Trial reportClinical and translational science2025
The Effects of Elinzanetant on Simulated Driving Performance in Healthy Women: A Randomized Phase I Study.
Trial report in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06219902 (A Randomized, Double-blind, Placebo- and Active-controlled, 4-period, Crossover Study to Investigate Effects of Elinzanetant on Simulated Driving Performance and Cognitive Function in Healthy Women), which is not on this map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Randomized, Double-blind, Placebo- and Active-controlled, 4-period, Crossover Study to Investigate Effects of Elinzanetant on Simulated Driving Performance and Cognitive Function in Healthy Women
Who cites it
3 citing papers in PubMed.
- The Effects of Elinzanetant on Simulated Driving Performance in Healthy Women: A Randomized Phase I Study.Clinical and translational science · 2025Trial
- Review
- Evaluating and Determining the Effects of Psychotropic Drugs on Motor Vehicle Driving Performance: Key Considerations of the Japanese Guideline and Criteria for Clinical Implementation of Evidence.Neuropsychopharmacology reports · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Elinzanetant is a dual neurokinin-1 and -3 receptor antagonist in development for treating vasomotor symptoms associated with menopause. Its central nervous system action and bedtime dosing could produce next-morning residual effects that impact safety when driving. We therefore conducted a randomized, double-blind, placebo- and active-controlled, four-period, crossover study to assess the effect of elinzanetant on next-morning simulated driving performance. Sixty-four healthy women aged 40-65 years with regular sleep patterns were randomized to receive elinzanetant 120 mg, elinzanetant 240 mg, zopiclone 7.5 mg, or placebo for 5 days in one of four sequences. The primary endpoint assessed participant's ability to maintain a consistent position within the lane, measured using standard deviation of lateral position (SDLP). Secondary assessments included lane exceedance, cornering speeds, and treatment-emergent adverse events (TEAEs), among others. The least squares mean SDLP for both doses of elinzanetant on Day 2 and Day 6 were significantly below the non-inferiority margin of 4.4 cm (p < 0.0001). Small increases in SDLP with both doses versus placebo were observed on Day 2 but not on Day 6. Secondary assessments were not significantly different to placebo, apart from lane exceedances and cornering speed threshold exceedances. TEAEs were reported in 84% of participants; most were mild, and there was no increase in TEAE frequency with the 240 mg dose. Our study demonstrated no clinically relevant next-morning residual effects following bedtime elinzanetant dosing and confirmed the elinzanetant benefit: risk balance was not adversely impacted by somnolence or fatigue the following morning. Trial Registration: ClinicalTrials.gov identifier: NCT06219902.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.