Sex differences in management and outcomes of patients with type 2 diabetes and cardiovascular disease: A report from TECOS
Bibliographic record
Abstract
AIM: To examine sex differences in baseline characteristics and outcomes in patients with type 2 diabetes and atherosclerotic vascular disease. MATERIALS AND METHODS: Cox models were used to analyse the association between sex and outcomes in the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS), a randomized, placebo-controlled trial assessing the impact of sitagliptin on cardiovascular (CV) outcomes in patients with type 2 diabetes and atherosclerotic vascular disease. RESULTS: A total of 4297 women and 10 374 men were followed for a median of 3.0 years. Women were slightly older and more often had cerebrovascular disease and peripheral arterial disease but less often coronary heart disease than men. At baseline, women were less likely to use aspirin or statins. The primary composite outcome of CV death, myocardial infarction, stroke, or hospitalization for unstable angina occurred in 418 women (9.7%) and 1272 men (12.3%; 3.48 vs 4.38 events/100 participant-years, crude hazard ratio [HR] 0.79, 95% confidence interval [CI] 0.71-0.89, adjusted HR 0.64, 95% CI 0.55-0.74; P < .0001). Women also had a significantly lower risk of secondary CV outcomes and all-cause death. CONCLUSIONS: In this large prospective study of people with type 2 diabetes and CV disease, women had different CV disease burden, worse CV risk factor profiles, and less use of indicated medications than men. Despite this, women had significantly lower risk of CV events, suggesting that the cardioprotective effects of female sex extend to populations with 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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".