Construction and validation of a nomogram for predicting diabetes remission at 3 months after bariatric surgery in patients with obesity combined with type 2 diabetes mellitus
Authors' conclusion
The prediction model developed in this study holds predictive value for short-term DR following BMS in patients with obesity and T2DM.
Study context
- Population
- Patients with obesity and T2DM with complete preoperative information who underwent laparoscopic SG or laparoscopic gastric bypass (January 2014–May 2023), Chinese Obesity and Metabolic Surgery Database
- Participants
- 389 patients
- Exposure
- Training set vs Validation set
- Training setn = 272
- Validation setn = 117
- Outcome
- Diabetes remission after MBS
- Follow-up
- 3 months
Methodological detailsprediction model development and validation, nomogram, multivariate logistic regression, random 7:3 training/validation split
- Prediction model development and validation
- Nomogram
- Multivariate logistic regression
- Random 7:3 training/validation split
Main finding
As reported in the abstract
Nomogram (HbA1c, TG, duration of diabetes, insulin requirement, hypercholesterolaemia) for diabetes remission at 3 months · 3 months after BMS
| Group | AUC |
|---|---|
| Training cohort | 0.930 |
| Validation cohort | 0.838 |
AUC
Training cohort0.930
Validation cohort0.838
Observational data: associations, not effects.
Original publication
Construction and validation of a nomogram for predicting diabetes remission at 3 months after bariatric surgery in patients with obesity combined with type 2 diabetes mellitus. Diabetes Obes Metab. Published 9 October 2023. doi:10.
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