Abstract 15518: Impact of Menopause on Cardiovascular Risk Factors Among Women Without Cardiovascular Disease: Insights From the CARTaGENE Study
Bibliographic record
Abstract
Background: The effect of menopausal status on the risk factors of cardiovascular (CV) disease is not well ascertained. We aimed to evaluate the impact of menopause on several traditional and non-traditional cardiovascular (CV) risk factors. Methods: The CARTaGENE study was a prospective cohort study with random sampling of individuals in Quebec, Canada. We completed a seven-year follow-up in 2016. For this analysis, we included only subjects without prior cardiovascular (CV) events (CVE) or CV interventions (CVI). We defined the primary endpoint as CVE which can be any of the following events: acute coronary syndromes, heart failure, strokes, CV deaths, and peripheral vascular events. The secondary endpoint was CVI which included coronary, carotid, or peripheral artery revascularization. We used Cox proportional hazard stepwise multivariate analyses to identify independent predictors of the primary endpoint separately in pre- and post-menopausal women. Results Of 9,529 women without prior CV disease, 57% were post-menopausal. The mean age was 47.4 years and 58.6 years for pre-menopausal and post-menopausal women, respectively. There were 793 CVEs and 83 CVIs with a median time to event of 6.6 years. Hypertension, active smoking, increased waist to hip ratio, and glycosylated hemoglobin were independent predictors of the primary endpoint in both pre- and post-menopausal women. Furthermore, advanced age, family history of myocardial infarction, prior cancer, increased gamma-glutamyl transferase, and hyperuricemia also predicted increased riks of the primary endpoint in post-menopausal women. Conclusion: Hypertension, active smoking, increased waist to hip ratio, and high glycosylated hemoglobin were associated with increased CV risk in pre-menopausal women. The impact of hypertension was markedly amplified in pre-menopausal women compared to postmenopausal women. Intensive blood pressure control should be considered in pre-menopausal 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| 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".