Molecular Mechanism for Breast Cancer Incidence in the Women's Health Initiative
Bibliographic record
Abstract
The Women's Health Initiative (WHI) was designed to evaluate the benefits of hormone replacement therapy. The primary goal was to establish the value of synthetic progestin and estrogen or estrogen alone to reduce the risk of coronary heart disease (CHD). The estrogen/synthetic progestin trial was stopped at 5.2 years and the estrogen trial was stopped after 6.8 years. Although the estrogen/synthetic progestin trial was stopped for the anticipated rise in the risk of breast cancer, the estrogen trial was stopped for elevation of strokes. Women taking estrogen/synthetic progestin or estrogen alone had no benefit from a reduction in CHD. Paradoxically, there was a decrease in breast cancer incidence in the estrogen trial. The decrease in breast cancer was sustained. The elevation of breast cancer in the estrogen/synthetic progestin trial was also sustained a decade after stopping treatment. Evidence is presented to explain the paradoxical sustained decrease in breast cancer with estrogen and the mechanism for the reversal of breast cancer incidence and mortality with the mixed synthetic progestin/glucocorticoid actions of the synthetic progestin used with estrogen in women with an intact uterus. The fact that the WHI study had an estrogen deprivation gap of at least 5 years, introduced an experimental biological dimension not observed in medical practice using progestin/estrogen hormone replacement. The evidence presented confirms the known human cancer biology of estrogen action.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".