Pharmacokinetic evaluation of fezolinetant for the treatment of vasomotor symptoms caused by menopause
Bibliographic record
Abstract
INTRODUCTION: Vasomotor symptoms (VMS) affect the majority of menopausal women, with possible negative impact on several domains of quality of life (QoL). Although menopausal hormone therapy (MHT) represents an effective treatment, the risk-benefit profile is not favorable for every woman. Non-hormonal options are limited in number and efficacy. AREAS COVERED: Fezolinetant is a novel oral non-hormonal drug recently approved for the treatment of moderate-severe VMS. It acts as an antagonist of neurokinin 3 receptor (NK3R), the main target of neurokinin B (a tachykinin over-expressed by kisspeptin/neurokinin B/dynorphin [KNDy] neurons after menopausal hypoestrogenism), involved in the modulation of the thermoregulatory hypothalamic center. Here, we report pharmacodynamics and pharmacokinetic properties of fezolinetant as well as its efficacy and safety data from available clinical trials. EXPERT OPINION: Fezolinetant has shown efficacy in reducing the frequency and severity of VMS with a positive impact on sleep- and health-related QoL and acceptable safety and tolerability profile. Given the limited availability of effective non-hormonal options for VMS, fezolinetant could potentially represent a game-changer for care of menopausal women, especially when relative or absolute contraindications to MHT use are present. Further studies to gain more information about the safety profile and potential extra-VMS benefits or disadvantages are warranted in real-life clinical practice.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".