Clinical Classification and Imaging Markers in Patients of Obesity
1 other identifier
observational
100
1 country
1
Brief Summary
This is an observational study to explore the etiology and clinical classification in patients with obesity and to achieve personalized treatment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Oct 2024
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 17, 2024
CompletedFirst Posted
Study publicly available on registry
October 18, 2024
CompletedStudy Start
First participant enrolled
October 20, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 30, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
October 30, 2028
October 18, 2024
October 1, 2024
4 years
October 17, 2024
October 17, 2024
Conditions
Outcome Measures
Primary Outcomes (4)
Brain imaging features in patients with obesity by fMRI
total brain volume, grey matter volume, white matter volume,cerebrospinal fluid volume, and nuclear bulk volume by MRI-derived normalized measures. All patients underwent odor-induced task fMRI on a 3.0T MR scanner with 222 volumes for task fMRI and 230 volumes for resting-state fMRI.
From 2024 to 2028
Biomarkers of patients with obesity by blood sample
Diagnostic biomarkers, predictive biomarkers, and prognostic biomarker in patients with obesity by blood sample
From 2024 to 2028
Clinical classification of patients with obesity
Based on the exploration of the unique brain imaging and biomarkers in patients with obesity, the clinical classification of obese patients was carried out.
From 2024 to 2028
Prevention and intervention strategies for obesity based on clinical classification
According to the clinical classification of obesity investigated in our previous study, personalized prevention and treatment strategies are designed to effectively slow down or reverse the obesity disease.
From 2024 to 2028
Interventions
Naturalistic observation
Eligibility Criteria
This study is a dynamic prospective cohort study.
You may qualify if:
- Patients with BMI≥28kg/m2
- Aged 18-65 years of both sexes, right-handed
- At least 6 years of education
- Patients agreed and signed the informed consent
You may not qualify if:
- Fewer than 6 years of education
- Left-handedness
- Dementia
- Acute metabolic complications such as diabetic ketoacidosis
- Hyperglycaemic hyperosmolar state and hypoglycaemic coma within the previous 3 months; history or presence of neurological or psychiatric disorders;
- Presence of hypothyroidism;
- History of malignancy, or severe kidney or liver dysfunction.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University
Nanjing, Jiangsu, 210008, China
Biospecimen
DNA and mRNA
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Yan Bi, M.D., Ph.D.
Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 4 Years
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Professor, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Study Record Dates
First Submitted
October 17, 2024
First Posted
October 18, 2024
Study Start
October 20, 2024
Primary Completion (Estimated)
October 30, 2028
Study Completion (Estimated)
October 30, 2028
Last Updated
October 18, 2024
Record last verified: 2024-10
Data Sharing
- IPD Sharing
- Will not share