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Establishment of a Classification System and Postoperative Risk Warning Model for Patients Undergoing Bariatric Metabolic Surgery for Severe Obesity

NCT07093502 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2025-07-30

No results posted yet for this study

Summary

This study aims to establish a classification system for patients undergoing metabolic surgery for severe obesity by constructing a prospective cohort of 2,000 patients and collecting clinical and biological data at multiple time points before and after surgery. By analyzing clinical, laboratory, and multi-omics characteristics, the study will identify indicators associated with postoperative adverse events and develop a risk warning model using machine learning algorithms. Ultimately, an intelligent digital system will be developed based on the classification criteria and risk model, integrating surgical classification and risk alert functions to provide real-time feedback, supporting clinicians and patients in optimizing postoperative treatment and risk management.

Conditions

  • Obesity
  • Bariatric Surgery
  • Bariatric Surgery (Sleeve Gastrectomy )

Sponsors & Collaborators

  • The Third Xiangya Hospital of Central South University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
50 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-04-01
Primary Completion
2035-12-31
Completion
2035-12-31

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07093502 on ClinicalTrials.gov