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Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis

OBJECTIVE: To review the literature related to diabetic cardiomyopathy (DCM), and investigate research hotspots and development trends of this field in the relevant studies based on CiteSpace software of text mining and visualization in scientific literature. METHODS: The relevant literature from th...

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Autores principales: Tao, Shiyi, Yang, Deshuang, Zhang, Lanxin, Yu, Lintong, Wang, Zihan, Li, Lingling, Zhang, Jin, Yao, Ruiqi, Huang, Li, Shao, Mingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452758/
https://www.ncbi.nlm.nih.gov/pubmed/36093165
http://dx.doi.org/10.3389/fcvm.2022.891428
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author Tao, Shiyi
Yang, Deshuang
Zhang, Lanxin
Yu, Lintong
Wang, Zihan
Li, Lingling
Zhang, Jin
Yao, Ruiqi
Huang, Li
Shao, Mingjing
author_facet Tao, Shiyi
Yang, Deshuang
Zhang, Lanxin
Yu, Lintong
Wang, Zihan
Li, Lingling
Zhang, Jin
Yao, Ruiqi
Huang, Li
Shao, Mingjing
author_sort Tao, Shiyi
collection PubMed
description OBJECTIVE: To review the literature related to diabetic cardiomyopathy (DCM), and investigate research hotspots and development trends of this field in the relevant studies based on CiteSpace software of text mining and visualization in scientific literature. METHODS: The relevant literature from the last 20 years was retrieved from the Web of Science (WoS) Core Collection database. After manual selection, each document record includes title, authors, year, organization, abstract, keywords, citation, descriptors, and identifiers. We imported the downloaded data into CiteSpace V (version 5.8.R2) to draw the knowledge map and conduct cooperative network analysis, cluster analysis, burst keyword analysis, and co-citation analysis. RESULTS: After manual screening, there were 3,547 relevant pieces of literature published in the last 18 years (from 2004 to 2021), including 2,935 articles and reviews, which contained 15,533 references, and the number was increasing year by year. The publications of DCM were dedicated by 778 authors of 512 institutions in 116 countries. The People's Republic of China dominated this field (1,117), followed by the USA (768) and Canada (176). In general, most articles were published with a focus on “oxidative stress,” “heart failure,” “diabetic cardiomyopathy,” “dysfunction,” “cardiomyopathy,” “expression,” “heart,” “mechanism,” and “insulin resistance.” Then, 10 main clusters were generated with a modularity Q of 0.6442 and a weighted mean silhouette of 0.8325 by the log-likelihood ratio (LLR) algorithm, including #0 heart failure, #1 perfused heart, #2 metabolic disease, #3 protective effect, #4 diabetic patient, #5 cardiac fibrosis, #6 vascular complication, #7 mitochondrial dynamics, #8 sarcoplasmic reticulum, and #9 zinc supplementation. The top five references with the strongest citation bursts include “Boudina and Abel”, “Jia et al.”, “Fang et al.”, “Poornima et al.”, and “Aneja et al.”. CONCLUSION: The global field of DCM has expanded in the last 20 years. The People's Republic of China contributes the most. However, there is little cooperation among authors and institutions. Overall, this bibliometric study identified the hotspots in DCM research, including “stress state,” “energy metabolism,” “autophagy,” “apoptosis,” “inflammation,” “fibrosis,” “PPAR,” etc. Thus, further research focuses on these topics that may be more helpful to identify, prevent DCM and improve prophylaxis strategies to bring benefit to patients in the near future.
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spelling pubmed-94527582022-09-09 Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis Tao, Shiyi Yang, Deshuang Zhang, Lanxin Yu, Lintong Wang, Zihan Li, Lingling Zhang, Jin Yao, Ruiqi Huang, Li Shao, Mingjing Front Cardiovasc Med Cardiovascular Medicine OBJECTIVE: To review the literature related to diabetic cardiomyopathy (DCM), and investigate research hotspots and development trends of this field in the relevant studies based on CiteSpace software of text mining and visualization in scientific literature. METHODS: The relevant literature from the last 20 years was retrieved from the Web of Science (WoS) Core Collection database. After manual selection, each document record includes title, authors, year, organization, abstract, keywords, citation, descriptors, and identifiers. We imported the downloaded data into CiteSpace V (version 5.8.R2) to draw the knowledge map and conduct cooperative network analysis, cluster analysis, burst keyword analysis, and co-citation analysis. RESULTS: After manual screening, there were 3,547 relevant pieces of literature published in the last 18 years (from 2004 to 2021), including 2,935 articles and reviews, which contained 15,533 references, and the number was increasing year by year. The publications of DCM were dedicated by 778 authors of 512 institutions in 116 countries. The People's Republic of China dominated this field (1,117), followed by the USA (768) and Canada (176). In general, most articles were published with a focus on “oxidative stress,” “heart failure,” “diabetic cardiomyopathy,” “dysfunction,” “cardiomyopathy,” “expression,” “heart,” “mechanism,” and “insulin resistance.” Then, 10 main clusters were generated with a modularity Q of 0.6442 and a weighted mean silhouette of 0.8325 by the log-likelihood ratio (LLR) algorithm, including #0 heart failure, #1 perfused heart, #2 metabolic disease, #3 protective effect, #4 diabetic patient, #5 cardiac fibrosis, #6 vascular complication, #7 mitochondrial dynamics, #8 sarcoplasmic reticulum, and #9 zinc supplementation. The top five references with the strongest citation bursts include “Boudina and Abel”, “Jia et al.”, “Fang et al.”, “Poornima et al.”, and “Aneja et al.”. CONCLUSION: The global field of DCM has expanded in the last 20 years. The People's Republic of China contributes the most. However, there is little cooperation among authors and institutions. Overall, this bibliometric study identified the hotspots in DCM research, including “stress state,” “energy metabolism,” “autophagy,” “apoptosis,” “inflammation,” “fibrosis,” “PPAR,” etc. Thus, further research focuses on these topics that may be more helpful to identify, prevent DCM and improve prophylaxis strategies to bring benefit to patients in the near future. Frontiers Media S.A. 2022-08-25 /pmc/articles/PMC9452758/ /pubmed/36093165 http://dx.doi.org/10.3389/fcvm.2022.891428 Text en Copyright © 2022 Tao, Yang, Zhang, Yu, Wang, Li, Zhang, Yao, Huang and Shao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Tao, Shiyi
Yang, Deshuang
Zhang, Lanxin
Yu, Lintong
Wang, Zihan
Li, Lingling
Zhang, Jin
Yao, Ruiqi
Huang, Li
Shao, Mingjing
Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis
title Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis
title_full Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis
title_fullStr Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis
title_full_unstemmed Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis
title_short Knowledge domain and emerging trends in diabetic cardiomyopathy: A scientometric review based on CiteSpace analysis
title_sort knowledge domain and emerging trends in diabetic cardiomyopathy: a scientometric review based on citespace analysis
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452758/
https://www.ncbi.nlm.nih.gov/pubmed/36093165
http://dx.doi.org/10.3389/fcvm.2022.891428
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