Clinical use of insulin degludec
Bibliographic record
Abstract
The limitations of current basal insulin preparations include concerns related to their pharmacokinetic and pharmacodynamic properties, hypoglycaemia, weight gain, and perception of management complexity, including rigid dosing schedules. Insulin degludec (IDeg) is a novel basal insulin with improved pharmacokinetic and pharmacodynamic properties compared to insulin glargine (IGlar) including a long half-life of ∼25 h and a duration of action >42 h at steady state, providing a flat and stable blood glucose-lowering effect when injected once daily. Evidence from phase 3a clinical trials with a treat-to-target design in patients with type 1 and type 2 diabetes has shown that IDeg has similar efficacy to IGlar, with a 9% and 26% reduction in risk of overall and nocturnal hypoglycaemia, respectively (in the pooled population) during the entire treatment period, and a 16% and 32% reduction during the maintenance period, respectively. Given its pharmacodynamic properties, IDeg offers a broad dosing window, allowing for flexible dose administration, if required. Two different formulations of IDeg are available (100 units/mL [U100] and 200 units/mL), the latter providing the same IDeg dose as the U100 formulation in half the injection volume. The unique pharmacokinetic profile of IDeg facilitates glycaemic control while minimising the risk of nocturnal hypoglycaemia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".