Abstract 4117645: Ischemic Heart Disease Trends in Canada: A 30-Year Epidemiological Study
Bibliographic record
Abstract
Introduction: Ischemic heart disease (IHD) results from coronary artery blockages that impede myocardial blood flow. We aim to examine the temporal trends of IHD in Canada from 1990 to 2019, assessing age-standardized mortality, disability-adjusted life years (DALYs), and other health indicators. Methods: We analyzed data from the 2019 Global Burden of Disease study on Canadian IHD cases over three decades. The study investigated age-standardized deaths, DALYs, years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence across both sexes. We performed statistical analyses using Microsoft Excel 16.63.1. Results: Over the period from 1990 to 2019, Canadian men and women experienced notable decreases in IHD incident rates [-45.11%], overall mortality [-60.64%], YLLs [-62.824%], prevalence [-26.778%], YLDs [-48.729%], and DALYs [-50.467%]. Detailed analysis revealed a reduction in death rates by 61.311% in men and 61.119% in women, while YLLs decreased by 63.115% for men and 63.808% for women. Similarly, DALYs showed a decline of 62.67% for men and 63.25% for women. Prevalence rates fell by 25.417% in women and 29.594% in men, whereas YLDs decreased by 51.148% for women and 49.172% for men. The 2019 data confirmed a per 100,000 population count of 48.78 YLDs, 1020.28 YLLs, and 1069.06 DALYs across both sexes. Conclusions: This study illustrates a significant decrease in ischemic heart disease (IHD) metrics in Canada from 1990 to 2019, highlighting notable reductions in mortality, prevalence, and disability rates among both genders. The findings underscore the effectiveness of healthcare improvements and public health initiatives and IHD. Despite these advancements, IHD continues to pose a substantial health challenge, indicating the need for ongoing efforts in medical care, policy-making, and lifestyle modifications to further alleviate the disease's burden in Canada.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".