Prevalence of migraine and its clinical presentation in Egypt: a systematic review and meta-analysis
Abstract
Migraine is a highly prevalent neurological disorder globally, causing significant disability and impacting quality of life. While its burden has been extensively studied worldwide, data on its prevalence, associated factors, and characteristics in Egypt remain limited. This systematic review and meta-analysis aims to synthesize available evidence to better understand the epidemiology and predictors of migraine in Egypt. A systematic search was conducted in databases including PubMed, Scopus, Web of Science, and regional platforms like the Egyptian Knowledge Bank. Studies were included if they were cross-sectional, conducted in Egypt, and reported the prevalence of migraine using validated methodological differences. Data extraction and quality assessment were performed independently by two reviewers, following PRISMA 2020 guidelines. Meta-analysis was conducted using a random-effects model to pool prevalence estimates, and heterogeneity was assessed using the I2 statistic. Out of 156 records identified, six studies met the inclusion criteria, representing diverse populations across various Egyptian governorates. The pooled prevalence of migraine in Egypt was 17.3% (95% CI 12.8–21.9%), with higher rates observed in females (27.1%) compared to males (8.6%). Common triggers included psychological stress, irregular sleep, fasting, and hormonal changes. Associated symptoms such as photophobia (85.8%), phonophobia (85.8%), and nausea (58.9%) were frequently reported. Quality…
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.
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.