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Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000–2019)
OBJECTIVE: This study aimed to demonstrate the state of the present situation and trends concerning the global use of acupuncture for cancer pain in the past 20 years. METHODS: Searched the Web of Science database from 2000 to 2019 related to acupuncture for cancer pain, and then used CiteSpace to c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872910/ https://www.ncbi.nlm.nih.gov/pubmed/33574698 http://dx.doi.org/10.2147/JPR.S292657 |
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author | Huang, Li Zhao, Yanqing Xiang, Minhong |
author_facet | Huang, Li Zhao, Yanqing Xiang, Minhong |
author_sort | Huang, Li |
collection | PubMed |
description | OBJECTIVE: This study aimed to demonstrate the state of the present situation and trends concerning the global use of acupuncture for cancer pain in the past 20 years. METHODS: Searched the Web of Science database from 2000 to 2019 related to acupuncture for cancer pain, and then used CiteSpace to conduct scientometric analysis to acquire the knowledge mapping. RESULTS: Yearly output has increased year by year, and the growth rate has become faster after 2012. According to the cluster analysis of institutions, authors, cited references, and keywords, 4, 4, 15, and 14 categories were obtained, respectively. The most productive countries, institutions, and authors are the USA, Mem Sloan Kettering Cancer Center, and Mao JJ, whose frequencies are 196, 24, and 17, respectively. However, the most important of them are Australia, Univ. Maryland, and Bao T, owing to their highest centrality, they are 0.90, 0.21, and 0.09 separately. Moreover, cited references that contributed to the most co-citations are Crew KD (2010), however, the most key cited reference is Roscoe JA (2003). Keywords such as acupuncture, pain, breast cancer, palliative care, and quality of life are the most frequently used. But auricular acupuncture is the crucial keyword. In the cluster analysis of institutions, authors, cited references, and keywords, the more convincing research categories are multiple myeloma, placebo effect, neck malignancies, and early breast cancer, with S values of 0.990, 0.991, 0.990, and 0.923, respectively. Therefore, they can be regarded as research hotspots in this field. CONCLUSION: Based on the scientometric analysis in the past 20 years, the knowledge mapping of the country, institution, author, cited reference, and the keyword is gained, which has an important guiding significance for quickly and accurately positioning the trend in this field. |
format | Online Article Text |
id | pubmed-7872910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-78729102021-02-10 Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000–2019) Huang, Li Zhao, Yanqing Xiang, Minhong J Pain Res Original Research OBJECTIVE: This study aimed to demonstrate the state of the present situation and trends concerning the global use of acupuncture for cancer pain in the past 20 years. METHODS: Searched the Web of Science database from 2000 to 2019 related to acupuncture for cancer pain, and then used CiteSpace to conduct scientometric analysis to acquire the knowledge mapping. RESULTS: Yearly output has increased year by year, and the growth rate has become faster after 2012. According to the cluster analysis of institutions, authors, cited references, and keywords, 4, 4, 15, and 14 categories were obtained, respectively. The most productive countries, institutions, and authors are the USA, Mem Sloan Kettering Cancer Center, and Mao JJ, whose frequencies are 196, 24, and 17, respectively. However, the most important of them are Australia, Univ. Maryland, and Bao T, owing to their highest centrality, they are 0.90, 0.21, and 0.09 separately. Moreover, cited references that contributed to the most co-citations are Crew KD (2010), however, the most key cited reference is Roscoe JA (2003). Keywords such as acupuncture, pain, breast cancer, palliative care, and quality of life are the most frequently used. But auricular acupuncture is the crucial keyword. In the cluster analysis of institutions, authors, cited references, and keywords, the more convincing research categories are multiple myeloma, placebo effect, neck malignancies, and early breast cancer, with S values of 0.990, 0.991, 0.990, and 0.923, respectively. Therefore, they can be regarded as research hotspots in this field. CONCLUSION: Based on the scientometric analysis in the past 20 years, the knowledge mapping of the country, institution, author, cited reference, and the keyword is gained, which has an important guiding significance for quickly and accurately positioning the trend in this field. Dove 2021-02-05 /pmc/articles/PMC7872910/ /pubmed/33574698 http://dx.doi.org/10.2147/JPR.S292657 Text en © 2021 Huang et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Huang, Li Zhao, Yanqing Xiang, Minhong Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000–2019) |
title | Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000–2019) |
title_full | Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000–2019) |
title_fullStr | Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000–2019) |
title_full_unstemmed | Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000–2019) |
title_short | Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000–2019) |
title_sort | knowledge mapping of acupuncture for cancer pain: a scientometric analysis (2000–2019) |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872910/ https://www.ncbi.nlm.nih.gov/pubmed/33574698 http://dx.doi.org/10.2147/JPR.S292657 |
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