Prediction Model for Anemia After Bariatric Surgery

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06170749

Enrollment

600

Registered

2023-12-14

Start date

2017-09-01

Completion date

2025-05-31

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

Anemia, Bariatric Surgery

Keywords

Anemia, Bariatric surgery, Prediction model

Brief summary

To develop and validate a prediction model for estimating the short and long-term risk of anemia after bariatric surgery.

Detailed description

This study aims to develop and validate a prediction model for estimating the probability of anemia for patients with obesity one, three, and five years after sleeve gastrectomy and Roux-en-Y gastric bypass, using preoperative clinical and laboratory data.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

OTHER

Eligibility

Sex/Gender

ALL

Age

16 Years to 70 Years

Inclusion criteria

* aged between 16-70 years; * body mass index (BMI) ≥ 27.5 kg/m2; * complete preoperative and follow-up data.

Exclusion criteria

* vegetarian; * other bariatric procedures; * renal failure at baseline; * postoperative bleeding (it was defined as a drop in hemoglobin levels \> 3 g/dL or a confirmed blood loss requiring treatment after surgery); * incomplete preoperative and follow-up data.

Design outcomes

Primary

Measure	Time frame	Description
AUCs of the prediction model at 1, 3, 5 years	5 years	This metric shows the discrimination ability of the prediction model.

Secondary

Measure	Time frame	Description
Brier score	5 years	This metric shows the calibration of the model. The Brier score (on a scale ranging from 0 to 1), which calculates the difference between the estimated and observed risk for malignancy with values closer to 0 indicating better calibration, was used to evaluate model calibration.

Other

Measure	Time frame	Description
AUCs of the prediction model in different subgroups	5 years	AUCs of the prediction model in different subgroups, including age (≤ 40 years/\>40 years), sex, BMI (≤37.5kg/m2/\>37.5kg/m2), smoking history, alcohol consumption, hypertension, and T2DM history.

Countries

China

Outcome results