AUDIT study. Evidence of global undertreatment of dyslipidaemia in patients with type 2 diabetes mellitus
Bibliographic record
Abstract
The Analysis and Understanding of Diabetes and Dyslipidaemia: Improving Treatment (AUDIT) study was a confidential, web-based, cross-sectional survey involving 2,043 diabetes specialists in 50 countries. The study investigated the attitudes of physicians specialising in the treatment of patients with type 2 diabetes mellitus towards the management of dyslipidaemia and other cardiovascular risk factors in these patients. Physicians reported obtaining lipid profiles in 91% of patients with type 2 diabetes and estimated that 62% of type 2 diabetic patients have dyslipidaemia. Across all regions, stated low-density lipoprotein cholesterol (LDL-C), triglyceride and total cholesterol targets were lower for type 2 diabetic patients with than without cardiovascular disease (CVD). Fewer physicians reported having an LDL-C target of < 2.6 mmol/L (≤100 mg/dL) for patients without CVD (59%) than with CVD (85%). Physicians reported that 54% of patients achieve LDL-C targets, with significantly more estimated to achieve their LDL-C goal in North America (69%) than in any other region (43—61%; p<0.001). When setting targets, 58% of physicians stated that they were most influenced by lipid management guidelines, although a large proportion of physicians from Eastern Europe (54%) and Africa/Middle East (50%) cited a personal read of the literature. Patient compliance was the most commonly perceived barrier to lipid goal attainment in most regions (42—61%); financial constraints were cited most often in South America (76%), Africa/Middle East (65%) and Eastern Europe (63%). The AUDIT study revealed a disparity between lipid screening and control in type 2 diabetic patients. Physicians reported that they treated patients without CVD less intensively than patients with CVD, suggesting that type 2 diabetes was not widely considered a coronary heart disease risk equivalent. A reassessment of guideline implementation is needed for physicians worldwide to improve lipid control to decrease cardiovascular risk in type 2 diabetes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".