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NCT07045181

Prediction Model of Pancreatic Neoplasms in CP Patients With Focal Pancreatic Lesions

Completed Last updated 30 September 2025
What this trial tests

trial testing XGBoost machine learning in Chronic Pancreatitis in 113 participants. Completed in 5 August 2025.

Timeline
1 July 2025
Primary endpoint
1 August 2025
5 August 2025

Quick facts

Lead sponsorChanghai Hospital
StatusCompleted
Study typeOBSERVATIONAL
Enrollment113
Start date1 July 2025
Primary completion1 August 2025
Estimated completion5 August 2025
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Changhai Hospital

Who can join

Eligibility, any sex, with Chronic Pancreatitis or Pancreatic Neoplasm. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This study aims to develop XGBoost machine learning model to predict pancreatic neoplasms in CP patients with focal pancreatic lesions.

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 Chronic Pancreatitis

Currently open trials in the same condition.

Other Changhai Hospital 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/NCT07045181.

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