a Prediction of Post-Endoscopic Retrograde Cholangiopancreatography Complication

The First Affiliated Hospital of University of South China

Status: Enrolling

Conditions: Endoscopic Retrograde Cholangiopancreatography

Treatments: Other: collection of laboratory test results, imaging results and symptoms

Study type: Observational

Funder types: Other

Identifiers

NCT06277414

2024ll0204001

Details and patient eligibility

About

To develop effective preoperative and postoperative prediction models for postoperative complications of ERCP

Full description

To develop effective preoperative and postoperative prediction models for postoperative complications of ERCP based on machine learning

Enrollment: 2,000 estimated patients

Sex: All

Ages: 18 to 90 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Routine ERCP patients

Exclusion criteria

• Unwillingness or inability to consent for the study
• Pregnant women or breastfeeding
• current acute pancreatitis

Trial design

2,000 participants in 1 patient group

ERCP

Description:

The postoperative laboratory test results, imaging results and symptoms were collected

Treatment:

Other: collection of laboratory test results, imaging results and symptoms