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EOCRCPred: an AI Model to Predict Survival in EOCRC Patients After Surgery
Sponsor: Shanghai University of Traditional Chinese Medicine
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.
Official title: EOCRCPred: an AI Model for Predicting Overall Survival in Early-Onset Stage I-III Colorectal Cancer Patients Post-Radical Resection-A SEER Database and Dual-Center Chinese Medical Institutions Study
Key Details
Gender
All
Age Range
18 Years - 49 Years
Study Type
OBSERVATIONAL
Enrollment
250
Start Date
2024-11-12
Completion Date
2025-05-11
Last Updated
2024-11-15
Healthy Volunteers
No
Conditions
Locations (2)
Putuo Hospital, Shanghai University of Traditional Chinese Medicine
Shanghai, China
Yueyang Hospital of Integrated Traditional Chinese and Western Medicine
Shanghai, China