Mapping themes, trends, and knowledge structure of Behcet syndrome: a bibliometric analysis from 2010 to 2021

This study employed bibliometric analysis to examine the current literature on Behcet Syndrome, an autoimmune disorder with complex pathophysiology and inadequate therapeutic options. The researchers collected 3,462 publications related to Behcet Syndrome from 2010 to 2021 via PubMed and conducted c...

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Published inBiotechnology & genetic engineering reviews Vol. 40; no. 4; pp. 4215 - 4237
Main Authors Wu, Haopeng, Zhong, Yuan, Zheng, Bowen, Liu, Yi
Format Journal Article
LanguageEnglish
Published England Taylor & Francis 01.11.2024
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ISSN0264-8725
2046-5556
2046-5556
DOI10.1080/02648725.2023.2208452

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Abstract This study employed bibliometric analysis to examine the current literature on Behcet Syndrome, an autoimmune disorder with complex pathophysiology and inadequate therapeutic options. The researchers collected 3,462 publications related to Behcet Syndrome from 2010 to 2021 via PubMed and conducted co-word and social network analyses to identify research hotspots and potential future directions. The co-word analysis produced a bibliographic data matrix, which revealed 72 high-frequency medical topic title (MeSH) terms. Using repeated dichotomy in the gCLUTO software, the researchers created a visualization matrix that classified the hot topics into six categories over the 12-year study period. The first quadrant contained six mature and well-developed research topics, including biological therapy, immunosuppressive agents, clinical manifestations, complications of Behcet Syndrome, Behcet Syndrome diagnosis, and aneurysm etiology and therapy. The third quadrant comprised four research topics with potential for growth, including Behcet Syndrome genetics and polymorphism, immunosuppressive agents, biological therapy and heart diseases, and thrombosis etiology. The fourth quadrant encompassed the pathophysiology of and quality of life in Behcet Syndrome as well as psychology. In the social network analysis, the researchers identified potential hotspots based on subject keywords close to the network's edge. These included genetic association studies, antibodies, genetic predisposition to disease/genetics, and monoclonal and humanized therapeutic use. Overall, this study's bibliometric analysis of Behcet Syndrome literature from the past 12 years identified unexplored subjects and developing hot spots that could lead to potential research directions for Behcet Syndrome.
AbstractList This study employed bibliometric analysis to examine the current literature on Behcet Syndrome, an autoimmune disorder with complex pathophysiology and inadequate therapeutic options. The researchers collected 3,462 publications related to Behcet Syndrome from 2010 to 2021 via PubMed and conducted co-word and social network analyses to identify research hotspots and potential future directions. The co-word analysis produced a bibliographic data matrix, which revealed 72 high-frequency medical topic title (MeSH) terms. Using repeated dichotomy in the gCLUTO software, the researchers created a visualization matrix that classified the hot topics into six categories over the 12-year study period. The first quadrant contained six mature and well-developed research topics, including biological therapy, immunosuppressive agents, clinical manifestations, complications of Behcet Syndrome, Behcet Syndrome diagnosis, and aneurysm etiology and therapy. The third quadrant comprised four research topics with potential for growth, including Behcet Syndrome genetics and polymorphism, immunosuppressive agents, biological therapy and heart diseases, and thrombosis etiology. The fourth quadrant encompassed the pathophysiology of and quality of life in Behcet Syndrome as well as psychology. In the social network analysis, the researchers identified potential hotspots based on subject keywords close to the network's edge. These included genetic association studies, antibodies, genetic predisposition to disease/genetics, and monoclonal and humanized therapeutic use. Overall, this study's bibliometric analysis of Behcet Syndrome literature from the past 12 years identified unexplored subjects and developing hot spots that could lead to potential research directions for Behcet Syndrome.This study employed bibliometric analysis to examine the current literature on Behcet Syndrome, an autoimmune disorder with complex pathophysiology and inadequate therapeutic options. The researchers collected 3,462 publications related to Behcet Syndrome from 2010 to 2021 via PubMed and conducted co-word and social network analyses to identify research hotspots and potential future directions. The co-word analysis produced a bibliographic data matrix, which revealed 72 high-frequency medical topic title (MeSH) terms. Using repeated dichotomy in the gCLUTO software, the researchers created a visualization matrix that classified the hot topics into six categories over the 12-year study period. The first quadrant contained six mature and well-developed research topics, including biological therapy, immunosuppressive agents, clinical manifestations, complications of Behcet Syndrome, Behcet Syndrome diagnosis, and aneurysm etiology and therapy. The third quadrant comprised four research topics with potential for growth, including Behcet Syndrome genetics and polymorphism, immunosuppressive agents, biological therapy and heart diseases, and thrombosis etiology. The fourth quadrant encompassed the pathophysiology of and quality of life in Behcet Syndrome as well as psychology. In the social network analysis, the researchers identified potential hotspots based on subject keywords close to the network's edge. These included genetic association studies, antibodies, genetic predisposition to disease/genetics, and monoclonal and humanized therapeutic use. Overall, this study's bibliometric analysis of Behcet Syndrome literature from the past 12 years identified unexplored subjects and developing hot spots that could lead to potential research directions for Behcet Syndrome.
This study employed bibliometric analysis to examine the current literature on Behcet Syndrome, an autoimmune disorder with complex pathophysiology and inadequate therapeutic options. The researchers collected 3,462 publications related to Behcet Syndrome from 2010 to 2021 via PubMed and conducted co-word and social network analyses to identify research hotspots and potential future directions. The co-word analysis produced a bibliographic data matrix, which revealed 72 high-frequency medical topic title (MeSH) terms. Using repeated dichotomy in the gCLUTO software, the researchers created a visualization matrix that classified the hot topics into six categories over the 12-year study period. The first quadrant contained six mature and well-developed research topics, including biological therapy, immunosuppressive agents, clinical manifestations, complications of Behcet Syndrome, Behcet Syndrome diagnosis, and aneurysm etiology and therapy. The third quadrant comprised four research topics with potential for growth, including Behcet Syndrome genetics and polymorphism, immunosuppressive agents, biological therapy and heart diseases, and thrombosis etiology. The fourth quadrant encompassed the pathophysiology of and quality of life in Behcet Syndrome as well as psychology. In the social network analysis, the researchers identified potential hotspots based on subject keywords close to the network's edge. These included genetic association studies, antibodies, genetic predisposition to disease/genetics, and monoclonal and humanized therapeutic use. Overall, this study's bibliometric analysis of Behcet Syndrome literature from the past 12 years identified unexplored subjects and developing hot spots that could lead to potential research directions for Behcet Syndrome.
Author Zhong, Yuan
Wu, Haopeng
Zheng, Bowen
Liu, Yi
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hot spots
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SubjectTerms aneurysm
Behcet syndrome
Behcet Syndrome - genetics
Bibliometric analysis
Bibliometrics
biotechnology
computer software
etiology
genetic predisposition to disease
genetics
heart
hot spots
Humans
immunosuppression
Immunosuppressive Agents - therapeutic use
pathophysiology
psychology
quality of life
social network analysis
social networks
strategic diagram
therapeutics
thrombosis
Title Mapping themes, trends, and knowledge structure of Behcet syndrome: a bibliometric analysis from 2010 to 2021
URI https://www.tandfonline.com/doi/abs/10.1080/02648725.2023.2208452
https://www.ncbi.nlm.nih.gov/pubmed/37144667
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Volume 40
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