Health status and hypoglycaemia with insulin degludec versus insulin glargine: a 2‐year trial in insulin‐naïve patients with type 2 diabetes
Bibliographic record
Abstract
Insulin degludec (IDeg) is a new basal insulin with an ultra-long and stable glucose-lowering effect. We compared once-daily IDeg and insulin glargine (IGlar), both in combination with metformin ± dipeptidyl peptidase-4 inhibitors, in a 52-week, open-label, treat-to-target trial in patients with type 2 diabetes followed by a 52-week extension trial in which subjects [n = 725/1030 (70.4%)] maintained their initial randomised treatment. Health status was assessed at baseline and 105 weeks using the Short Form-36 (SF-36 v2) questionnaire. SF-36 scores were analysed (ITT population) using anova, with adjustments for covariates. At 105 weeks, the overall physical component score was significantly better with IDeg versus IGlar [treatment contrast (TC): 1.1 (0.1; 2.1)95% CI , p < 0.05]. This was largely because of significantly better physical functioning [TC: 1.1 (0.0; 2.3)95% CI , p < 0.05] and bodily pain sub-domain scores [TC: 1.5 (0.2; 2.9)95% CI , p < 0.05]. Improvements in health status with IDeg compared to IGlar were maintained after 2 years.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".