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Time-series clustering analysis for treatment pattern of lasmiditan for 2 years from the initial prescription

Katsuki, Masahito, Yamada, Yuya, Ichihara, Taisuke and Matsumori, Yasuhiko (2025) Time-series clustering analysis for treatment pattern of lasmiditan for 2 years from the initial prescription. Therapeutic Advances in Neurological Disorders, 18 . ISSN 1756-2864

Abstract
Migraine is a highly prevalent neurological disorder and a leading cause of disability worldwide. Although triptans and non-steroidal anti-inflammatory drugs are widely used, a substantial proportion of patients show inadequate responses. Lasmiditan, a selective 5-HT1F receptor agonist introduced in Japan in January 2022, represents a novel acute treatment option that lacks vasoconstrictive activity and can be prescribed even in patients with cardiovascular risk. However, little is known about the trend of its long-term real-world use.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Lasmiditan, medication-overuse headache, migraine, national health claim data, time-series clustering
Subjects:Medical Sciences > Health
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health
DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Publisher:Sage Publications Ltd.
Official URL:https://journals.sagepub.com/doi/10.1177/175628642...
Copyright Information:Authors
ID Code:32329
Deposited On:06 Mar 2026 15:22 by Gordon Kennedy . Last Modified 06 Mar 2026 15:22
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