Treatment of Menopause-Related Mood Disturbances
Bibliographic record
Abstract
More than 1.7 million American women are expected to reach menopause each year. Recent Canadian statistics show that a 50-year-old woman can now expect to live until her mid-80s, which implies living at least one-third of her life after menopause. The menopausal transition is typically marked by intense hormonal fluctuations, accompanied by vasomotor symptoms (eg, hot flashes, night sweats), sleeps disturbance, and changes in sexual function, as well as increased risk for osteoporosis, cardiovascular disease, and cognitive decline. More importantly, recent studies have demonstrated a significant association between menopausal transition and a higher risk for developing depression. In the post-Women's Health Initiative Study era, physicians and patients are questioning the safety and efficacy of long-term hormone therapy use. This article reviews the current literature on the benefits and risks of using hormone therapy for the treatment of menopause-related mood disturbances and alternate strategies currently available for the management of menopause-related problems, including antidepressants, complementary and alternative medicine, and selective estrogen receptor modulators.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".