Completed OBSERVATIONAL NCT06663852

ML Decision Model for G-NEC Adjuvant Therapy (G-NEC)

Machine Learning-Based Decision Model for Optimal Adjuvant Therapy in Primary Gastric Neuroendocrine Carcinoma: a National Real-World Evidence Study

Sponsor: Chang-Ming Huang, Prof.

Conditions Gastric Neuroendocrine Carcinoma (G-NEC) Machine Learning Postoperative Adjuvant Therapy for G-NEC Survival Outcomes

Updated 2 times since 2024 Last updated: Nov 25, 2024 Started: Jan 1, 2024 Primary completion: Jun 1, 2024 Completion: Jun 30, 2024

This information is for research purposes only and is not medical advice. Consult a healthcare provider before making any medical decision.

This observational or N/A phase trial investigates Gastric Neuroendocrine Carcinoma (G-NEC) and Machine Learning and is currently completed. Chang-Ming Huang, Prof. leads this study, which shows 2 recorded versions since 2024 — indicating limited longitudinal coverage. As an oncology study, it adds to the longitudinal record of treatment development for this indication.

Status Flow

Change History

2 versions recorded

Dec 2024 — Present [monthly]

Completed
Nov 2024 — Dec 2024 [monthly]

Completed

First recorded

Jan 2024

Trial started

Per CT.gov start date — pre-dates our first snapshot

Eligibility Summary

No eligibility information available.

Contact Information

Sponsor contact:

Chang-Ming Huang, Prof.

Data source: Fujian Medical University

For direct contact, visit the study record on ClinicalTrials.gov .

Study Locations

• Fuzhou, China