Machine Learning for Reclassification of Obesity

Obesity Clinical Trial

Official title:

Data-driven Clustering for Metabolic Classification of Obesity Using Machine Learning

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04282837
• Other study ID #: Obesity Reclassification
• Status: Completed
• Start date: March 1, 2020
• Est. completion date: June 20, 2020

Study information

• Verified date: June 2020
• Source: Shanghai 10th People's Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The goal of this study is to employ or develop computational modeling techniques for the precise reclassification of obesity into subgroups. Clinical features, risks of noncommunicable diseases, as well as weight loss effects of bariatric surgery will also be studied and compared within the subgroups.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 2495
• Est. completion date: June 20, 2020
• Est. primary completion date: April 30, 2020
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 10 Years to 70 Years

Eligibility

Inclusion Criteria:

1. Patients with overweight/obesity

2. Patients with normal weight as controls

Exclusion Criteria:

1. had ever been performed with a bariatric surgery before the study's first visit is scheduled;

2. had taken exogenous insulin, medication that affects glucose metabolism, or uric acid drugs currently;

3. being diagnosed with type 1 diabetes, secondary diabetes, hereditary disease, or severe disease (e.g. malignant tumor, heart failure, liver failure, etc.);

4. in gestation of lactation;

5. did not have the complete data for model;

6. for normal-weight controls, patients with diabetes or hyperuricemia were excluded.

Related Conditions & MeSH terms

• Obesity

Intervention

Diagnostic Test:
• AI classification of patients with obesity
Computational modeling techniques will be used for the precise reclassification of obesity into four subgroups, several variables according to the clinical experience and the modeling results will be selected for the cluster analysis.

Locations

Country	Name	City	State
China	Shanghai Tenth People's Hospital	Shanghai	Shanghai

Sponsors (5)

Lead Sponsor	Collaborator
Shanghai 10th People's Hospital	Shanghai East Hospital, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, The Third People's Hospital of Chengdu, University of Pittsburgh

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Metabolic classification of patients with obesity using machine learning		baseline
Secondary	Metabolic features in patients of different subgroups		baseline
Secondary	Risks for noncommunicable disease in patients of different subgroups		baseline
Secondary	Effect of bariatric surgery in patients of different subgroups		1 year after bariatric surgery