Skip to main content
MedPathMedPath Home
Clinical Trials/NCT06277414
NCT06277414
Recruiting
Not Applicable

Machine Learning for the Prediction of Post-Endoscopic Retrograde Cholangiopancreatography Complication Risk

The First Affiliated Hospital of University of South China1 site in 1 country2,000 target enrollmentJanuary 1, 2018
Share to TwitterShare to FacebookShare to LinkedInShare to Reddit
ConditionsEndoscopic Retrograde Cholangiopancreatography

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Endoscopic Retrograde Cholangiopancreatography
Sponsor
The First Affiliated Hospital of University of South China
Enrollment
2000
Locations
1
Primary Endpoint
Number of Participants with Pancreatitis
Status
Recruiting
Last Updated
2 years ago
OverviewInvestigatorsEligibility CriteriaOutcomesSitesSimilar Trials

Overview

Brief Summary

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

Detailed Description

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

Registry
clinicaltrials.gov
Start Date
January 1, 2018
End Date
December 31, 2024
Last Updated
2 years ago
Study Type
Observational
Sex
All

Investigators

Sponsor
The First Affiliated Hospital of University of South China
Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • •Routine ERCP patients

Exclusion Criteria

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

Outcomes

Primary Outcomes

Number of Participants with Pancreatitis

Time Frame: 1 month

Typical abdominal pain, with the level of serum amylase increasing at least 3 times of the normal range within 24 hours after ERCP.

Secondary Outcomes

  • Number of Participants with Cholangitis(1 month)
  • Number of Acute PEC(post-ERCP-cholecystitis )(1 month)
  • Number of Participants with Perforation(1 month)
  • Number of Participants with bile duct stents(1 month)

Study Sites (1)

Loading locations...

Similar Trials

Recruiting
Not Applicable
Development of Machine Learning Models for the Prediction of Complications After Colonic, Colorectal and Small Intestine Anastomosis in Psychiatric and Non-psychiatric Patient Collectives (P-Study)Postoperative ComplicationsPsychosomatic DisorderPsychiatric DisorderCancerDiverticulitisMorbus CrohnColitis UlcerosaAnastomotic LeakAnastomotic ComplicationSmall Intestine Anastomotic Leak
NCT05257863Dr. Med Anas Taha10,000
Completed
Not Applicable
Machine Learning Model to Predict Postoperative Respiratory FailureNoncardiac Surgery
NCT04527094Seoul National University Hospital22,250
Completed
Not Applicable
ML Models for Predicting Postoperative Peritoneal Metastasis After Hepatocellular Carcinoma RupturePeritoneal Metastasis
NCT06102278Chen Xiaoping522
Completed
Not Applicable
Development of a Prediction Model for Intraoperative Blood Pressure VariabilityBlood Pressure Immeasurable
NCT05698433Beijing Tsinghua Chang Gung Hospital47,520
Recruiting
Not Applicable
A Machine Learning Prediction Model for Delayed CIPONVPostoperative Nausea and Vomiting
NCT06443697Sixth Affiliated Hospital, Sun Yat-sen University1,154