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EOCRCPred: an AI Model to Predict Survival in EOCRC Patients After Surgery

NCT06690606 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2024-11-15

No results posted yet for this study

Summary

The goal of this observational study is to develop a predictive model for overall survival in patients under the age of 50 who have undergone surgery for early-onset colorectal cancer (EOCRC). The main question it aims to answer is:

Can machine learning models accurately predict the long-term survival of EOCRC patients after surgical treatment?

Participants who have already undergone surgery for EOCRC as part of their regular medical care will have their clinical data analyzed, with survival outcomes tracked through follow-up assessments. An online survival calculator will also be developed to aid clinicians and patients in predicting personalized survival outcomes.

Conditions

Sponsors & Collaborators

  • Shanghai University of Traditional Chinese Medicine

    lead OTHER

Principal Investigators

  • Wanli Deng · Putuo Hospital, Shanghai University of Traditional Chinese Medicine

Eligibility

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

Timeline & Regulatory

Start
2024-11-12
Primary Completion
2025-05-11
Completion
2025-05-11

Countries

  • China

Study Locations

More Related Trials

Entities

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 NCT06690606 on ClinicalTrials.gov