Migraine is defined as a recurrent headache of moderate to severe intensity that seriously affects the quality of life. Recent clinical trials have confirmed that acupuncture is effective in treating migraine. We aimed to review the effectiveness of acupuncture in the treatment of migraine by comparing treatment and various control groups in accordance with the newly published guidelines for systematic reviews.
The following databases were searched for relevant articles published from January 1, 2010 to December 31, 2019: Embase, PubMed, Medline, Cochrane Library, and four Chinese databases. The present review included randomized controlled trials in which acupuncture was the sole treatment or an adjunctive treatment for migraine. Two researchers independently conducted the study selection, data extraction, and quality assessment processes. Disagreements between reviewers were solved by discussion and data reanalysis. The quality of each included study was evaluated using the Cochrane Collaboration risk-of-bias assessment method and the Standards for Reporting Interventions in Controlled Trials of Acupuncture (STRICTA) checklist.
Forty-nine studies were analyzed and ranked based on the latest STRICTA and Cochrane Collaboration risk-of-bias assessment standards. The analysis revealed that acupuncture reduced headache frequency compared with no treatment (mean difference [MD] = -1.80, P < 0.00001, 95% confidence interval [CI] -2.34 to -1.26) and western medicine (MD = -1.75, P = 0.003, 95% CI -2.91 to -0.58). Headache frequency did not significantly differ between patients who received real acupuncture versus those who received sham acupuncture (MD = -0.64, P = 0.24, 95% CI -1.70 to 0.42).
The present review evaluated the current research on the use of acupuncture for migraine, compared with various control treatments. The evidence for the effectiveness of acupuncture in controlling migraine is still limited due to the low quality of the published studies.
© 2020 Ni et al.
About The Expert
Xixiu Ni
Linglin Dong
Tian Tian
Lu Liu
Xiao Li
Fengmei Li
Ling Zhao
References
PubMed