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      • Record: found
      • Abstract: found
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      Research status and trends of the diabetic cardiomyopathy in the past 10 years (2012–2021): A bibliometric analysis

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          Abstract

          Background

          Diabetic cardiomyopathy is one of the most life-threatening diabetic complications. However, the previous studies only discuss a particular aspect or characteristic of DCM, the current state and trends were explored by limited research. We aimed to perform a systemically bibliometric study of DCM research progress status in the past decade, visualize the internal conceptual structure and potential associations, and further explore the prospective study trends.

          Methods

          Articles related to DCM published from January 2012 to December 2021 were collected in the Web of Science core collection (WoSCC) database on June 24, 2022. We exported all bibliographic records, including titles, abstracts, keywords, authorship, institutions, addresses, publishing sources, references, citation times, and year of publication. In addition, the journal Impact Factor and Hirsch index were obtained from the Journal Citation Report. We conducted the data screening, statistical analysis, and visualization via the Bibliometrix R package. VOS viewer software was employed to generate the collaboration network map among countries and institutions for better performance in visualization.

          Results

          In total, 1,887 original research articles from 2012 to 2021 were identified. The number of annual publications rapidly increased from 107 to 278, and a drastic increase in citation times was observed in 2017–2019. As for global contributions, the United States was the most influential country with the highest international collaboration, while China was the most productive country. Professor Cai Lu was the most prolific author. Shandong University published the most articles. Cardiovascular Diabetology journal released the most DCM-related articles. “Metabolic Stress-induced Activation of FoxO1 Triggers Diabetic Cardiomyopathy in Mice” Battiprolu PK et al., J Clin Invest, 2012. was the most top-cited article regarding local citations. The top three keywords in terms of frequency were apoptosis, oxidative stress, and fibrosis. The analysis of future topic trends indicated that “Forkhead box protein O1,” “Heart failure with preserved ejection fraction,” “Dapagliflozin,” “Thioredoxin,” “Mitochondria dysfunction,” “Glucose,” “Pyroptosis,” “Cardiac fibroblast” and “Long non-coding RNA” could be promising hotspots.

          Conclusion

          This study provides meaningful insights into DCM, which is expected to assist cardiologists and endocrinologists in exploring frontiers and future research directions in the domain through a refined and concise summary.

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          Most cited references109

          • Record: found
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          Software survey: VOSviewer, a computer program for bibliometric mapping

          Nees Jan van Eck, Ludo Waltman (2011)
          We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
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            bibliometrix : An R-tool for comprehensive science mapping analysis

            Corrado Cuccurullo, Massimo Aria (2017)
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              IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045

              J.D. da Rocha Fernandes, Y. Huang, J.E. Shaw … (2018)
              Since the year 2000, IDF has been measuring the prevalence of diabetes nationally, regionally and globally.
              Article 0 comments Cited 1927 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Journal
                Journal ID (nlm-ta): Front Cardiovasc Med
                Journal ID (iso-abbrev): Front Cardiovasc Med
                Journal ID (publisher-id): Front. Cardiovasc. Med.
                Title: Frontiers in Cardiovascular Medicine
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 2297-055X
                Publication date (Electronic): 20 October 2022
                Publication date Collection: 2022
                Volume: 9
                Electronic Location Identifier: 1018841
                Affiliations
                [1] 1Institute of Metabolic Diseases, Guang’anmen Hospital, China Academy of Chinese Medical Sciences , Beijing, China
                [2] 2Graduate School, Beijing University of Chinese Medicine , Beijing, China
                Author notes

                Edited by: Catherine A. Reardon, The University of Chicago, United States

                Reviewed by: Mingming Zhang, Tangdu Hospital, China; Liping Wei, Nankai University, China

                *Correspondence: Boxun Zhang, 1243876560@ 123456qq.com

                †These authors have contributed equally to this work and share first authorship

                This article was submitted to Cardiovascular Metabolism, a section of the journal Frontiers in Cardiovascular Medicine

                Article
                DOI: 10.3389/fcvm.2022.1018841
                PMC ID: 9630656
                PubMed ID: 36337893
                SO-VID: e96ddc25-0616-4f82-b5b2-fef272873641
                Copyright © Copyright © 2022 Wang, Tian, Gao, Zhang and Zhao.
                License:

                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.

                History
                Date received : 14 August 2022
                Date accepted : 28 September 2022
                Page count
                Figures: 11, Tables: 3, Equations: 0, References: 109, Pages: 18, Words: 10359
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Funded by: National Key Research and Development Program of China, doi 10.13039/501100012166;
                Funded by: China Postdoctoral Science Foundation, doi 10.13039/501100002858;
                Categories
                Subject: Cardiovascular Medicine
                Subject: Original Research

                Keywords: diabetic cardiomyopathy,cardiomyopathy,diabetic complications,bibliometric analysis,data visualization
                Data availability:
                Keywords: diabetic cardiomyopathy, cardiomyopathy, diabetic complications, bibliometric analysis, data visualization

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