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Record W4404467021 · doi:10.1136/bmj-2024-079525

Efficacy and safety of fezolinetant for moderate-severe vasomotor symptoms associated with menopause in individuals unsuitable for hormone therapy: phase 3b randomised controlled trial

2024· article· en· W4404467021 on OpenAlexaff
Katrin Schaudig, Xuegong Wang, Céline Bouchard, Angelica Lindén Hirschberg, Antonio Rico Cano, Marla Shapiro C M, Petra Stute, Xi Wu, Kentaro Miyazaki, Ludmila Scrine, Rossella E. Nappi

Bibliographic record

VenueBMJ · 2024
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsUniversity of TorontoCanadian Women's Health Network
Fundersnot available
KeywordsVasomotorMedicinePlaceboMenopauseHormone therapyDiscontinuationRandomized controlled trialInternal medicinePhysical therapyBreast cancerCancer

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess the efficacy and safety of the non-hormonal, neurokinin 3 receptor antagonist, fezolinetant, to treat moderate-severe vasomotor symptoms associated with menopause in individuals unsuitable for hormone therapy. DESIGN: Phase 3b randomised controlled trial. SETTING: 16 countries. PARTICIPANTS: 453 individuals aged 40-65 years with moderate-severe vasomotor symptoms associated with menopause who were considered unsuitable candidates for hormone therapy (contraindicated, caution (based on medical history), stoppers (previous discontinuation of hormone therapy), or averse (informed choice not to use hormone therapy)) were randomised to receive fezolinetant (n=227) or placebo (n=226). INTERVENTION: Fezolinetant 45 mg or placebo once daily for 24 weeks. MAIN OUTCOME MEASURES: The primary endpoint was mean change in daily frequency of moderate-severe vasomotor symptoms from baseline to week 24. Secondary endpoints were mean change in symptom severity, sleep disturbance using the Patient-Reported Outcome Measurement Information System Sleep Disturbance Short Form (PROMIS SD-SF) 8b total score, and safety. RESULTS: 370 (81.7%) participants completed the study (fezolinetant=195, placebo group=175). The safety and full analysis sets comprised 452 participants who received at least one dose of study drug. Mean age was 54.5 (standard deviation 4.7) years and most of the participants (435 (96.7%) were white and categorised as either hormone therapy averse (168 (37.2%)) or caution (165 (36.5%)). At week 24, fezolinetant significantly reduced the frequency (least squares mean difference -1.93, 95% confidence interval (CI) -2.64 to -1.22; P<0.001) and severity of vasomotor symptoms (-0.39, -0.57 to -0.21; P<0.001). At week 24, the fezolinetant group had a greater reduction in sleep disturbance (PROMIS SD-SF 8b total score) compared with placebo (-2.5, -3.9 to -1.1; P<0.001). Improvements over placebo were observed as early as week 1. Both groups showed similar incidences of treatment emergent adverse events (TEAEs, 147 (65.0%) in the fezolinetant group, 138 (61.1%) in the placebo group) and serious TEAEs (10 (4.4%) and 8 (3.5%), respectively). The most common TEAEs in the fezolinetant group were covid-19 (30 (13.3%)), headache (20 (8.8%)), and fatigue (13 (5.8%)). CONCLUSIONS: Fezolinetant was efficacious and well tolerated over a six month period for treating moderate-severe vasomotor symptoms in individuals considered unsuitable for hormone therapy. These results highlight the utility of fezolinetant as an effective treatment option for those who have contraindications to or choose not to use hormone therapy. TRIAL REGISTRATION: ClinicalTrials.gov NCT05033886; EudraCT 2021-001685-38.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.039
GPT teacher head0.358
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations31
Published2024
Admission routes1
Has abstractyes

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