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Research on electroacupuncture parameters for knee osteoarthritis based on data mining

BACKGROUND: Knee osteoarthritis, a common degenerative joint disease, has been widely treated by electroacupuncture in recent years. However, there are too many parameters of the treatment currently, resulting in various applications in clinical practice. This study aims to summarize the optimal sti...

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Autores principales: Cai, Fei-hong, Li, Fan-lian, Zhang, Yu-chen, Li, Pei-qi, Xiao, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429477/
https://www.ncbi.nlm.nih.gov/pubmed/36045455
http://dx.doi.org/10.1186/s40001-022-00795-9
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author Cai, Fei-hong
Li, Fan-lian
Zhang, Yu-chen
Li, Pei-qi
Xiao, Bin
author_facet Cai, Fei-hong
Li, Fan-lian
Zhang, Yu-chen
Li, Pei-qi
Xiao, Bin
author_sort Cai, Fei-hong
collection PubMed
description BACKGROUND: Knee osteoarthritis, a common degenerative joint disease, has been widely treated by electroacupuncture in recent years. However, there are too many parameters of the treatment currently, resulting in various applications in clinical practice. This study aims to summarize the optimal stimulation parameters of electroacupuncture for knee osteoarthritis in clinical studies by applying data mining techniques. METHODS: Four databases including Pubmed, Cochrane Library, Embase, and Web of Science were searched for clinical studies on electroacupuncture treating knee osteoarthritis from 2012 to 2021. A database was established by Microsoft Excel 2020 and analyzed by R Version 4.1.1. RESULTS: Forty-six articles were included according to the established criteria. The most used electroacupuncture stimulation parameters were 0.30 mm × 40 mm needle, continuous wave, low frequency of current (mainly 2 Hz), stimulation duration for 30 min per treatment, and frequency of treatment for once a day. Eighteen acupoints were mentioned and the most used ones include Dubi (ST35), Liangqiu (ST34), Neixiyan (EX-LE4), Xuehai (SP10), Yanglingquan (GB34), and Yinlingquan (SP9), and those most generally used acupoints are closely arranged on the Stomach Channel of Foot Yangming. Cluster analysis showed two groups, one for obligatory acupoints and one for adjunctive ones. The association analysis showed the most supported acupoint pair was Liangqiu (ST34) and Xuehai (SP10). CONCLUSIONS: Continuous wave, low frequency of current (2 Hz), 30-min stimulation, and local acupoint selection are frequently used for electroacupuncture treating knee osteoarthritis. Due to the limitations of this study, further research and more standardized, multi-centered, and large-sample clinical trials should be conducted to provide more convincing evidence.
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spelling pubmed-94294772022-09-01 Research on electroacupuncture parameters for knee osteoarthritis based on data mining Cai, Fei-hong Li, Fan-lian Zhang, Yu-chen Li, Pei-qi Xiao, Bin Eur J Med Res Research BACKGROUND: Knee osteoarthritis, a common degenerative joint disease, has been widely treated by electroacupuncture in recent years. However, there are too many parameters of the treatment currently, resulting in various applications in clinical practice. This study aims to summarize the optimal stimulation parameters of electroacupuncture for knee osteoarthritis in clinical studies by applying data mining techniques. METHODS: Four databases including Pubmed, Cochrane Library, Embase, and Web of Science were searched for clinical studies on electroacupuncture treating knee osteoarthritis from 2012 to 2021. A database was established by Microsoft Excel 2020 and analyzed by R Version 4.1.1. RESULTS: Forty-six articles were included according to the established criteria. The most used electroacupuncture stimulation parameters were 0.30 mm × 40 mm needle, continuous wave, low frequency of current (mainly 2 Hz), stimulation duration for 30 min per treatment, and frequency of treatment for once a day. Eighteen acupoints were mentioned and the most used ones include Dubi (ST35), Liangqiu (ST34), Neixiyan (EX-LE4), Xuehai (SP10), Yanglingquan (GB34), and Yinlingquan (SP9), and those most generally used acupoints are closely arranged on the Stomach Channel of Foot Yangming. Cluster analysis showed two groups, one for obligatory acupoints and one for adjunctive ones. The association analysis showed the most supported acupoint pair was Liangqiu (ST34) and Xuehai (SP10). CONCLUSIONS: Continuous wave, low frequency of current (2 Hz), 30-min stimulation, and local acupoint selection are frequently used for electroacupuncture treating knee osteoarthritis. Due to the limitations of this study, further research and more standardized, multi-centered, and large-sample clinical trials should be conducted to provide more convincing evidence. BioMed Central 2022-08-31 /pmc/articles/PMC9429477/ /pubmed/36045455 http://dx.doi.org/10.1186/s40001-022-00795-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cai, Fei-hong
Li, Fan-lian
Zhang, Yu-chen
Li, Pei-qi
Xiao, Bin
Research on electroacupuncture parameters for knee osteoarthritis based on data mining
title Research on electroacupuncture parameters for knee osteoarthritis based on data mining
title_full Research on electroacupuncture parameters for knee osteoarthritis based on data mining
title_fullStr Research on electroacupuncture parameters for knee osteoarthritis based on data mining
title_full_unstemmed Research on electroacupuncture parameters for knee osteoarthritis based on data mining
title_short Research on electroacupuncture parameters for knee osteoarthritis based on data mining
title_sort research on electroacupuncture parameters for knee osteoarthritis based on data mining
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429477/
https://www.ncbi.nlm.nih.gov/pubmed/36045455
http://dx.doi.org/10.1186/s40001-022-00795-9
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