Initiating insulin therapy with, or switching existing insulin therapy to, biphasic insulin aspart 30/70 (NovoMix<sup>®</sup>30) in routine care: safety and effectiveness in patients with type 2 diabetes in the IMPROVE™ observational study
Bibliographic record
Abstract
AIMS: The IMPROVE observational study evaluated the safety profile and effectiveness of biphasic insulin aspart 30/70 (BIAsp 30) in patients with type 2 diabetes in routine practice in 11 countries. METHODS: Patients who initiated insulin therapy with, or switched existing insulin therapy to, BIAsp 30 in routine care were eligible for this 26-week, non-interventional observational study. Data on adverse events, hypoglycaemia and glycaemic parameters were obtained from patients' diaries and medical notes. Questionnaire-based patient treatment satisfaction was also measured. We report global results and, uniquely for a diabetes observational study, country-specific data. RESULTS: A total of 52,419 patients were enrolled from three prestudy treatment groups: no pharmaceutical therapy (n = 8966, diabetes duration 2.0 years, baseline HbA1c 9.9%), oral antidiabetic drugs (OADs) only (n = 33,797, diabetes duration 7.4 years, baseline HbA1c 9.2%) and insulin +/- OADs (n = 9568, diabetes duration 10.4 years, baseline HbA1c 9.3%). At final visit, HbA1c, fasting and postprandial blood glucose were significantly reduced from baseline in all subgroups (no pharmaceutical therapy: -3.1%, -5.9 and -9.0 mmol/l, respectively; OADs-only: -2.1%, -4.1 and -6.1 mmol/l; insulin +/- OADs: -2.0%, -3.3 and -5.1 mmol/l). Major hypoglycaemia rates decreased in all subgroups; minor hypoglycaemia increased in the insulin-naïve groups. There was no mean weight gain across subgroups. Across all countries, glycaemic parameters and major hypoglycaemia were reduced; weight increases were seen in some countries. Treatment satisfaction increased in all subgroups and countries following BIAsp 30 therapy. CONCLUSIONS: Initiating insulin with, or switching insulin therapy to, BIAsp 30 in routine care resulted in improved glycaemic control, reduced major hypoglycaemia and greater treatment satisfaction.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".