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| Name | Class |
|---|---|
| The Second Hospital of Shandong University | OTHER |
| Jining First People's Hospital | OTHER |
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This study aims to develop and validate a prediction model for estimating the probability of inadequate weight loss one year after sleeve gastrectomy.
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.
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| Measure | Description | Time Frame |
|---|---|---|
| Area under receiver operating characteristic curve (AUC) of the prediction model | AUC reflects the discriminatory ability of the model, which was measured in this study. | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Brier score of the prediction model | Brier score reflects the calibration of the model, which was measured in this study. | 1 year |
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Inclusion Criteria:
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The population included patients with obesity who received sleeve gastrectomy between September 2017 and September 2024. All patients were followed up for at least 1 year.
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| Name | Affiliation | Role |
|---|---|---|
| Yuntao Nie, M.D. | China-Japan Friendship Hospital | Principal Investigator |
| Yinlu Ding, M.D. | The Second Hospital of Shandong University | Study Director |
| Ming Zhu, M.D. | Jining First People's Hospital | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Yuntao Nie | Beijing | 100029 | China |
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| ID | Term |
|---|---|
| D015431 | Weight Loss |
| ID | Term |
|---|---|
| D001836 | Body Weight Changes |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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