Trends in the incidence of acute myocardial infarction between 1984 and 1993 - The Halifax County MONICA Project.
Bibliographic record
Abstract
BACKGROUND: According to vital statistics data for Halifax County, between 1984 and 1993 the annual mortality rate decreased for ischemic heart disease and myocardial infarction (MI). OBJECTIVES: To estimate the change in MI mortality, applying standardized diagnostic criteria; to determine whether decreased case fatality or decreased MI event rate, or both, caused decreased mortality; and to determine the contribution of MI incidence rate to altered event rate. PATIENTS AND METHODS: All persons in the study area aged 25 to 74 years and admitted to hospital or dying outside hospital with suspected acute coronary syndromes were registered prospectively. Demographic, health history and clinical data were extracted from medical records or collected from medical examiner reports, next-of-kin interviews or family physicians. Definite or possible MI was diagnosed according to World Health Organization MONItoring of trends and determinants in CArdiovascular disease (MONICA) criteria. Trends in age- and sex-standardized rates were estimated by using log-linear regression analysis. RESULTS: Of 4283 patients admitted to hospital for MI, 23.9% died within 28 days; 1401 patients who had suffered an MI died before admission to hospital. MI mortality decreased annually by 3.9% (95% CI 1.9 to 5.8); two-thirds of the decline was due to MI event rates (2.6%; CI 1.3 to 3.8) and one-third to a decrease in 28-day case fatality (1.3%; CI 0.2 to 2. 3). A decrease in MI incidence rate (3.2%; CI 1.7 to 4.8), rather than a decline in MI recurrence rate (1.4%; CI 0.7 to -3.5), was the major reason for the declining event rate. CONCLUSIONS: A decrease in the incidence of MI, possibly due to primary prevention, had a major impact on the declining MI mortality. Decreased in-hospital MI fatality, possibly due to improved treatment, was responsible for the decline in case fatality.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".