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Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass

AIM: To evaluate the accuracy of DiaBetter, DiaRem, Ad-DiaRem and 5y-Ad-DiaRem scores’ at predicting T2D remission 10 or more years after surgery. METHODS: Patients with obesity and T2D (n = 126) submitted to RYGB with 10 or more years of follow-up. It was a unicentric trial. Pre-operative anthropom...

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Autores principales: Cardoso, Samuel, Pereira, Sofia S., Almeida, Rui F., Osório, Catarina, Silva, Diogo, Nora, Mário, Monteiro, Mariana P., Guimarães, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289962/
https://www.ncbi.nlm.nih.gov/pubmed/37085634
http://dx.doi.org/10.1007/s00592-023-02092-1
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author Cardoso, Samuel
Pereira, Sofia S.
Almeida, Rui F.
Osório, Catarina
Silva, Diogo
Nora, Mário
Monteiro, Mariana P.
Guimarães, Marta
author_facet Cardoso, Samuel
Pereira, Sofia S.
Almeida, Rui F.
Osório, Catarina
Silva, Diogo
Nora, Mário
Monteiro, Mariana P.
Guimarães, Marta
author_sort Cardoso, Samuel
collection PubMed
description AIM: To evaluate the accuracy of DiaBetter, DiaRem, Ad-DiaRem and 5y-Ad-DiaRem scores’ at predicting T2D remission 10 or more years after surgery. METHODS: Patients 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. RESULTS: Among 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). CONCLUSION: The 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.
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spelling pubmed-102899622023-06-25 Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass Cardoso, Samuel Pereira, Sofia S. Almeida, Rui F. Osório, Catarina Silva, Diogo Nora, Mário Monteiro, Mariana P. Guimarães, Marta Acta Diabetol Original Article AIM: To evaluate the accuracy of DiaBetter, DiaRem, Ad-DiaRem and 5y-Ad-DiaRem scores’ at predicting T2D remission 10 or more years after surgery. METHODS: Patients 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. RESULTS: Among 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). CONCLUSION: The 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. Springer Milan 2023-04-21 2023 /pmc/articles/PMC10289962/ /pubmed/37085634 http://dx.doi.org/10.1007/s00592-023-02092-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Cardoso, Samuel
Pereira, Sofia S.
Almeida, Rui F.
Osório, Catarina
Silva, Diogo
Nora, Mário
Monteiro, Mariana P.
Guimarães, Marta
Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass
title Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass
title_full Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass
title_fullStr Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass
title_full_unstemmed Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass
title_short Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass
title_sort accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289962/
https://www.ncbi.nlm.nih.gov/pubmed/37085634
http://dx.doi.org/10.1007/s00592-023-02092-1
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