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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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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. |
format | Online Article Text |
id | pubmed-10411286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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