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Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021
BACKGROUND AND PURPOSE: Pain is one of the most common symptoms in patients after stroke. It is a distressing experience that affects patients’ quality of life, and it is highly prevalent in clinical practice. The pathogenesis mechanisms of PSP are not so clear, and there is currently a lack of effe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830001/ https://www.ncbi.nlm.nih.gov/pubmed/36636268 http://dx.doi.org/10.2147/JPR.S375063 |
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author | Xiong, Feng Shen, Peng Li, Zhenhui Huang, Ziyi Liang, Ying Chen, Xiwen Li, Yutong Chai, Xinping Feng, Zhen Li, Moyi |
author_facet | Xiong, Feng Shen, Peng Li, Zhenhui Huang, Ziyi Liang, Ying Chen, Xiwen Li, Yutong Chai, Xinping Feng, Zhen Li, Moyi |
author_sort | Xiong, Feng |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Pain is one of the most common symptoms in patients after stroke. It is a distressing experience that affects patients’ quality of life, and it is highly prevalent in clinical practice. The pathogenesis mechanisms of PSP are not so clear, and there is currently a lack of effective medical treatments, hence it is necessary to establish a sufficient understanding of this disease. Limited number of studies have applied bibliometric methods to systematically analyze studies on post-stroke pain. This study aimed to systematically analyze scientific studies conducted worldwide on post-stroke pain from 2012 to 2021 to evaluate global trends in this field using a bibliometric analysis. METHODS: Publications related to post-stroke pain from 2012 to 2021 were obtained from the Web of Science Core Collection database. Bibliometrics Biblioshiny R-package software was used to analyze the relationship of publication year with country, institution, journals, authors, and keywords and to generate variant visual maps to show annual publications, most relevant countries, authors, sources, keywords, and top-cited articles. RESULTS: In this study, 5484 papers met the inclusion criteria. The annual growth rate of publications was 5.13%. The USA had the highest number of publications (1381, 25.2%) and citations (36,395), and the University of Toronto had the highest number of papers (156, 2.8%). “Stroke”, “management”, “pain”, “risk”, “prevalence”, “ischemic stroke”, “risk factors”, “disease”, “diagnosis” and “therapy” are the top 10 keywords. CONCLUSION: The global research interest regarding PSP has maintained growing over the past ten years. Both central post stroke pain and hemiplegic shoulder pain are the hottest research subjects. Further investigations are needed in order to reveal the mystery of the pathophysiologic mechanisms of CPSP, and high-quality well-designed trials of potential treatments of CPSP and HSP are also needed. |
format | Online Article Text |
id | pubmed-9830001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-98300012023-01-11 Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021 Xiong, Feng Shen, Peng Li, Zhenhui Huang, Ziyi Liang, Ying Chen, Xiwen Li, Yutong Chai, Xinping Feng, Zhen Li, Moyi J Pain Res Original Research BACKGROUND AND PURPOSE: Pain is one of the most common symptoms in patients after stroke. It is a distressing experience that affects patients’ quality of life, and it is highly prevalent in clinical practice. The pathogenesis mechanisms of PSP are not so clear, and there is currently a lack of effective medical treatments, hence it is necessary to establish a sufficient understanding of this disease. Limited number of studies have applied bibliometric methods to systematically analyze studies on post-stroke pain. This study aimed to systematically analyze scientific studies conducted worldwide on post-stroke pain from 2012 to 2021 to evaluate global trends in this field using a bibliometric analysis. METHODS: Publications related to post-stroke pain from 2012 to 2021 were obtained from the Web of Science Core Collection database. Bibliometrics Biblioshiny R-package software was used to analyze the relationship of publication year with country, institution, journals, authors, and keywords and to generate variant visual maps to show annual publications, most relevant countries, authors, sources, keywords, and top-cited articles. RESULTS: In this study, 5484 papers met the inclusion criteria. The annual growth rate of publications was 5.13%. The USA had the highest number of publications (1381, 25.2%) and citations (36,395), and the University of Toronto had the highest number of papers (156, 2.8%). “Stroke”, “management”, “pain”, “risk”, “prevalence”, “ischemic stroke”, “risk factors”, “disease”, “diagnosis” and “therapy” are the top 10 keywords. CONCLUSION: The global research interest regarding PSP has maintained growing over the past ten years. Both central post stroke pain and hemiplegic shoulder pain are the hottest research subjects. Further investigations are needed in order to reveal the mystery of the pathophysiologic mechanisms of CPSP, and high-quality well-designed trials of potential treatments of CPSP and HSP are also needed. Dove 2023-01-05 /pmc/articles/PMC9830001/ /pubmed/36636268 http://dx.doi.org/10.2147/JPR.S375063 Text en © 2023 Xiong et al. https://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/ (https://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 Xiong, Feng Shen, Peng Li, Zhenhui Huang, Ziyi Liang, Ying Chen, Xiwen Li, Yutong Chai, Xinping Feng, Zhen Li, Moyi Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021 |
title | Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021 |
title_full | Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021 |
title_fullStr | Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021 |
title_full_unstemmed | Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021 |
title_short | Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021 |
title_sort | bibliometric analysis of post-stroke pain research published from 2012 to 2021 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830001/ https://www.ncbi.nlm.nih.gov/pubmed/36636268 http://dx.doi.org/10.2147/JPR.S375063 |
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