HEALTHY LIFESTYLE FACTORS AND COMBINED MACROVASCULAR AND MICROVASCULAR EVENTS IN DIABETES PATIENTS WITH HIGH CARDIOVASCULAR RISK: RESULTS FROM ADVANCE
Bibliographic record
Abstract
Objective: To explore whether healthy lifestyle factors (HLFs) predict a lower risk of major macrovascular and microvascular events and death in people with type 2 diabetes (T2D) with a high risk of vascular complications.Design and method: Post hoc analyses of 11,133 participants with T2D in the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial who were assigned a score ranging from 0 to 4 based on the number of baseline HLFs: never smoked, moderate-to-vigorous physical activity, ideal waist/hip ratio, and low-to-moderate alcohol consumption. Multivariable Cox models were used to determine associations of 0, 1, 2, and >=3 HLFs with vascular events and all-cause mortality. Results: Compared to participants with no HLF, hazard ratios for participants with 3 or 4 HLFs were 0.68 (95% confidence interval [CI] 0.57-0.81) for the composite of major macrovascular or microvascular events, 0.58 (0.46-0.75) for major macrovascular events, 0.78 (0.61-0.99) for microvascular events, and 0.48 (0.37-0.63) for all-cause mortality during a median follow-up of 5 years. Each increment in HLF score was significantly associated with lower rates of these outcomes. There was no heterogeneity in the effect on any outcome by HLF across randomized intensive blood glucose control and blood pressure lowering treatments. Conclusions: HLFs are associated with lower risks of major macrovascular and microvascular events and lower rates of death in high-risk adults with T2D.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".