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# Type 2 diabetes remission and relapse after metabolic-bariatric procedures in ARMMS-T2D
- URL: https://www.coios.me/type-2-diabetes-remission-and-relapse-after-metabolic/
- Published: 2026-10-23T13:05:13.000Z
- Updated: 2026-10-23T17:02:13.000Z
- Description: In ARMMS-T2D, 58% assigned to metabolic-bariatric procedures reached diabetes remission over a median 11 years, against 3% on medical-lifestyle care.
- Author: Daniel Ryan
- Tags: Health today, Obesity, diabetes and GLP-1, United States, #peer-reviewed, #refines, #item, #source-2026-10, #score-65

ARMMS-T2D followed 262 adults with type 2 diabetes for a median 11 years after randomisation in earlier trials. 166 were assigned metabolic-bariatric procedures and 96 intensive medical-lifestyle management; mean baseline HbA1c was 8.5%, BMI 36.4 kg/m2\. Remission, HbA1c below 6.5% off glucose-lowering drugs, occurred in 58% of the procedure arm and 3% of the medical arm. Baseline diabetes duration, insulin use and weight change at 1 year predicted remission in multivariate analysis. Within the procedure arm, longer diabetes duration and more glucose-lowering drug classes predicted relapse after remission. The pooled sample of 262, drawn from separate earlier trials, is modest.

*Why it is interesting: Gives long-term remission and relapse rates for metabolic-bariatric procedures against medical management. It also sets out the baseline features separating those who remit from those who do not.*

Source

[Diabetes Care, 20 October 2026](https://doi.org/10.2337/dc26-1070?ref=coios.me)

Paper

Predictors of Type 2 Diabetes Remission and Relapse After Metabolic-Bariatric Surgery or Medical-Lifestyle Therapy in the ARMMS-T2D Study

Authors

Simonson DC, Cummings DE, Schauer PR, Aminian A, Hu B, Arterburn DE et al.

DOI

10.2337/dc26-1070

Type

Peer-reviewed article

Design

Secondary analysis of pooled randomised trials (ARMMS-T2D), n=262 (166 surgery, 96 medical-lifestyle), median 11 years' follow-up, maximum 14 years; univariate time-to-event plus LASSO multivariate predictor modelling

Verdict

Refines prior evidence

Driver

[Obesity, diabetes and GLP-1](https://www.coios.me/d-obesity-diabetes/)