Clinical trial Recruiting at 1 site Observational Ages 18 to 50

Classification and real-time risk-warning system for people having bariatric metabolic surgery

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

Run by The Third Xiangya Hospital of Central South University · NCT07093502 · Data updated 2026-11-12

This project will test whether clinical, lab, and biological data from 2,000 people having bariatric metabolic surgery can be used to classify patients and build a model that warns of postoperative risks.

Quick facts

Study typeObservational
Ages18 Years to 50 Years
SexAll
Enrollment2000 (estimated)
SponsorThe Third Xiangya Hospital of Central South University
Academic / other
Locations1 site (Changsha, Hunan)
StatusRecruiting
StartedApril 1, 2025
Main results expectedDecember 31, 2035
Study endsDecember 31, 2035
Registry record updatedJuly 30, 2025
Trial IDNCT07093502 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults aged 18–50 with clinical indications for bariatric/metabolic surgery, stable weight (±5% in the past 3 months), and planned laparoscopic sleeve gastrectomy or Roux-en-Y gastric bypass are ideal candidates.

Probably not a fit

People with untreated endocrine disorders, active cancer, significant renal or hepatic impairment, recent use of metabolism-altering medications, prior bariatric revisions, certain psychiatric or behavioral disorders, or those outside the age range may not benefit from the study's classification or risk model.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The study will enroll a prospective cohort of 2,000 adults undergoing laparoscopic sleeve gastrectomy or Roux-en-Y gastric bypass and collect clinical, laboratory, and multi-omics samples before surgery and at multiple postoperative time points through 24 months. Researchers will integrate time-series biospecimens and clinical data on a multidimensional platform and use clustering and machine learning to identify features linked to postoperative adverse events. Targeted assays will seek novel biomarkers and a risk warning model will be developed, validated, and evaluated. The final aim is to implement an intelligent digital system that combines patient classification with real-time risk alerts to support clinicians and patients in postoperative management.

Why it matters

Potential benefit: If successful, the system could provide personalized, real-time risk alerts and help clinicians and patients reduce complications and optimize recovery after bariatric surgery.

How similar studies have gone: Existing risk models and cohorts for bariatric outcomes exist, but a large prospective multi-omics classification with an integrated real-time digital risk-alert system is relatively novel and not yet widely validated.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Patients who meet the clinical indications for bariatric/metabolic surgery;

  * Adults aged 18 to 50 years; ③ Stable body weight (change within ±5% over the past 3 months); ④ Undergoing either laparoscopic sleeve gastrectomy (LSG) or laparoscopic Roux-en-Y gastric bypass (LRYGB).

Exclusion Criteria:

* ① Patients with conditions affecting the immune or metabolic systems (e.g., endocrine disorders such as untreated hypothyroidism/hyperthyroidism, cancer);

  * Patients with renal or hepatic impairment;

    * Patients who have taken medications that may affect metabolism within the past 3 months (e.g., weight-loss drugs, asthma medications, psychiatric medications, corticosteroids);

      * Patients who have previously undergone bariatric surgery and are undergoing revisional surgery; ⑤ Patients with psychiatric disorders, especially those with comorbid behavioral or personality disorders (e.g., binge eating disorder);

        * Patients currently participating in other clinical studies that may conflict with this study or those who refuse to sign the informed consent form.

Where it's running

  • Third Xiangya Hospital of Central South University
    Changsha, Hunan, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.