Association of hormone therapy with cardiovascular events in females using statins for prevention
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
OBJECTIVE: The association of hormone therapy (HT) combined with statin use for primary prevention of cardiovascular disease remains uncertain. This study aimed to assess the effect of HT, initiated before the age of 60 years, on all-cause mortality and cardiovascular events in females using statins for primary prevention. METHOD: This population-based, retrospective cohort study included all females aged 40-60 years in British Columbia, Canada, who used statins for primary prevention. The exposure was defined as systemic HT, including estrogen alone or combined with a progestogen, excluding local preparations of estrogen. The study used Cox proportional hazards models from the study start date to the outcome. RESULTS: After exact matching on age using up to a 1-to-4 match, 685 (20%) of the 3,425 statin users initiated HT within the first year of follow-up. HT use was not significantly associated with all-cause mortality after adjusting for confounders (adjusted hazard ratio [aHR], 1.17; 95% confidence interval [CI], 0.87-1.58). Similarly, for the secondary outcome of composite cardiovascular events, HT use did not significantly increase risk (aHR, 0.95; 95% CI, 0.75-1.20). CONCLUSION: This study found that HT, when initiated before age 60 years, was not associated with an increased risk of all-cause mortality or cardiovascular events in females using statins for primary prevention.
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 | 0.000 | 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