Second-generation Insulin Analogues – a Review of Recent Real-world Data and Forthcoming Head-to-head Comparisons
Bibliographic record
Abstract
Insulin analogues play a key role in the effective management of type 2 diabetes. However, there are several behavioural barriers to appropriate early initiation of insulin therapy, despite compelling evidence supporting the benefits of this strategy in those patients for whom oral anti-diabetes agents provide insufficient control. The development of second-generation insulin analogues (insulin glargine 300 U/mL and insulin degludec) has provided physicians with agents that can provide comparable glycaemic control to first-generation insulin, but with a reduced risk of hypoglycaemia and modes of action suited to once-daily regimens. These characteristics may help overcome patient and physician concerns about early insulin use in disease management. To date, there have been no head-to-head comparisons of second-generation insulins: here we consider recent real-world evidence and the forthcoming direct comparison in the BRIGHT randomised controlled study, as presented at the recent 11th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD) 2018.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".