MétaCan
Menu
Back to cohort
Record W4401753486 · doi:10.1001/jama.2024.14618

Elinzanetant for the Treatment of Vasomotor Symptoms Associated With Menopause

2024· article· en· W4401753486 on OpenAlexaffabout
JoAnn V. Pinkerton, James A. Simon, Hadine Joffe, Pauline M. Maki, Rossella E. Nappi, Nick Panay, Cláudio N. Soares, Rebecca C. Thurston, Cecilia Caetano, Claudia Haberland, Nazanin Haseli Mashhadi, Ulrike Krahn, Uwe Mellinger, Susanne Parke, Christian Seitz, Lineke Zuurman

Bibliographic record

VenueJAMA · 2024
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineVasomotorMenopausePlaceboRandomized controlled trialQuality of life (healthcare)Hot flashSleep disorderClinical trialInternal medicinePhysical therapyInsomniaBreast cancer

Abstract

fetched live from OpenAlex

Importance: Safe and effective nonhormonal treatments for menopausal vasomotor symptoms (VMS) are needed. Objective: To evaluate the efficacy and safety of elinzanetant, a selective neurokinin-1,3 receptor antagonist, for the treatment of moderate to severe menopausal vasomotor symptoms. Design, Setting, and Participants: Two randomized double-blind phase 3 trials (OASIS 1 and 2) included postmenopausal participants aged 40 to 65 years experiencing moderate to severe vasomotor symptoms (OASIS 1: 77 sites in the US, Europe, and Israel from August 27, 2021, to November 27, 2023, and OASIS 2: 77 sites in the US, Canada, and Europe from October 29, 2021, to October 10, 2023). Intervention: Once daily oral elinzanetant, 120 mg, for 26 weeks or matching placebo for 12 weeks followed by elinzanetant, 120 mg, for 14 weeks. Main Outcomes and Measures: Primary end points included mean change in frequency and severity of moderate to severe vasomotor symptoms from baseline to weeks 4 and 12, measured by the electronic hot flash daily diary. Secondary end points included Patient-Reported Outcomes Measurement Information System Sleep Disturbance Short Form 8b total T score and Menopause-Specific Quality of Life questionnaire total score from baseline to week 12. Results: Eligible participants (mean [SD] age, OASIS 1: 54.6 [4.9] years; OASIS 2: 54.6 [4.8] years) were randomized to elinzanetant (OASIS 1: n = 199; OASIS 2: n = 200) or placebo (OASIS 1: n = 197; OASIS 2: n = 200). A total of 309 (78.0%) and 324 (81.0%) completed OASIS 1 and 2, respectively. For the elinzanetant and placebo groups, the baseline mean (SD) VMS per 24 hours were 13.4 (6.6) vs 14.3 (13.9) (OASIS 1) and 14.7 (11.1) v 16.2 (11.2) (OASIS 2). Baseline VMS severity was 2.6 (0.2) vs 2.5 (0.2) (OASIS 1) and 2.5 (0.2) vs 2.5 (0.2) (OASIS 2). Elinzanetant significantly reduced VMS frequency at week 4 (OASIS 1: -3.3 [95% CI, -4.5 to -2.1], P < .001; OASIS 2: -3.0 [95% CI, -4.4 to -1.7], P < .001) and at week 12 (OASIS 1: -3.2 [95% CI, -4.8 to -1.6], P < .001; OASIS 2: -3.2 [95% CI, -4.6 to -1.9], P < .001). Elinzanetant also improved VMS severity at week 4 (OASIS 1: -0.3 [95% CI, -0.4 to -0.2], P < .001; OASIS 2: -0.2 [95 CI, -0.3 to -0.1], P < .001) and week 12 (OASIS 1: -0.4 [95% CI, -0.5 to -0.3], P < .001; OASIS 2: -0.3 [95% CI, -0.4 to -0.1], P < .001). Elinzanetant improved sleep disturbances and menopause-related quality of life at week 12, and the safety profile was favorable. Conclusions and Relevance: Elinzanetant was well tolerated and efficacious for moderate to severe menopausal VMS. Trial Registration: ClinicalTrials.gov Identifier: OASIS 1: NCT05042362, OASIS 2: NCT05099159.

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: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.323
Teacher spread0.291 · 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

Citations91
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJAMASame topicMenopause: Health Impacts and TreatmentsFrench-language works237,207