Acute myocardial infarction hospitalization and treatment: Areas with a high percentage of First Nations identity residents.
Bibliographic record
Abstract
BACKGROUND: Deaths from acute myocardial infarction (AMI) are higher among First Nations people than among non-Aboriginal Canadians. Hospital interventions often involve revascularization: percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG). Because patients' ethnicity is not reported consistently in hospital records, no national information is available about AMI hospitalizations or the use of such procedures among First Nations people. DATA AND METHODS: This study uses an area-based approach to identify AMI hospital patients who live in Dissemination Areas with relatively high percentages of First Nations residents. Within the AMI patient cohort, procedures received during the hospital admission were identified. RESULTS: The age-standardized hospitalized AMI event rates were 276.8 per 100,000 population for residents of high-percentage First Nations identity areas and 157.1 per 100,000 population for residents of low-percentage Aboriginal identity areas. AMI patients from high-percentage First Nations identity areas were less likely than patients from low-percentage Aboriginal identity areas to undergo revascularization, a difference largely driven by a lower PCI procedure rate. The lower PCI procedure rate persisted when controlling for age, sex, rural/urban residence, and the patient's condition at admission. INTERPRETATION: Residents of high-percentage First Nations identity areas were more likely to be hospitalized for AMI, but were less likely to undergo revascularization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".