Insulin glargine 300 U/<scp>mL</scp> and insulin degludec: A review of the current evidence comparing these two second‐generation basal insulin analogues
Bibliographic record
Abstract
For most people with type 2 diabetes (T2D), treatment intensification with the addition of basal insulin therapy is required to maintain glycaemic control. However, this often does not happen in real-life practice promoting the development of long-term diabetes-related complications. The second-generation basal insulin analogues glargine 300 U/mL (Gla-300) and degludec (IDeg) provide pharmacokinetic and pharmacodynamic improvements that may allow them to be more effective in appropriately managing diabetes compared with first-generation basal insulin analogues. Both Gla-300 and IDeg have been extensively studied vs the first-generation basal insulin glargine 100 U/mL, demonstrating comparable efficacy in terms of glycaemic control, and a lower risk of hypoglycaemia. The BRIGHT randomized controlled trial is the first direct comparison of the efficacy and safety profiles of Gla-300 and IDeg in patients with T2D. Moreover, real-world data have been used to assess the effectiveness of these basal insulins during routine clinical practice. Further research is required to determine if the properties of Gla-300 and IDeg may lead to improvements in healthcare-related costs and the quality of life of patients, which are important factors for informing clinical decisions.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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".