Underdiagnosis and impact of menstrual migraine in real-world clinical practice: A real-world survey
Abstract
OBJECTIVE: This cross-sectional study aimed to evaluate the frequency of menstrual migraine (MM) reporting in clinical practice and to compare the clinical burden, treatment patterns, and patient satisfaction between those with and without MM.
BACKGROUND: People with MM experience more severe, disabling, and prolonged attacks than people with non-MM. Research indicates that approximately two thirds of females with migraine may experience MM; however, the prevalence of MM is often underreported and there is a lack of awareness regarding the condition.
METHODS: This study analyzed secondary data from the Adelphi Real World Migraine Disease Specific Programme™, a cross-sectional survey with retrospective data collection conducted across France, Germany, Italy, Spain, the United Kingdom, and the United States from May 2022 to February 2024. Physicians completed an attitudinal survey, and provided data for consecutively consulting patients with migraine, containing questions on demographics, clinical characteristics, treatment history (including reasons for treatment choice, treatment satisfaction, and adherence), and symptomatic burden. Patients voluntarily completed a questionnaire on their current symptom burden, migraine pain severity, treatment satisfaction, and other patient-reported outcomes. Outcomes between patients with and without a physician-confirmed diagnosis of MM were compared using statistical and comparative tests. Patients were eligible for inclusion if they…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 3,215 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.