Annual indirect cost savings in patients with episodic or chronic migraine: post-hoc analyses from multiple galcanezumab clinical trials
Abstract
AIM: This post-hoc analysis estimated annual indirect cost savings with galcanezumab (GMB) treatment in patients with episodic migraine (EM) or chronic migraine (CM).
METHODS: Data from 4 randomized, Phase 3, double-blind (DB), placebo (PBO)-controlled studies of GMB were analyzed: EVOLVE-1 and EVOLVE-2 (EM, 6-months DB), REGAIN (CM, 3-months DB), and CONQUER (previous failure of 2-4 migraine preventive medication categories, 3-months DB). Indirect costs were calculated at baseline and Month 3 using the first 2 items in Migraine Disability Assessment (MIDAS): (A + B)/60*country specific annual wage (A = days of missed work/school; B = days of reduced productivity at work/school; assuming 60 working days in 3 months). All costs were annualized and expressed in international dollars (Int$) in 2018. ANCOVA models estimated the indirect cost savings as a change from baseline. Secondary analyses determined cost savings by employment and responder status.
RESULTS: Patients (>80% females) from EVOLVE-1 and -2 (n = 1,201; mean age 41.9 years), REGAIN (n = 759; mean age 41.3 years), and CONQUER (n = 453; mean age ∼46.0 years) were analyzed. GMB showed significant indirect cost savings for EM (Int$6256, p < .0001) and CM (Int$7129, p = .0002), with substantial savings for patients with previous failure of 2-4 migraine preventive medication categories (EM: Int$5664, p = .0030; CM: Int$5181, p = .1300). Compared with PBO, GMB showed significantly greater indirect cost savings for EM (p…
How strong is the evidence?
Evidence Hub reads this as a secondary / pooled analysis, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 1,201 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.