Diabetes remission and relapse following an intensive metabolic intervention combining insulin glargine/lixisenatide, metformin and lifestyle approaches: Results of a randomised controlled trial
Bibliographic record
Abstract
AIM: Non-surgical options for inducing type 2 diabetes remission are limited. We examined whether remission can be achieved by combining lifestyle approaches and short-term intensive glucose-lowering therapy. METHODS: In this trial, 160 patients with type 2 diabetes on none to two diabetes medications other than insulin were randomised to (a) an intervention comprising lifestyle approaches, insulin glargine/lixisenatide and metformin, or (b) standard care. Participants with glycated haemoglobin (HbA1c) <7.3% (56 mmol/mol) at 12 weeks were asked to stop diabetes medications and were followed for an additional 52 weeks. The primary outcome was diabetes relapse defined as HbA1c ≥6.5% (48 mmol/mol) at 24 weeks or thereafter, capillary glucose ≥10 mmol/L on ≥50% of readings, or use of diabetes medications, analysed as time-to-event. Main secondary outcomes included complete or partial diabetes remission at 24, 36, 48 and 64 weeks defined as HbA1c <6.5% (48 mmol/mol) off diabetes medications since 12 weeks after randomisation. A hierarchical testing strategy was applied. RESULTS: The intervention significantly reduced the hazard of diabetes relapse by 43% (adjusted hazard ratio 0.57, 95% confidence interval 0.40-0.81; p = .002). Complete or partial diabetes remission was achieved in 30 (38.0%) intervention group participants versus 16 (19.8%) controls at 24 weeks and 25 (31.6%) versus 14 (17.3%) at 36 weeks [relative risk 1.92 (95% confidence interval 1.14-3.24) and 1.83 (1.03-3.26), respectively]. The relative risk of diabetes remission in the intervention versus control group was 1.88 (1.00-3.53) at 48 weeks and 2.05 (0.98-4.29) at 64 weeks. CONCLUSIONS: A 12-week intensive intervention comprising insulin glargine/lixisenatide, metformin and lifestyle approaches can induce remission of diabetes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".