Last reviewed · How we verify
NCT05710913
Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
trial in Body Weight in 10,000 participants. Status unknown.
31 December 2025
Quick facts
| Lead sponsor | Dr. Med Anas Taha |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 10,000 |
| Start date | 5 January 2023 |
| Primary completion | 31 December 2025 |
| Estimated completion | 31 December 2025 |
| Sites | 1 location across Switzerland |
Conditions studied
- Body Weight — all drugs for Body Weight →
- Post-Op Complication — all drugs for Post-Op Complication →
- Anastomosis, Leaking — all drugs for Anastomosis, Leaking →
- Hiatal Hernia — all drugs for Hiatal Hernia →
Sponsor
Dr. Med Anas Taha
Who can join
18 and older, any sex, with Body Weight or Post-Op Complication. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT05710913
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other Dr. Med Anas Taha trials
Trials by the same sponsor.
- NCT05257863 — Development of Machine Learning Models for the Prediction of Complications After Colonic, Colorectal and Small Intestine · unknown
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05710913 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Dr. Med Anas Taha
- Last refreshed: 2 February 2023
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/NCT05710913.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing