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NCT06548464

Interpretable Machine Learning Models for Prognosis in Gastric Cancer Patients

Completed Last updated 12 August 2024
What this trial tests

trial in Stomach Neoplasms in 18,000 participants. Completed in 6 August 2024.

Timeline
1 June 2024
Primary endpoint
1 August 2024
6 August 2024

Quick facts

Lead sponsorChang-Ming Huang, Prof.
StatusCompleted
Study typeOBSERVATIONAL
Enrollment18,000
Start date1 June 2024
Primary completion1 August 2024
Estimated completion6 August 2024
Sites1 location across China

Conditions studied

Sponsor

Chang-Ming Huang, Prof. — full company profile →

Who can join

Eligibility, any sex, with Stomach Neoplasms or Gastrectomy. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This multicenter, retrospective cohort study aimed to develop and validate an explainable prediction model for prognosis after gastrectomy in patients with gastric cancer.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other recruiting trials for Stomach Neoplasms

Currently open trials in the same condition.

Other Chang-Ming Huang, Prof. trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06548464.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing