Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)

Sponsor
Dr. Med Anas Taha (Other)
Overall Status
Recruiting
CT.gov ID
NCT05710913
Collaborator
University of Basel (Other), GZO Hospital, Zürich, Switzerland (Other)
10,000
1
35.8
279

Study Details

Study Description

Brief Summary

This Study aims to develop machine learning models with the ability to predict patients' BMI and complications after Bariatric Surgery (CABS-Score).

This Study also aims to develop machine learning models with the ability to predict diabetic (DM II)patients' remission rate after Bariatric Surgery.

The service mentioned above will be publicly available as a web-based application

Study Design

Study Type:
Observational
Anticipated Enrollment :
10000 participants
Observational Model:
Cohort
Time Perspective:
Retrospective
Official Title:
Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
Actual Study Start Date :
Jan 5, 2023
Anticipated Primary Completion Date :
Dec 31, 2025
Anticipated Study Completion Date :
Dec 31, 2025

Outcome Measures

Primary Outcome Measures

  1. Complication after surgery [[Time Frame: From index surgery up to 3 months postoperatively]]

  2. Body mass Index (KG/m2) after surgery [[Time Frame: From index surgery up to 1 year postoperatively]]

  3. Diabetes mellitus type II remission rate postoperatively [[Time Frame: From index surgery up to 2 year postoperatively]]

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Patients undergoing bariatric surgery

  • Patients >18 years

Exclusion Criteria:
  • Patients <18 years

  • Patients who cannot be followed up on for more than 6 month after surgery

  • Patients who are unable to provide informed approval to participate according to each centre's rules will be excluded.

Contacts and Locations

Locations

Site City State Country Postal Code
1 University of Basel - Department of Biomedical Engineering Basel Switzerland

Sponsors and Collaborators

  • Dr. Med Anas Taha
  • University of Basel
  • GZO Hospital, Zürich, Switzerland

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Dr. Med Anas Taha, Research Fellow, University of Basel
ClinicalTrials.gov Identifier:
NCT05710913
Other Study ID Numbers:
  • CABS
First Posted:
Feb 2, 2023
Last Update Posted:
Feb 2, 2023
Last Verified:
Jan 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Dr. Med Anas Taha, Research Fellow, University of Basel
Additional relevant MeSH terms:

Study Results

No Results Posted as of Feb 2, 2023