Impact of diabetes and gender on survival after acute myocardial infarction in the Province of Quebec, Canada—a population‐based study
Bibliographic record
Abstract
AIMS: To examine the impact of diabetes, gender and their interaction on 30-day, 1-year and 5-year post-acute myocardial infarction (AMI) mortality in three age groups (20-64, 65-74 and > or = 75 years). METHODS: Retrospective analysis including 23 700 patients aged > or = 20 years (22% with diabetes) admitted to hospital for a first AMI in any hospital in the Province of Quebec, Canada, between April 1995 and March 1997. Administrative databases were used to identify patients and assess outcomes. RESULTS: Regarding 30-day mortality, there was non-significant interaction between diabetes and gender. Women aged < 75 years had, independently of diabetes status, at least a 38% (P < 0.05) higher mortality than their male counterparts after adjustment for socio-economic status and co-morbid conditions. Gender difference disappeared, however, after controlling for in-hospital complications. Regarding 1-year mortality (31-365 days), there was no significant gender disparity for all age groups. During the 5-year follow-up, no gender differences were seen in any age group, except for younger (< 65 years) women with diabetes, who had a 52% (P = 0.004) higher mortality than men after controlling for co-variables. This female disadvantage was demonstrated by a significant interaction between diabetes and gender in patients aged < 65 years (P = 0.009). CONCLUSIONS: The higher 30-day mortality post-AMI in younger (20-64 years) and middle-aged (65-74 years) women compared with men was not influenced by diabetes status. However, during the 5-year follow-up, the similar gender mortality observed in patients without diabetes seemed to disappear in younger patients with diabetes, which may be explained by the deleterious, long-term, post-AMI impact of diabetes in younger women.
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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 | 0.000 |
| 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".