Condition: Obesity · Bariatric Surgery · Bariatric Surgery (Sleeve Gastrectomy ) · Sponsor: The Third Xiangya Hospital of Central South University
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.
This description comes directly from the study's public registry record.
Liyong Zhu · +86 13975879453 · zly8128@csu.edu.cn
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| Third Xiangya Hospital of Central South University | Changsha, Hunan, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07093502