Network meta-analysis of migraine therapies: balancing efficacy and safety
Abstract
INTRODUCTION
Migraine is a common and debilitating neurological condition, affecting roughly 10 % of the global population and placing a significant burden on public health. It occurs in episodes, often characterized by intense headaches accompanied by sensitivity to light (photophobia), sensitivity to sound (phonophobia), and a range of autonomic and sensory disturbances.
METHODS
A comprehensive search of three databases was conducted up to April 30, 2023. A frequentist network meta-analysis was utilized to estimate both direct and indirect effects across six outcomes. Interventions were ranked independently for each outcome using the p-score. The choice of meta-analysis model was based on the I2 statistic: a random-effects model was applied when I2 exceeded 30 %, while a fixed-effect model was used when I2 was ≤30 %. All statistical analyses were performed using R version 4.3.2.
RESULTS
A total of 80 articles were included in current investigation. For change in mean migraine days (MMD) as direct estimate, by taking placebo as reference treatment, suggested statistically significant result for CGRP (Calcitonin Gene-Related Peptide Receptor) antagonist [SMD: -0.38 (-0.61, -0.14)], and CGRP mAbs [SMD: -0.35 (-0.41, -0.31)]. The maximum p-score was obtained by CGRP antagonist (0.71). Similarly, direct estimates were calculated for other outcome of interest. Additionally, the indirect estimates were calculated taking all treatments under investigations as reference treatment,…
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