The IMPROVE™ study - a multinational, observational study in type 2 diabetes: baseline characteristics from eight national cohorts
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: The IMPROVE study is a multinational, open-label, non-randomised, 26-week observational study assessing the safety and effectiveness of biphasic insulin aspart 30 (BIAsp 30) treatment in type 2 diabetes in routine clinical practice. The principal aims of this report were to characterise the baseline population and physicians' treatment decisions. METHODS: Patients with type 2 diabetes who required insulin and whose physician had decided to initiate BIAsp 30 were eligible. At baseline, demographic data and detailed medical histories were collected and physicians recorded their reasons for starting BIAsp 30, the glycaemic targets set and the regimens chosen. RESULTS: Data from 51,286 patients were included in analyses. Baseline glycaemic control was poor in all eight countries in the present analysis and in all prestudy treatment groups [no therapy, oral antidiabetic drugs (OADs) only, insulin with or without OADs], and the rates of vascular complications were high. Although the management of each of the three main measures of glycaemic control were key reasons for starting BIAsp 30, target-setting for postprandial glucose levels was variable. A twice-daily regimen was used to start BIAsp 30 therapy for 80% or more of patients. CONCLUSIONS: The IMPROVE baseline data reaffirm the global nature of poor glycaemic control in type 2 diabetes and echo the concerns that initiation of therapy, particularly insulin, is commonly delayed in clinical practice. Although postprandial glucose control was a key driver for physicians' choice of BIAsp 30, this was not consistently reflected in the targets set.
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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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it