cancer Patients

NCT06393153 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1202

Last updated 2024-05-01

No results posted yet for this study

Summary

This study aims to develop and validate a Random Survival Forest (RSF) model for predicting long-term survival in elderly patients following curative resection for gastric cancer. The study is a retrospective multi-center analysis involving patients aged 75 and above who underwent gastric resection from January 2009 to December 2018 at nine top-tier hospitals in China. An online prognostic tool is introduced to assist clinicians in predicting patient prognosis and customizing treatment and follow-up strategies.

Conditions

  • Stomach Neoplasms
  • Aged

Sponsors & Collaborators

  • Chang-Ming Huang, Prof.

    lead OTHER

Principal Investigators

  • Chang-Ming Huang, M.D · Fujian Medical University Union Hospital

Eligibility

Min Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2024-04-01
Completion
2024-04-20

Countries

  • China

Study Locations

More Related Trials

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 NCT06393153 on ClinicalTrials.gov