Calcitonin Gene-Related Peptide (CGRP) Levels of Children and Adolescents With Migraine: A Systematic Review and Meta-Analysis of Observational Studies
Abstract
Background and objective: Although calcitonin gene-related peptide (CGRP) has emerged as a promising therapeutic target in migraine management, current clinical evidence regarding its dynamic variations in paediatric migraine populations remains inconclusive. We conducted a meta-analysis to explore the relationship between blood CGRP levels and paediatric migraine.
Databases and data treatment: We systematically searched for observational studies that reported CGRP levels in paediatric migraine published in English from the PubMed, Web of Science, and Embase electronic databases, or in Chinese from the Chinese National Knowledge Infrastructure and the WanFang Med database. The Newcastle-Ottawa Quality Assessment Scale was used to assess the quality of the included studies. The quality of evidence for each outcome was assessed according to the Grading of Recommendations, Assessment, Development, and Evaluation guidelines.
Results: Of the 1134 identified studies, eight were eligible for inclusion. There was a 'Moderate' level of evidence demonstrating significantly elevated CGRP levels in children with migraine compared to controls (standardised mean difference [SMD] = 1.44, 95% CI 0.61-2.31). Stratification analysis showed the 'Low' level of evidence revealed higher levels during both ictal (SMD = 2.39, 95% CI 0.59-4.19) and interictal phases (SMD = 1.27, 95% CI 0.54-1.99). 'Very low' quality of evidence supported paediatric migraine patients with (SMD = 1.47, 95% CI…
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.