MétaCan
Menu
Back to cohort

Elinzanetant for the Treatment of Vasomotor Symptoms Associated With Menopause

2025· article· en· W4414059128 on OpenAlexaff
Nick Panay, Hadine Joffe, Pauline M. Maki, Rossella E. Nappi, JoAnn V. Pinkerton, James A. Simon, Cláudio N. Soares, Rebecca C. Thurston, Maja Francuski, Cecilia Caetano, Kelly R. Genga, Claudia Haberland, Nazanin Haseli Mashhadi, Kaisa Laapas, Susanne Parke, Christian Seitz, Lineke Zuurman

Bibliographic record

VenueJAMA Internal Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsVasomotorMenopauseMEDLINEPostmenopausal womenEstrogen replacement therapy

Abstract

fetched live from OpenAlex

Importance: There is an unmet need for long-term, safe, effective, and hormone-free treatments for menopausal symptoms, including vasomotor symptoms (VMS) and sleep disturbances. Objective: To evaluate the 52-week efficacy and safety of elinzanetant, a dual neurokinin-targeted therapy, for treating moderate to severe VMS associated with menopause. Design, Setting, and Participants: OASIS-3 was a double-blind, placebo-controlled, randomized phase 3 clinical trial that was conducted at 83 sites in North America and Europe from August 27, 2021, to February 12, 2024, and included postmenopausal women aged 40 to 65 years who were seeking treatment for moderate to severe VMS (no requirement for a minimum number of VMS events per week). The data were analyzed on March 11, 2024. Intervention: Once-daily oral elinzanetant, 120 mg, or matching placebo for 52 weeks. Main Outcomes and Measures: The primary outcome was mean change from baseline to week 12 in the frequency of daily moderate to severe VMS, which was analyzed using a mixed model with repeated measures. Secondary end points included changes over 52 weeks in measures evaluating sleep disturbance and the effect on menopause-related quality of life. Exploratory end points included mean changes over 50 weeks in frequency and severity of daily moderate to severe VMS. Exploratory and secondary end points were analyzed using descriptive statistics. Safety was also assessed. Results: Overall, 313 women (mean [SD] age, 54.6 [4.7] years; 51 [16.3%] were Black or African American, and 240 [76.7%] were White individuals; 34 [10.9%] were Hispanic or Latina) were randomized to receive elinzanetant and 315 (mean [SD] age, 54.9 [5.0] years; 44 [14.0%] Black or African American, 34 [10.8%] Hispanic or Latina, and 253 [80.3%] White individuals) to receive placebo. At week 12, the mean change from baseline in daily moderate to severe VMS frequency was -5.4 (95% CI, -6.3 to -4.5) for elinzanetant and -3.5 (95% CI, -4.1 to -2.9) for placebo; the least-squares mean difference for elinzanetant vs placebo was -1.6 (95% CI, -2.0 to -1.1; P < .001). Although no statistical hypotheses were defined, nor was the study powered to detect between-group differences for the secondary and exploratory end points, descriptive analyses showed numerical advantages for elinzanetant vs placebo for improving VMS frequency and severity over 50 weeks and sleep disturbances and menopause-related quality of life over 52 weeks. Regarding safety, elinzanetant was not associated with hepatotoxic effects, endometrial hyperplasia, or meaningful changes in bone density or bone turnover markers. Treatment-related adverse events were more common with elinzanetant than placebo (30.4% vs 14.6%); the most frequent were somnolence, fatigue, and headache. Conclusions and Relevance: The OASIS-3 randomized clinical trial expanded on findings from the 26-week OASIS-1 and OASIS-2 trials, exploring the use of elinzanetant over a longer duration and in a broader population. Elinzanetant shows promise as a treatment for moderate to severe VMS. Trial Registration: ClinicalTrials.gov Identifier: NCT05030584.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.027
GPT teacher head0.339
Teacher spread0.312 · 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

Citations26
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJAMA Internal MedicineSame topicMenopause: Health Impacts and TreatmentsFrench-language works237,207