Acupuncture for migraine: A systematic review and meta-regression of randomized controlled trials
Abstract
OBJECTIVES: This meta-analysis aimed to explore the relationship between the dose of acupuncture sessions, acupuncture frequency, and acupuncture duration and its effects on migraine.
METHODS: Eight databases were searched for randomized controlled trials (RCTs) evaluating the efficacy of penetrating manual acupuncture for migraine published in English and Chinese from inception to June 20, 2024. The robust-error meta-regression (REMR) approach and non-linear meta-regression with restricted cubic spline (RCS) were used to investigate the dose-response association between acupuncture sessions, acupuncture frequency, and acupuncture duration and the frequency of migraine attacks. The potential nonlinear relationships was tested by restricting the regression coefficient to zero and a P value＜0.1. The statistical analysis was conducted using Stata 17.0. The risk of bias was independently assessed by two reviewers using the Cochrane tool. The reporting quality for acupuncture procedures was evaluated by STRICTA criteria.
RESULTS: Thirty-two RCTs involving 1562 participants were included, and the results showed a J-shaped dose-response association between acupuncture sessions, acupuncture frequency, and acupuncture duration and migraine attack frequency. After 16 acupuncture sessions, the change in the frequency of migraine attacks was 3.95 (95 %CI: 3.13 to 4.77). Three sessions of acupuncture a week resulted in a significant decrease in the frequency of migraine attacks, reaching…
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. Reported size: 1,562 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.