Efficacy of scalp acupuncture for migraine: A protocol for systematic review and meta-analysis

Medicine (Baltimore). 2022 Dec 16;101(50):e30926. doi: 10.1097/MD.0000000000030926.

Abstract

Introduction: Migraine is a disorder that is prevalent worldwide. However, there is still no clear and effective treatment for migraine. Recently, acupuncture as a treatment has been attracting attention and studies have shown the value of scalp acupuncture. Therefore, this protocol for a systematic review and meta-analysis was created to assess the evidence of effectiveness and safety of scalp acupuncture in the treatment of migraine.

Methods: All published randomized controlled trials (RCTs) in the following databases will be searched from their inception to September 2022: PubMed, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), OASIS, Korean Studies Information Service System (KISS), Korean Medical Database and NDSL, CiNii (Citation Information by NII), and the China National Knowledge Infrastructure (CNKI), without language restrictions. The data collection and analysis will be conducted independently by two reviewers. The Cochrane Collaboration tool will be used to evaluate the risk of bias by evaluating the available studies. A meta-analysis will be conducted using RevMan V.5.4 software.

Results: The purpose of the proposed systemic review is to systematically assess the effectiveness and safety of scalp acupuncture for the treatment of migraine.

Conclusions: To sum up, this review will assess the effectiveness and safety of scalp acupuncture for the treatment of migraine. The results of this review are expected to provide new guidelines for the treatment of migraine.

Ethics and dissemination: The review and meta-analysis will not require ethical approval because personal information from individuals will not be involved. The results will be published in a peer-reviewed journal.

MeSH terms

  • Acupuncture Therapy* / methods
  • Humans
  • Meta-Analysis as Topic
  • Migraine Disorders* / therapy
  • Research Design
  • Review Literature as Topic
  • Scalp
  • Systematic Reviews as Topic