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https://hdl.handle.net/10216/151149| Author(s): | Cardoso, S Pereira, SS Almeida, RF Osorio, C Silva, D Nora, M Monteiro, M Guimaraes, M |
| Title: | Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass |
| Issue Date: | 2023 |
| Abstract: | AimTo evaluate the accuracy of DiaBetter, DiaRem, Ad-DiaRem and 5y-Ad-DiaRem scores' at predicting T2D remission 10 or more years after surgery.MethodsPatients with obesity and T2D (n = 126) submitted to RYGB with 10 or more years of follow-up. It was a unicentric trial. Pre-operative anthropometric and clinical data was retrieved to calculate DiaRem, DiaBetter, Ad-DiaRem and 5y-Ad-DiaRem scores, while a hospital visit was conducted to assess current diabetes status. The area under the receiver operating characteristic (AUROC) curve was calculated as estimate of the scores' accuracy to predict long-term T2D remission.ResultsAmong the entire cohort (n = 126), 70 subjects (55.6%) achieved and maintained T2D remission 10 or more years after RYGB. The 5y-Ad-DiaRem score was the one that depicted the highest discriminative power (AUROC = 0.838) to predict long-term T2D remission when compared to DiaBetter (AUROC = 0.735), DiaRem (AUROC = 0.721) and Ad-DiaRem (AUROC = 0.720).ConclusionThe score with highest accuracy to predict long-term T2D remission after RYGB surgery was the 5y-Ad-DiaRem. Yet, the available scores accuracy to predict T2D remission in the long term is still suboptimal, highlighting the unmet need for a better scoring system. |
| DOI: | 10.1007/s00592-023-02092-1 |
| URI: | https://hdl.handle.net/10216/151149 |
| Document Type: | Artigo em Revista Científica Internacional |
| Rights: | openAccess |
| Appears in Collections: | ICBAS - Artigo em Revista Científica Internacional |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 634511.pdf | Accuracy of prediction models for long‑term type 2 diabetes | 1.42 MB | Adobe PDF | ![]() View/Open |
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