An overview of systematic reviews of acupuncture for Parkinson’s disease

Autor: Hua Xue, Hong-xian He, Dan Wu, Wen-hui Fan, Ya-xin Li
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Neuroscience, Vol 18 (2024)
Druh dokumentu: article
ISSN: 1662-453X
DOI: 10.3389/fnins.2024.1415008
Popis: BackgroundMany systematic reviews (SRs) have reported the efficacy of acupuncture in improving Parkinson’s disease (PD), but the quality of evidence is unknown. Therefore, it is necessary to comprehensively summarize and objectively evaluate the evidence of acupuncture for PD.MethodsSeven databases were searched to retrieve SRs on the acupuncture for PD. Two reviewers independently completed literature retrieval, screening, and data extraction. The methodological quality, risk of bias (RoB), evidence quality of the included SRs were assessed by the Assessing the Methodological Quality of Systematic Reviews 2 (AMSTAR 2), the Risk of Bias in Systematic Reviews (ROBIS), the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool.ResultsA total of 24 SRs were included. According to AMSTAR 2, 6 (25%) were rated as high quality, 6 (25%) were rated as moderate quality, and 12 (50%) were rated as very low quality. The application of the ROBIS tool showed that 12 (25%) SRs were at low risk of bias. The results of GRADE showed that 8 (7.62%) outcomes provided high quality evidence, 23 (21.9%) outcomes provided moderate quality evidence, 42 (40%) outcomes provided low quality evidence, and 32 (30.48%) outcomes provided very low quality evidence.ConclusionThe overview indicates that acupuncture shows promise as a treatment for PD, although the evidence is limited and inconclusive due to methodological flaws and the heterogeneity of existing studies. Future research should focus on fully reporting methodological details and following review guidelines to produce more reliable and consistent evidence on the effectiveness of acupuncture for PD.Systematic review registrationhttps://inplasy.com, identifier INPLASY202480049.
Databáze: Directory of Open Access Journals