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 in | Biotechnology & genetic engineering reviews Vol. 40; no. 4; pp. 4215 - 4237 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Taylor & Francis
01.11.2024
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ISSN | 0264-8725 2046-5556 2046-5556 |
DOI | 10.1080/02648725.2023.2208452 |
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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. |
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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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Cites_doi | 10.1186/s13007-017-0159-5 10.1038/ng.2520 10.1186/1472-6947-13-52 10.1056/NEJMcpc1413303 10.1111/jan.13541 10.1089/acm.2008.0594 10.1093/rheumatology/keq251 10.1186/s12886-018-0752-z 10.1002/art.41026 10.2340/00015555-0830 10.1055/a-1014-3498 10.3390/ijerph17145228 10.1097/MD.0000000000019814 10.1097/ACM.0b013e31828f603d 10.1016/j.avsg.2013.07.015 10.1371/journal.pone.0084214 10.1016/j.ijmedinf.2020.104274 10.1097/MPG.0b013e3182936ec4 10.1038/srep37257 10.1007/s00784-021-04047-8 10.1136/annrheumdis-2014-205571 10.1056/NEJM199910213411707 10.1093/rheumatology/kez267 10.1016/j.jfo.2020.04.064 10.1093/rheumatology/33.1.48 10.1016/s0190-9622(94)70102-4 10.1016/j.ophtha.2013.09.048 10.1080/14397595.2021.1891670 10.1080/14397595.2018.1457424 10.1038/srep19651 10.1038/srep20057 10.1177/13524585221075542 10.2196/jmir.3326 |
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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 |
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