Cardiovascular disease mortality in the Americas: current trends and disparities
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To describe the current situation and trends in mortality due to cardiovascular disease (CVD) in the Americas and explore their association with economic indicators. DESIGN AND SETTING: This time series study analysed mortality data from 21 countries in the region of the Americas from 2000 to the latest available year. MAIN OUTCOMES MEASURES: Age-adjusted death rates, annual variation in death rates. Regression analysis was used to estimate the annual variation and the association between age-adjusted rates and country income. RESULTS: Currently, CVD comprised 33.7% of all deaths in the Americas. Rates were higher in Guyana (292/100 000), Trinidad and Tobago (289/100 000) and Venezuela (246/100 000), and lower in Canada (108/100 000), Puerto Rico (121/100 000) and Chile (125/100 000). Male rates were higher than female rates in all countries. The trend analysis showed that CVD death rates in the Americas declined -19% overall (-20% among women and -18% among men). Most countries had a significant annual decline, except Guatemala, Guyana, Suriname, Paraguay and Panama. The largest annual declines were observed in Canada (-4.8%), the USA (-3.9%) and Puerto Rico (-3.6%). Minor declines were in Mexico (-0.8%) and Cuba (-1.1%). Compared with high-income countries the difference between the median of death rates in lower middle-income countries was 56.7% higher and between upper middle-income countries was 20.6% higher. CONCLUSIONS: CVD death rates have been decreasing in most countries in the Americas. Considerable disparities still remain in the current rates and trends.
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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 | 0.000 |
| 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 it