Abstract 17828: Sex Differences in Mortality Trends of Rheumatic Heart Disease in High-Income Countries
Bibliographic record
Abstract
Introduction: Rheumatic heart disease has traditionally been considered to be more prevalent among females; however, current trends in mortality in each sex are unclear in high-income countries. Hypothesis: We hypothesized that mortality from rheumatic heart disease is higher among females but has improved in both sexes in high-income countries. Methods: We analyzed the WHO mortality database to determine trends in mortality from rheumatic heart disease in the UK, Germany, France, Italy, Japan, Australia, the USA, and Canada from 2000 to 2020. Sex-specific age-standardized mortality rates per 100,000 persons were calculated and compared by using female-to-male ratio. Annual percentage change was analyzed using joinpoint regression. Results: In the most recent year, female sex-specific age-standardized mortality rates were significantly higher in the UK (0.60 vs 0.44), Italy (1.24 vs 0.98), the USA (0.63 vs 0.47) and Canada (0.79 vs 0.57). Over the observation period, there was a trend to deceasing sex-specific age-standardized mortality rates in both sexes in the UK, France, Japan, and USA (p<0.01, respectively) and only in female sex in Italy and Australia (p<0.01, respectively), while the mortality rates in both sexes were constant in Canada and demonstrated increasing trends in Germany. Average female-to-male mortality rates ranged from 1.07 (95% CI, 1.02, 1.11) in France to 1.59 (95% CI, 1.51, 1.67) in the UK and were decreasing toward 1 with statistical significance in all countries (average annual change ranged from -1.6% to -0.6%) except for France. Conclusions: Mortality from rheumatic heart disease in females exhibited a decreasing trend in the 6 studied high-income countries while increasing in Germany and constant in Canada. Female-dominated mortality was becoming less pronounced in the studied high-income countries, with the exception of France, which already had the lowest average female-dominant mortality rates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".