Status:
COMPLETED
Interpretable Machine Learning Models for Prognosis in Gastric Cancer Patients
Lead Sponsor:
Chang-Ming Huang, Prof.
Conditions:
Stomach Neoplasms
Gastrectomy
Eligibility:
All Genders
Brief Summary
This multicenter, retrospective cohort study aimed to develop and validate an explainable prediction model for prognosis after gastrectomy in patients with gastric cancer.
Detailed Description
This multicenter, retrospective cohort study aimed to develop and validate an explainable prediction model for prognosis after gastrectomy in patients with gastric cancer. The study included patients ...
Eligibility Criteria
Inclusion
- Patients diagnosed with primary gastric or gastroesophageal junction cancer
- Underwent radical gastrectomy
- Complete clinical and pathological data available
Exclusion
- Presence of distant metastases before surgery
- Non-adenocarcinoma histology
- Incomplete follow-up data
Key Trial Info
Start Date :
June 1 2024
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
August 6 2024
Estimated Enrollment :
18000 Patients enrolled
Trial Details
Trial ID
NCT06548464
Start Date
June 1 2024
End Date
August 6 2024
Last Update
August 12 2024
Active Locations (1)
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1
Chang-ming Huang
Fuzhou, Fujian, China, 350001