Body WeightNCT05710913
Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
An observational study of Body Weight and Post-Op Complication, run by Dr. Med Anas Taha at 1 site in Switzerland.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Body Weight, Post-Op Complication, Anastomosis, Leaking
- How many people
- 10,000 participants
- Where
- 1 siteSwitzerland
- Study dates
- 5 Jan 2023to 31 Dec 2025
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients undergoing bariatric surgery
Who may be able to join
- Patients undergoing bariatric surgery
- Patients >18 years
Who cannot join
- 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.
Trial locations and contacts
1 site in 1 country.
Bassey Enodien, MD contact
Switzerland1 site, 1 recruiting
- Recruiting
University of Basel - Department of Biomedical Engineering
Basel
Anas Taha, MD, 0041 61 207 54 02, anas.taha@unibas.ch
About this study
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
- Conditions
- Body Weight, Post-Op Complication, Anastomosis, Leaking, Hiatal Hernia, GERD, Internal Hernia
- Keywords
- Bariatric Surgery, Machine learning, Clinical prediction modelling, Artificial intelligence
- Medical subject headings
- Body Weight, Postoperative Complications, Hernia, Hiatal, Gastroesophageal Reflux, Internal Hernia, Intussusception, Diabetes Mellitus, Type 2, Sleep Apnea, Obstructive
What is being measured
The primary outcome is the main question the study is designed to answer.
Complication after surgery
Measured: [Time Frame: From index surgery up to 3 months postoperatively]
Body mass Index (KG/m2) after surgery
Measured: [Time Frame: From index surgery up to 1 year postoperatively]
Diabetes mellitus type II remission rate postoperatively
Measured: [Time Frame: From index surgery up to 2 year postoperatively]
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted2 Feb 2023
- Study start5 Jan 2023
- Primary completion31 Dec 2025 (estimated)
- Study completion31 Dec 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Body WeightStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 10,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Dr. Med Anas Taha
- Sponsor type
- University, hospital or other
- Collaborators
- University of Basel, GZO Hospital, Zürich, Switzerland
- Responsible party
- Sponsor-investigator, Dr. Med Anas Taha, University of Basel
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05710913
- Sponsor's protocol ID
- CABS
- Status last verified
- Jan 2023
- First submitted
- 15 Jan 2023
- Last updated
- 2 Feb 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 2 Feb 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
- ClinicalTrials.gov ID
- NCT05710913
- Acronym / sponsor ID
- CABS
- Conditions
- Body Weight, Post-Op Complication, Anastomosis, Leaking, Hiatal Hernia, GERD, Internal Hernia
- Keywords
- Bariatric Surgery, Machine learning, Clinical prediction modelling, Artificial intelligence
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 10,000 participants (estimated)
- Lead sponsor
- Dr. Med Anas TahaUniversity, hospital or other
- Collaborators
- University of Basel, GZO Hospital, Zürich, Switzerland
- Study start
- 5 Jan 2023 (actual)
- Primary completion
- 31 Dec 2025 (estimated)
- Study completion
- 31 Dec 2025 (estimated)
- First posted
- 2 Feb 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
- Observational model
- Cohort
- Time perspective
- Retrospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients undergoing bariatric surgery
Key inclusion criteria (2 listed)
- Patients undergoing bariatric surgery
- Patients >18 years
Key exclusion criteria (3 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Complication after surgery
Time frame: [Time Frame: From index surgery up to 3 months postoperatively]
Body mass Index (KG/m2) after surgery
Time frame: [Time Frame: From index surgery up to 1 year postoperatively]
Diabetes mellitus type II remission rate postoperatively
Time frame: [Time Frame: From index surgery up to 2 year postoperatively]
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Feb 2023.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Bassey Enodien, MD contact
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Body Weight and Post-Op Complication, run by Dr. Med Anas Taha at 1 site in Switzerland.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 2 Feb 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Switzerland. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Anas Taha, MD (0041612075402, anas.taha@unibas.ch), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Complication after surgery (time frame: [Time Frame: From index surgery up to 3 months postoperatively]). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Feb 2023.