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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