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Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III
OBJECTIVE: To explore the evolvement and new trends in the use of Shuanghuanglian injection (SHLI). METHODS: China National Knowledge Infrastructure (CNKI), PubMed, and Embase were extensively searched using the search terms “Shuanghuanglian injection” and “Shuanghuanglian fenzhen” to retrieve artic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Beijing University of Chinese Medicine. Production and hosting by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272175/ http://dx.doi.org/10.1016/j.jtcms.2020.05.006 |
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author | Zhang, Qin Rong, Guang Meng, Qinggang Yu, Mang Xie, Qingyu Fang, Jian |
author_facet | Zhang, Qin Rong, Guang Meng, Qinggang Yu, Mang Xie, Qingyu Fang, Jian |
author_sort | Zhang, Qin |
collection | PubMed |
description | OBJECTIVE: To explore the evolvement and new trends in the use of Shuanghuanglian injection (SHLI). METHODS: China National Knowledge Infrastructure (CNKI), PubMed, and Embase were extensively searched using the search terms “Shuanghuanglian injection” and “Shuanghuanglian fenzhen” to retrieve articles relevant to SHLI (1992–2020). Retrieved articles were further investigated by two authors to exclude those unrelated to SHLI. The bibliographical references of the included articles were exported as raw data and then treated using the CiteSpace tool to visualize the mapping of the SHLI research domain. Essential clusters and highly frequent keywords were quantified for further analysis. The clusters were automatically labeled by the algorithm of tf∗idf for objective analysis. Basic bibliometric features, including article types and yearly trend in article numbers were also determined and discussed. RESULTS: The modules of the keywords of interest presented clear boundaries with a high modularity score (Q = 0.73). High-confidence clusters were identified, including bioactivity fingerprint (S = 0.99), equal pupils (S = 0.91), drug preparation department (S = 0.87), difficulty in respiration (S = 0.85), peristalsis (0.88), and Danshen powder injection (S = 0.94). The characteristic keywords in terms of frequency and burstiness were Shuanghuanglian powder for injection (F = 235, B = 5.22), SHLI (F = 112, B = 11.39), and adverse drug reactions (ADRs; F = 104, B = 7.35). CONCLUSION: In the field of SHLI study, there are five major topic categories: bioactivity fingerprint; ADR mechanism and cause detection; proper preparation; clinical evidence accumulation; and efficacy in diseases with no effective treatment and combination usage. The trend for using modern methodologies from a science-based perspective to study SHLI will continue to exist. The causes of multi-factorial ADRs may be an important topic for future studies. |
format | Online Article Text |
id | pubmed-7272175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Beijing University of Chinese Medicine. Production and hosting by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72721752020-06-05 Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III Zhang, Qin Rong, Guang Meng, Qinggang Yu, Mang Xie, Qingyu Fang, Jian Journal of Traditional Chinese Medical Sciences Article OBJECTIVE: To explore the evolvement and new trends in the use of Shuanghuanglian injection (SHLI). METHODS: China National Knowledge Infrastructure (CNKI), PubMed, and Embase were extensively searched using the search terms “Shuanghuanglian injection” and “Shuanghuanglian fenzhen” to retrieve articles relevant to SHLI (1992–2020). Retrieved articles were further investigated by two authors to exclude those unrelated to SHLI. The bibliographical references of the included articles were exported as raw data and then treated using the CiteSpace tool to visualize the mapping of the SHLI research domain. Essential clusters and highly frequent keywords were quantified for further analysis. The clusters were automatically labeled by the algorithm of tf∗idf for objective analysis. Basic bibliometric features, including article types and yearly trend in article numbers were also determined and discussed. RESULTS: The modules of the keywords of interest presented clear boundaries with a high modularity score (Q = 0.73). High-confidence clusters were identified, including bioactivity fingerprint (S = 0.99), equal pupils (S = 0.91), drug preparation department (S = 0.87), difficulty in respiration (S = 0.85), peristalsis (0.88), and Danshen powder injection (S = 0.94). The characteristic keywords in terms of frequency and burstiness were Shuanghuanglian powder for injection (F = 235, B = 5.22), SHLI (F = 112, B = 11.39), and adverse drug reactions (ADRs; F = 104, B = 7.35). CONCLUSION: In the field of SHLI study, there are five major topic categories: bioactivity fingerprint; ADR mechanism and cause detection; proper preparation; clinical evidence accumulation; and efficacy in diseases with no effective treatment and combination usage. The trend for using modern methodologies from a science-based perspective to study SHLI will continue to exist. The causes of multi-factorial ADRs may be an important topic for future studies. Beijing University of Chinese Medicine. Production and hosting by Elsevier B.V. 2020-04 2020-06-04 /pmc/articles/PMC7272175/ http://dx.doi.org/10.1016/j.jtcms.2020.05.006 Text en © 2020 Beijing University of Chinese Medicine. Production and hosting by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Qin Rong, Guang Meng, Qinggang Yu, Mang Xie, Qingyu Fang, Jian Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III |
title | Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III |
title_full | Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III |
title_fullStr | Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III |
title_full_unstemmed | Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III |
title_short | Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III |
title_sort | outlining the keyword co-occurrence trends in shuanghuanglian injection research: a bibliometric study using citespace iii |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272175/ http://dx.doi.org/10.1016/j.jtcms.2020.05.006 |
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