Remission of Type 2 Diabetes Following a Short-term Intervention With Insulin Glargine, Metformin, and Dapagliflozin
Bibliographic record
Abstract
OBJECTIVE: To examine diabetes remission following a short-term intensive metabolic intervention combining lifestyle and glucose-lowering approaches. METHODS: We conducted an open-label, randomized controlled trial in 154 patients with type 2 diabetes up to 8 years in duration on 0 to 2 glucose-lowering medications. Participants were randomized to (a) a 12-week intensive intervention comprising lifestyle approaches and treatment with insulin glargine, metformin, and dapagliflozin or (b) standard diabetes care. At 12 weeks, diabetes medications were discontinued in participants with hemoglobin A1c (HbA1C) < 7.3% (56 mmol/mol). Participants were then followed for diabetes relapse until 64 weeks. The primary outcome was complete or partial diabetes remission (HbA1C < 6.5% [48 mmol/mol] off chronic diabetes drugs) at 24 weeks. Main secondary outcomes were complete or partial diabetes remission at 36, 48, and 64 weeks. RESULTS: The primary outcome was achieved in 19 (24.7%) intervention group participants and 13 (16.9%) control group participants at 24 weeks (relative risk [RR] 1.5; 95% confidence interval [CI], 0.8-2.7). The relative risks of remission at 36, 48, and 64 weeks were 2.4 (95% CI, 1.2-5.0), 2.1 (95% CI, 1.0-4.4), and 1.8 (95% CI, 0.7-4.7), respectively. In an exploratory analysis, the intervention reduced the hazard of diabetes relapse with overt hyperglycemia by 43% (hazard ratio 0.57; 95% CI, 0.39-0.81). CONCLUSIONS: Our primary outcome of diabetes remission at 24 weeks was not statistically significantly different. However, our overall results suggest that some patients with early type 2 diabetes are able to achieve sustained diabetes remission following a short-term intensive intervention. Further studies are needed to optimize the combined therapeutic approach used.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".