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Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining

BACKGROUND: Cancer pain, a common complication of this disease, has been widely treated by electroacupuncture in recent years. However, there are numerous treatment parameters that are not conducive to clinical translation applications. This study aims to summarize the stimulation parameters commonl...

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Autores principales: Li, Quan-yao, Yang, Wen-xiao, Liu, Hui, Jiao, Li-Jing, Gong, Ya-bin, Shi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411286/
https://www.ncbi.nlm.nih.gov/pubmed/37551854
http://dx.doi.org/10.1177/15347354231192017
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author Li, Quan-yao
Yang, Wen-xiao
Liu, Hui
Jiao, Li-Jing
Gong, Ya-bin
Shi, Jun
author_facet Li, Quan-yao
Yang, Wen-xiao
Liu, Hui
Jiao, Li-Jing
Gong, Ya-bin
Shi, Jun
author_sort Li, Quan-yao
collection PubMed
description BACKGROUND: Cancer pain, a common complication of this disease, has been widely treated by electroacupuncture in recent years. However, there are numerous treatment parameters that are not conducive to clinical translation applications. This study aims to summarize the stimulation parameters commonly used in electroacupuncture treating cancer pain by data mining and visualization techniques to provide a basis for the future acupuncture technology transformation and selection of optimal stimulation parameters. METHODS: Nine databases, including Pubmed, Cochrane Library, Embase, Web of Science, OVID, China National Knowledge Infrastructure Database, China Biology Medicine disk, China Science and Technology Journal Database, and Wanfang Database, were searched for clinical studies on electroacupuncture treatment cancer pain published between January 2012 and September 2022. A database was established using Microsoft Excel 2020 and analyzed with SPSS Modeler 18.1 software and SPSS statistics 26.0 software. RESULTS: Twenty-four articles were included according to the established criteria. The most used electroacupuncture stimulation parameters were a dilatational wave, the current frequency of 2/100 Hz, stimulation duration of 30 minutes per treatment, and frequency of treatment once a day. Fifty-eight acupoints were mentioned, and the total frequency of acupoints involved was 156 times. The most used ones include Zusanli (ST36), Sanyinjiao (SP06), Hegu (LI04), Neiguan (PC06), Quchi (LI11), Taichong (LR03), Ashi point, Jiaji point, and those most generally used acupoints that are closely arranged on the Stomach Channel of Foot Yangming and the Spleen Channel of Foot Taiyin. The association analysis of acupoints revealed that the most supported acupoint pair was Sanyinjiao (SP06) and Zusanli (ST36). Cluster analysis demonstrated 3 groups, 1 for obligatory acupoints, 1 for Ashi point, and the third for Jiaji point. CONCLUSIONS: A dilatational wave, the current frequency of 2/100 Hz, 30-minute stimulation, and acupoints of the Stomach Channel of Foot Yangming and the Spleen Channel of Foot Taiyin selection are frequently used in electroacupuncture for treating cancer pain. Due to the limitations of this study, further research and more standardized, multi-center, large-sample clinical trials can be carried out to guide optimizing acupuncture treatment schemes and promote the formation of TCM-characteristic technologies for cancer pain.
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spelling pubmed-104112862023-08-10 Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining Li, Quan-yao Yang, Wen-xiao Liu, Hui Jiao, Li-Jing Gong, Ya-bin Shi, Jun Integr Cancer Ther Review Article BACKGROUND: Cancer pain, a common complication of this disease, has been widely treated by electroacupuncture in recent years. However, there are numerous treatment parameters that are not conducive to clinical translation applications. This study aims to summarize the stimulation parameters commonly used in electroacupuncture treating cancer pain by data mining and visualization techniques to provide a basis for the future acupuncture technology transformation and selection of optimal stimulation parameters. METHODS: Nine databases, including Pubmed, Cochrane Library, Embase, Web of Science, OVID, China National Knowledge Infrastructure Database, China Biology Medicine disk, China Science and Technology Journal Database, and Wanfang Database, were searched for clinical studies on electroacupuncture treatment cancer pain published between January 2012 and September 2022. A database was established using Microsoft Excel 2020 and analyzed with SPSS Modeler 18.1 software and SPSS statistics 26.0 software. RESULTS: Twenty-four articles were included according to the established criteria. The most used electroacupuncture stimulation parameters were a dilatational wave, the current frequency of 2/100 Hz, stimulation duration of 30 minutes per treatment, and frequency of treatment once a day. Fifty-eight acupoints were mentioned, and the total frequency of acupoints involved was 156 times. The most used ones include Zusanli (ST36), Sanyinjiao (SP06), Hegu (LI04), Neiguan (PC06), Quchi (LI11), Taichong (LR03), Ashi point, Jiaji point, and those most generally used acupoints that are closely arranged on the Stomach Channel of Foot Yangming and the Spleen Channel of Foot Taiyin. The association analysis of acupoints revealed that the most supported acupoint pair was Sanyinjiao (SP06) and Zusanli (ST36). Cluster analysis demonstrated 3 groups, 1 for obligatory acupoints, 1 for Ashi point, and the third for Jiaji point. CONCLUSIONS: A dilatational wave, the current frequency of 2/100 Hz, 30-minute stimulation, and acupoints of the Stomach Channel of Foot Yangming and the Spleen Channel of Foot Taiyin selection are frequently used in electroacupuncture for treating cancer pain. Due to the limitations of this study, further research and more standardized, multi-center, large-sample clinical trials can be carried out to guide optimizing acupuncture treatment schemes and promote the formation of TCM-characteristic technologies for cancer pain. SAGE Publications 2023-08-08 /pmc/articles/PMC10411286/ /pubmed/37551854 http://dx.doi.org/10.1177/15347354231192017 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review Article
Li, Quan-yao
Yang, Wen-xiao
Liu, Hui
Jiao, Li-Jing
Gong, Ya-bin
Shi, Jun
Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining
title Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining
title_full Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining
title_fullStr Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining
title_full_unstemmed Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining
title_short Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining
title_sort research on electroacupuncture parameters for cancer pain based on data mining
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411286/
https://www.ncbi.nlm.nih.gov/pubmed/37551854
http://dx.doi.org/10.1177/15347354231192017
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