Comparison of insulin degludec with insulin glargine in insulin‐naive subjects with Type 2 diabetes: a 2‐year randomized, treat‐to‐target trial
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: The aim of this study was to compare long-term safety and efficacy of the basal insulin analogue degludec with glargine in insulin-naive subjects with Type 2 diabetes. METHODS: This open-label trial included a 52-week core period followed by a 52-week extension. Participants were randomized 3:1 to once-daily degludec or glargine, administered with metformin ± dipeptidyl peptidase-4 inhibitors. Basal insulin was titrated to target pre-breakfast plasma glucose 3.9-4.9 mmol/l. RESULTS: At end of treatment (104 weeks), mean HbA1c reductions were similar for degludec and glargine; estimated treatment difference between degludec and glargine was 1 mmol/mol (95% CI -1 to 3) [0.07% (95% CI -0.07 to 0.22)], P = 0.339 in the extension trial set (degludec 551, glargine 174), comprising subjects who completed core trial and continued into the extension trial. Overall confirmed hypoglycaemia rates (1.72 vs. 2.05 episodes/patient-year), rates of adverse events possibly or probably related to trial product (0.19 events/patient-year), weight gain (2.7 vs. 2.4 kg) and mean daily insulin doses (0.63 U/kg) were similar between treatments in the safety analysis set (degludec 766, glargine 257) comprising all treated subjects. Rates of nocturnal confirmed hypoglycaemia (0.27 vs. 0.46 episodes/patient-year; P = 0.002) and severe hypoglycaemia (0.006 vs. 0.021 episodes/patient-year, P = 0.023) were significantly lower with degludec for the safety analysis set (analysis based on intention-to-treat full analysis set comprising all randomized subjects). CONCLUSIONS: In Type 2 diabetes, insulin degludec in combination with oral anti-diabetic drugs, safely and effectively improves long-term glycaemic control, with a significantly lower risk of nocturnal hypoglycaemia as compared with glargine.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it