Evidence-Based Recommendations on Pharmacologic Treatment for Migraine Prevention: A Clinical Practice Guideline from the Korean Headache Society

Purpose: The aim of this clinical practice guideline (CPG) from the Korean Headache Society is to provide evidence-based recommendations on the pharmacologic treatment for migraine prevention in adult migraine patients.Methods: The present CPG was developed based on the guideline adaptation methodology through a comprehensive systematic search for literature published between January 2012 and July 2020. The overall quality of the CPGs was assessed using the Korean version of the Appraisal of Guidelines for Research and Evaluation II tool. High-quality CPGs were adapted to make key recommendations in terms of strength (strong or weak) and direction (for or against).Results: The authors selected nine available high-quality guidelines throughout the process of assessment of quality. Regarding oral migraine preventive medications, propranolol, metoprolol, flunarizine, sodium divalproex, and valproic acid are recommended to adult patients with episodic migraines based on high-quality evidence (“strong for”). Topiramate can be recommended for either episodic or chronic migraine (“strong for”). For migraine prevention using calcitonin gene-related peptide monoclonal antibodies, galcanezumab, fremanezumab, erenumab, and eptinezumab are recommended for adult patients with either episodic or chronic migraine on the basis of high-quality evidence (“strong for”). OnabotulinumtoxinA is recommended for adult patients with chronic migraine based on high-quality evidence (“strong for”). Last, frovatriptan, naratriptan, and zolmitriptan are recommended for short-term prevention in women with menstrual migraine (“strong for”).Conclusion: In the present CPG, the authors provide specific, straightforward, and easy-to-implement evidence-based recommendations for pharmacologic migraine prevention. Nevertheless, these recommendations should be applied in real-world clinical practice based on optimal individualization.