Menopause and hair loss in women: Exploring the hormonal transition
Bibliographic record
Abstract
Menopause, which is defined as the cessation of menstruation, may be preceded by hormonal fluctuations during the transition to menopause, up to 10 years prior. During this time, hormonal changes, including the relative increase in androgens and the cessation of ovarian estrogen production directly impacts the hair follicle, which is an estrogen-sensitive tissue. These hormonal fluctuations can lead to alterations in the hair shaft and hair cycle, including decreased density, decreased caliber, and changes in hair texture. Additionally, loss of estrogen after the onset of menopause may lead to sub-optimal metabolic and vascular functioning of the follicular unit. The overall decline in hair density, appearance and manageability can have significant emotional impact and affect overall mental health, with feelings of stress, anxiety, and diminished self-esteem. In addition to the physiologic changes that can occur in the hair follicle during menopause, certain hair disorders, including female-pattern hair loss, telogen effluvium, and frontal fibrosing alopecia, have been noted with higher frequency in post-menopausal women.
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".