Bibliographic record
Abstract
Estrogen used alone (estrogen replacement therapy [ERT]) or with the addition of progesterone (hormone replacement therapy [HRT]) is known to be effective in reducing menopausal symptoms including hot flashes, vaginal dryness and urinary symptoms. It has been traditionally contraindicated, however, in women with a previous diagnosis of breast cancer because of fear that it may increase the risk of recurrence. There are considerable basic scientific data but little methodologically strong observational data and none from randomized studies concerning the use of ERT in women with a prior diagnosis of breast cancer. From our knowledge of the physiology of breast cancer, however, estrogen and/or progestational agents should be used with caution in women with a previous diagnosis of breast cancer. There are currently many alternatives to ERT/HRT in the prevention of menopausal symptoms such as vitamin E, clonidine and selective serotonin reuptake inhibitor antidepressants such as venlafaxine. There are also a variety of other approaches to the prevention of osteoporosis and cardiovascular disease including bisphosphonates, diet, and exercise; and diet, exercise, and statins, respectively. Other suggested beneficial effects of estrogen such as colon cancer prevention can be approached by the use of aspirin or the non-steroidals. Several trials of ERT/HRT used for 2 years versus no therapy in menopausal women with a previous diagnosis of breast cancer are ongoing in Europe and Britain, and should give us stronger data as to the role of HRT in this setting.
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 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".