Targeting vasomotor symptoms with the new drug fezolinetant – an expert overview
Bibliographic record
Abstract
Menopause is an inevitable event in the life of women who live long enough to reach this milestone. The experience of menopause varies amongst individuals. Menopause has a negative impact on women's life and is associated with symptoms including vasomotor symptoms (VMS), such as hot flushes and night sweats, sleep disturbances and low mood. VMS are bothersome and may have a long duration. Menopause hormone therapy (MHT) is recommended in women with symptoms; however, its use is limited. The recent approval of fezolinetant offers a new therapeutic option for women who suffer from VMS and are unsuitable or averse to MHT. Fezolinetant is a precision drug as it targets the pathological mechanism of VMS showing some effect also on sleep disturbances. Given how variable the experience of menopause is, it is important to offer individualized treatment options to women who suffer from menopause-related symptoms and let them be part of the shared decision making.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".