Evolution of the burden of aortic stenosis by sex in the province of Quebec between 2006 and 2018
Bibliographic record
Abstract
OBJECTIVES: To evaluate the evolution of the burden of aortic stenosis (AS) by sex in the province of Quebec from 2006-2007 to 2018-2019 and compare the percentage of mortality between people who underwent aortic valve intervention and those who did not. METHODS: Persons aged ≥20 years were identified from the Quebec Integrated Chronic Disease Surveillance System using International Classification of Diseases and intervention codes in the hospital files. RESULTS: In 2018, the crude prevalence and incidence of AS were 0.89% (99% CI 0.89 to 0.90) (n=59 025) and 1.39 per 1000 (1.35 to 1.43) (n=9105), respectively. Age-standardised prevalence and incidence of AS diagnosis increased between 2006 and 2018 from 0.67% (0.66 to 0.68) to 0.75% (0.74 to 0.76) and from 0.91 per 1000 (0.88 to 0.95) to 1.20 per 1000 (1.17 to 1.23), respectively. Among incident AS, the age-standardised percentage of valve interventions increased from 11.7% (10.9 to 12.6) to 14.5% (13.9 to 15.3). This increase was only observed in men. The 30-day mortality was stable among patients with incident AS treated conservatively, from 6.9% (6.5 to 7.4) to 7.3% (6.9 to 7.6), and decreased from 7.6% (6.1 to 9.3) to 3.8% (3.1 to 4.7) among operated patients with incident AS. This decrease was only observed in women. However, from 2010, the age-adjusted mortality among prevalent AS tended to be higher in women. CONCLUSIONS: In the province of Quebec, age-standardised prevalence and incidence of AS diagnosis increased between 2006 and 2018. Among incident AS, there was an increase in valve intervention in men and a decrease in 30-day mortality in women who underwent valve intervention. Overall and age-standardised mortality remained higher in women.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".