Recent Trends in Cardiovascular Complications Among Men and Women With and Without Diabetes
Bibliographic record
Abstract
OBJECTIVE: To compare recent trends in cardiovascular disease (CVD) outcomes among men and women with diabetes with those in the nondiabetic population. RESEARCH DESIGN AND METHODS: We conducted a retrospective cohort study using provincial health claims data to identify adults with (n = 670,602) and without (n = 9,190,721) diabetes living in Ontario, Canada, between 1 April 1992 and 31 March 2000. We compared changes in the annual age-/sex-adjusted rates and numbers of subjects admitted for acute myocardial infarction (AMI) and stroke and of deaths from AMI, stroke, and all causes between those with and without diabetes. RESULTS: Over the 8-year period, the rate of patients admitted for AMI and stroke fell to a greater extent in the diabetic than the nondiabetic population (AMI: -15.1 vs. -9.1%, P < 0.0001; stroke: -24.2 vs. 19.4%, P < 0.0001). Diabetic patients experienced similar reductions in case-fatality rates related to AMI and stroke than those without diabetes (-44.1 vs. -33.2%, P = 0.1; -17.1 vs. -16.6%, P = 0.9, respectively). Declines in all-cause mortality were also comparable in the two populations. Over the same period, the number of diabetes cases increased from 405,471 to 670,602. Thus, while CVD rates fell, the number of events occurring in this population rose substantially (AMI: +44.6%, stroke: +26.1%, AMI deaths: +17.2%, and stroke deaths: +13.2%). CONCLUSIONS: Our findings demonstrate a significant reduction in the rate of people affected by CVD within the diabetic population. However, as the number of people with diabetes rises, so may the absolute burden of CVD in our society.
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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".