Journal of Acupuncture Research (Aug 2023)

The Effectiveness and Safety of Acupuncture on Occipital Neuralgia: A Study Protocol for Systematic Review and/or Meta-Analysis

  • Jeong-Hyun Moon,
  • Gyoungeun Park,
  • Jung Eun Jang,
  • Hyo-Rim Jo,
  • Seo-Hyun Park,
  • Won-Suk Sung,
  • Yongjoo Kim,
  • Yoon-Jae Lee,
  • Seung Deok Lee,
  • Eun-Jung Kim

DOI
https://doi.org/10.13045/jar.2023.00150
Journal volume & issue
Vol. 40, no. 3
pp. 238 – 244

Abstract

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Background: Occipital neuralgia (ON) is an established risk factor for headaches in the posterior cervical region. Several conservative treatments by nerve decompression and pain relief are available for ON, but these treatments have limitations. Acupuncture treatment, which is known to demonstrate analgesic effects, involves various stimulation methods, and several studies have reported their clinical benefit. No recent systematic review (SR) has compared each acupuncture type for ON treatment. Thus, this SR aims to investigate the clinical effectiveness of each acupuncture type for treating ON. Methods: We will identify relevant studies using electronic databases, including EMBASE, MEDLINE, Cochrane Library, China National Knowledge Infrastructure (CNKI), Korean Studies Information Service System (KISS), Korean Medical Database, KoreaMed, and National Digital Science Library (NDSL) from the inception until August 2023. The primary outcome will include the numerical change of pain symptoms (visual analog scale and numerical rating scale) and effective rate. Safety and secondary outcomes will include adverse events and quality of life. We will compare the conservative treatment with the acupuncture treatment using network meta-analysis. The Cochrane Collaboration “risk of bias” tools will be used to assess the quality of included trials. The Grades of Recommendation, Assessment, Development, and Evaluation will be used to examine the evidence level. Conclusion: This study will provide clinical evidence of several acupuncture types for ON and help clinicians decide on the best.

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