Progesterone for Symptomatic Perimenopause Treatment - Progesterone politics, physiology and potential for perimenopause.
Bibliographic record
Abstract
Perimenopause, women's normal midlife reproductive transition, is highly symptomatic for about 20% of women who are currently inaccurately counseled and inappropriately treated with oral contraceptives, menopausal hormone therapy or hysterectomy. About 80% of perimenopausal women experience vasomotor symptoms (VMS), 25% have menorrhagia, and about 10% experience mastalgia. The majority of women describe varying intensities of sleep, -coping or mood difficulties. Women are more symptomatic because common knowledge inaccurately says that estradiol (E2) levels are dropping/deficient. Evidence shows that with disturbed brain-ovary feedbacks, E2 levels average 26% higher and soar erratically - some women describe feeling pregnant! Also, ovulation and progesterone (P4) levels become insufficient or absent. The most symptomatic women have higher E2 and lower P4 levels. Because P4 and E2 complement/counterbalance each other's tissue effects, oral micronized P4 (OMP4 300 mg at -bedtime) is a physiological therapy for treatment-seeking, symptomatic perimenopausal women. Given cyclically (cycle d 14-27, or 14 on/off) in menstruating midlife women, OMP4 decreases cyclic VMS, improves sleep and premenstrual mastalgia. Menorrhagia is treated with ibuprofen 200mg/6h plus OMP4 cycle d 4-28. For insulin resistance, metformin plus cyclic or daily OMP4 decreases insulin resistance and weight gain. Non-responsive migraines need daily OMP4 plus usual therapies. VMS and insomnia in late perimenopause respond to daily OMP4. In summary, OMP4 is a physiology-based therapy that improves sleep, treats VMS, does not increase breast proliferation or cancer risk, increases bone formation and has beneficial cardiovascular effects. A controlled trial is testing OMP4 for perimenopausal VMS - more evidence-based data are needed.
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) | 0.000 | 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 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".