Fast-Acting Insulin Aspart and the Need for New Mealtime Insulin Analogues in Adults With Type 1 and Type 2 Diabetes: A Canadian Perspective
Bibliographic record
Abstract
Limiting postprandial glucose (PPG) excursions is an important aspect of overall glycemic control. Rapid-acting insulin analogues (RAIAs) aim to mimic the physiologic action of endogenous insulin observed in individuals without diabetes and prevent excessive PPG excursions. However, many people with type 1 diabetes and type 2 diabetes treated with RAIAs do not achieve glycated hemoglobin (A1C) targets, and there is an unmet need for further improvements in PPG control. Current RAIAs have a delayed onset and a longer duration of action compared with endogenous insulin secreted in response to meals. Approaches to developing new mealtime insulins with accelerated absorption kinetics include changing the route of administration (i.e. via inhalation) and changing the insulin formulation. Fast-acting insulin aspart (faster aspart) is a novel formulation of insulin aspart (IAsp) containing the excipients niacinamide and L-arginine. Faster aspart has an earlier onset of insulin exposure and a greater early glucose-lowering effect than IAsp. In large clinical trials, mealtime faster aspart demonstrated noninferiority to IAsp with respect to A1C reduction and provided superior PPG control with no increase in overall severe or blood glucose-confirmed hyperglycemia. In addition, faster aspart administered up to 20 min after the start of a meal was noninferior to mealtime IAsp in terms of A1C control, highlighting the opportunity for postmeal dosing. Faster aspart is the first of a new generation of mealtime insulins to be approved in Canada for the treatment of adults with type 1 diabetes and type 2 diabetes, and it is included in the 2018 Diabetes Canada clinical practice guidelines.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".