Antimigraine efficacy of telcagepant based on patient's historical triptan response
Abstract
OBJECTIVE: To evaluate whether the same or different patients respond to triptans and telcagepant.
BACKGROUND: Telcagepant is an oral calcitonin gene-related peptide receptor antagonist with acute antimigraine efficacy comparable to oral triptans. It is currently unknown whether migraine patients who cannot be adequately helped with triptans might benefit from treatment with telcagepant.
METHODS: Post-hoc analysis of data from a randomized, controlled trial of telcagepant (150 mg, 300 mg) zolmitriptan 5 mg, or placebo for a moderate/severe migraine. Responder rates were analyzed according to patients' self-reported historical triptan response (HTR): (1) good HTR (N = 660): response in 75-100% of attacks; (2) intermediate HTR (N = 248): response in 25-74% of attacks; (3) poor HTR/no use (N = 407): response in < 25% of attacks, or patient did not take triptans. A limitation of the analysis is that the last subgroup comprised mainly (91%) patients who reported that they did not take triptans, but it was not known whether these patients were triptan-naïve or had previously used triptans and stopped taking them.
RESULTS: For zolmitriptan, 2-hour pain relief rates were higher in the good HTR subgroup (116/162, 72%) than in the intermediate (29/62, 47%) and poor/no use (44/111, 40%) HTR subgroups. The 2-hour pain relief rates were similar across HTR subgroups for telcagepant 150 mg (48-58%), 300 mg (52-58%), and placebo (26-31%). In the poor/no use HTR subgroup, more patients…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 660 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.