Weight loss with atogepant during the preventive treatment of migraine: A pooled analysis
Abstract
BACKGROUND: Migraine is associated with obesity. These analyses evaluated weight change with atogepant used as a preventive migraine treatment.
METHODS: Five atogepant clinical trials in adults with migraine (one phase 2b/3; four phase 3) were included: Three 12-week, randomized, placebo-controlled trials (episodic migraine: two; chronic migraine: one); one 40-week, open-label extension trial and one 52-week, standard care, randomized, long-term safety trial in episodic migraine. Change from baseline in body weight was measured.
RESULTS: Mean baseline body mass indexes were 30.0-30.7 kg/m2 (pooled episodic migraine [United States only]) and 25.0-25.5 kg/m2 (chronic migraine [East Asia, Europe, and North America]). More participants treated with atogepant 60 mg once-daily compared to placebo experienced ≥7% weight loss at any time in the pooled episodic migraine placebo-controlled trials (4.9% vs. 2.8%), chronic migraine placebo-controlled trial (5.8% vs. 2.0%), and pooled open-label extension and long-term safety trials (24.0% vs.14.7% in standard care [long-term safety only]). In the placebo-controlled trials, weight loss with atogepant 60 mg once-daily was observed at week 2 (pooled episodic migraine: -0.32%; chronic migraine: -0.39%), increasing at week 12 (pooled episodic migraine: -1.02%; chronic migraine: -1.50%); compared to weight gain with placebo at week 12 (pooled episodic migraine: +0.49%; chronic migraine: +0.10%). In the long-term episodic migraine studies,…
How strong is the evidence?
Evidence Hub reads this as a secondary / pooled analysis, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.