Changes in pattern of use, clinical characteristics and persistence rate of hormone replacement therapy among postmenopausal women after the WHI publication
Bibliographic record
Abstract
UNLABELLED: The WHI was stopped prematurely because of an increased risk of breast cancer, stroke and cardiovascular diseases (CVD) in the hormone replacement therapy (HRT) arm of the trial. Changes in the use of HRT are expected. OBJECTIVE: To assess the impact of the Women's Health Initiative (WHI) publication on the rate of HRT prescription, and the clinical characteristics and persistence rate of new users and its determinants. METHODS: From the RAMQ databases, the total numbers of HRT prescriptions, and of new HRT's users were calculated between 2 January 1998 and 31 May 2003. To assess the clinical characteristics of women, two retrospective cohorts of new HRT's users were constructed before (pre-WHI) and after (post-WHI) the WHI study publication. The persistence rate after 1 year of follow-up was estimated using a Kaplan-Meier analysis. Cox regression models were used to estimate the rate ratio of HRT cessation. RESULTS: The total numbers of HRT users and of new users declined respectively by 28% and 50% in post-WHI. The standard dosage of HRT was significantly less used, while the proportion of women with risk factors of CVD or at very high risk of coronary artery disease (CAD) did not change. The rate of persistence in the pre-WHI cohort was 59% compared to 45% in the post-WHI (p < 0.0001), and women with risk factors of CVD or at very high risk of CAD were less likely to cease their HRT. CONCLUSION: One year after publication, significant changes had already occurred in the trends of use, women's characteristics and estrogen dosage. No change in the proportion of new users with CVD risk factors or at very high risk of CAD was seen.
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 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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".