Comparison of New Pharmacologic Agents With Triptans for Treatment of Migraine: A Systematic Review and Meta-analysis
Abstract
IMPORTANCE: New therapeutic classes of migraine-specific treatment have been developed, including 5-hydroxytryptamine1F receptor agonists (lasmiditan) and calcitonin gene-related peptide antagonists (rimegepant and ubrogepant).
OBJECTIVE: To compare outcomes associated with the use of lasmiditan, rimegepant, and ubrogepant vs triptans for acute management of migraine headaches.
DATA SOURCES: The Cochrane Register of Controlled Trials, Embase, and PubMed were searched from inception to March 5, 2020.
STUDY SELECTION: Double-blind randomized clinical trials examining current available migraine-specific acute treatments were included.
DATA EXTRACTION AND SYNTHESIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was applied to extract the data according to a predetermined list of variables of interest, and all network meta-analyses were conducted using a random-effects model.
MAIN OUTCOMES AND MEASURES: The primary outcome was the odds ratio (OR) for freedom from pain (hereafter referred to as pain freedom) at 2 hours after the dose, and the secondary outcomes were ORs for pain relief at 2 hours after the dose and any adverse events.
RESULTS: A total of 64 randomized clinical trials were included (46 442 participants; 74%-87% women; age range, 36-43 years). Most of the included treatments were associated with reduced pain at 2 hours compared with placebo. Most triptans were associated with higher ORs for pain freedom at 2 hours compared…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 46 participants or records.
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.