Skip to content

Prediction Model for Inadequate Weight Loss After Sleeve Gastrectomy

Prediction Model for Inadequate Weight Loss After Sleeve Gastrectomy

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06157606
Enrollment
1000
Registered
2023-12-06
Start date
2017-09-01
Completion date
2024-09-30
Last updated
2025-07-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bariatric Surgery, Sleeve Gastrectomy, Weight Loss

Keywords

Sleeve Gastrectomy, Weight Loss, Prediction Model

Brief summary

This study aims to develop and validate a prediction model for estimating the probability of inadequate weight loss one year after sleeve gastrectomy.

Detailed description

Inadequate weight loss (IWL) is a major problem after sleeve gastrectomy, leading to the recurrence of obesity-related comorbidities and increased risk of revision surgery. It is important to identify the high-risk individuals for IWL before surgery so that clinicians can initiate more rigorous weight monitoring and management strategies. Therefore, this study aims to develop a prediction model using preoperative clinical and laboratory data to estimate the risk of IWL one year after sleeve gastrectomy, and then validate it using two separate datasets.

Interventions

None listed

Sponsors

The Second Hospital of Shandong University
CollaboratorOTHER
Jining First People's Hospital
CollaboratorOTHER
China-Japan Friendship Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
16 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

* BMI ≥ 27.5 kg/m2; * 16 years ≤ age ≤ 70 years; * Complete preoperative data and one-year follow-up information

Exclusion criteria

* Patients who did not undergo SG; * Incomplete follow-up information; * Patients with a history of pituitary or thyroid disease; * Female patients who conceived within one year after surgery

Design outcomes

Primary

MeasureTime frameDescription
Area under receiver operating characteristic curve (AUC) of the prediction model1 yearAUC reflects the discriminatory ability of the model, which was measured in this study.

Secondary

MeasureTime frameDescription
Brier score of the prediction model1 yearBrier score reflects the calibration of the model, which was measured in this study.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026