Relationship between HbA<sub>1c</sub> and hypoglycaemia in patients with type 2 diabetes treated with different insulin regimens in combination with metformin
Bibliographic record
Abstract
BACKGROUND: To examine the relationship between glycaemic control and hypoglycaemia in patients with type 2 diabetes treated with metformin (Met) and either insulin lispro mixtures, given twice or thrice daily (LM + Met), or insulin glargine, given once daily (G + Met). METHODS: Data from three randomized clinical trials were pooled to compare effects of LM + Met with G + Met. RESULTS: The LM + Met group achieved lower mean HbA(1c) (mean+/-SE, 7.2+/-0.1 vs. 7.7+/-0.1%, p<0.0001) and all meals combined post-prandial blood glucose (BG) (8.9+/-0.1 vs. 10.2+/-0.1 mmol/L, p<0.0001) compared with the G + Met group, but had higher fasting blood glucose (8.1+/-0.1 vs. 6.8+/-0.1 mmol/L, p<0.0001) and insulin requirement (0.7+/-0.01 vs. 0.6+/-0.01 U/kg, p<0.0001). Over the entire study period, daytime hypoglycaemia was higher for the LM + Met group (10.3 vs. 3.5 episodes/patient/year, p<0.0001) than for the G + Met group; however, nocturnal hypoglycaemia was lower (3.4 vs. 6.6 episodes/patient/year, p=0.003). At endpoint, daytime hypoglycaemia was higher for the LM + Met group (6.2 vs. 1.4 episodes/patient/year, p<0.0001); however, nocturnal hypoglycaemia was similar in both groups (1.9 vs. 3.0 episodes/patient/year). An inverse relationship was observed between all confirmed hypoglycaemia and HbA(1c) at endpoint; for every 1% reduction in HbA(1c), the increase (in slope) was 1.4 episodes/patient/year (p=0.04). Patients with confirmed hypoglycaemia had lower HbA(1c) than patients without hypoglycaemia (7.39 vs. 7.64%, respectively; decrement=0.26%, p=0.026). CONCLUSIONS: These studies demonstrated an inverse relationship between HbA(1c) and 24-h and daytime hypoglycaemia. Lispro insulin mixtures provided lower HbA(1c) and post-prandial blood glucose values than glargine, but caused more daytime hypoglycaemia. Frequency of nocturnal hypoglycaemia was similar and severe hypoglycaemia was rare with both insulin regimens.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".