The Canadian Women’s Heart Health Alliance ATLAS on the Epidemiology, Diagnosis, and Management of Cardiovascular Disease in Women—Chapter 2: Scope of the Problem
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: This Atlas chapter summarizes the epidemiology of cardiovascular disease (CVD) in women in Canada, discusses sex and gender disparities, and examines the intersectionality between sex and other factors that play a prominent role in CVD outcomes in women, including gender, indigenous identity, ethnic variation, disability, and socioeconomic status. METHODS: CVD is the leading cause of premature death in Canadian women. Coronary artery disease, including myocardial infarction, and followed by stroke, accounts for the majority of CVD-related deaths in Canadian women. The majority of emergency department visits and hospitalizations by women are due to coronary artery disease, heart failure, and stroke. The effect of traditional cardiovascular risk factors and their association with increasing cardiovascular morbidity is unique in this group. RESULTS: Indigenous women in Canada experience increased CVD, linked to colonization and subsequent social, economic, and political challenges. Women from particular racial and ethnic backgrounds (ie, South Asian, Afro-Caribbean, Hispanic, and Chinese North American women) have greater CVD risk factors, and CVD risk in East Asian women increases with duration of stay in Canada. CONCLUSIONS: Canadians living in northern, rural, remote, and on-reserve residences experience greater CVD morbidity, mortality, and risk factors. An increase in CVD risk among Canadian women has been linked with a background of lower socioeconomic status, and women with disabilities have an increased risk of adverse cardiac events.
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.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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