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. 2023 Nov 28:14:1272651.
doi: 10.3389/fendo.2023.1272651. eCollection 2023.

Global research trends of diabetes remission: a bibliometric study

Xue Yang #  1   2   3 , Zhiwei He #  1   2 , Qilin Chen #  3   4 , Yu Chen  1   2 , Guofang Chen  1   2 , Chao Liu  1   2
Affiliations

Global research trends of diabetes remission: a bibliometric study

Xue Yang et al. Front Endocrinol (Lausanne). .

Abstract

Background: Research on diabetes remission has garnered prominence in recent years. However, to date, no pertinent bibliometric study has been published. This study sought to elucidate the current landscape and pinpoint potential new research directions through a bibliometric analysis of diabetes remission.

Methods: We perused relevant articles on diabetes remission from January 1, 2000, to April 16, 2023, in the Web of Science. We utilized CiteSpace software and VOSviewer software to construct knowledge maps and undertake analysis of countries, institutional affiliations, author contributions, journals, and keywords. This analysis facilitated the identification of current research foci and forecasting future trends.

Results: A total of 970 English articles were procured, and the annual publication volume manifested a steady growth trend. Most of the articles originated from America (n=342, 35.26%), succeeded by China and England. Pertaining to institutions, the University of Newcastle in England proliferated the most articles (n=36, 3.71%). Taylor R authored the most articles (n=35, 3.61%), and his articles were also the most co-cited (n=1756 times). Obesity Surgery dominated in terms of published articles (n=81, 8.35%). "Bariatric surgery" was the most prevalently used keyword. The keyword-clustering map revealed that the research predominantly centered on diabetes remission, type 1 diabetes, bariatric surgery, and lifestyle interventions. The keyword emergence and keyword time-zone maps depicted hotspots and shifts in the domain of diabetes remission. Initially, the hotspots were primarily fundamental experiments probing the feasibilities and mechanisms of diabetes remission, such as transplantation. Over the course, the research trajectory transitioned from basic to clinical concerning diabetes remission through bariatric surgery, lifestyle interventions, and alternative strategies.

Conclusion: Over the preceding 20 years, the domain of diabetes remission has flourished globally. Bariatric surgery and lifestyle interventions bestow unique advantages for diabetes remission. Via the maps, the developmental milieu, research foci, and avant-garde trends in this domain are cogently portrayed, offering guidance for scholars.

Keywords: Citespace; VOSviewer; bibliometric study; diabetes mellitus; remission.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Annual publications worldwide.
Figure 2
Figure 2
Country cooperation network map. (A) Country cooperation network map made by CiteSpace. The node represents the certain country while the links reflect the co-occurrence relationships. The color of node and line indicates different years. (B) Country cooperation network map made by VOSviewer. The size of node indicates the number of articles published by a certain country, and the links between two nodes mean a collaboration between each other.
Figure 3
Figure 3
Institution cooperation network map. (A) Institution cooperation network map made by CiteSpace. The node represents the certain institution while the links reflect the co-occurrence relationships. The color of node and line indicates different years. (B) Institution cooperation network map made by VOSviewer. The size of node indicates the number of articles published by a certain institution, and the links between two nodes mean a collaboration between each other.
Figure 4
Figure 4
Author cooperation network map. (A) Author cooperation network map made by CiteSpace. The node represents the certain author while the links reflect the co-occurrence relationships. The color of node and line indicates different years. (B) Author cooperation network map made by VOSviewer. The size of node indicates the number of articles published by a certain author, and the links between two nodes mean a collaboration between each other.
Figure 5
Figure 5
Author co-citation network map. The size of node indicates the co-cited frequency of a certain author, and the links between two circles mean a co-citation relationship between authors.
Figure 6
Figure 6
Journal cooperation network map. The size of node indicates the number of articles published by a certain journal, and the links between two nodes mean a collaboration between each other.
Figure 7
Figure 7
Journal cooperation density map. The size of the word and round, and the opacity of yellow are positively associated with the cited frequency.
Figure 8
Figure 8
Keyword co-occurrence map. The larger the diameter of the circle, the higher the frequency, and the color from purple to yellow represents the year 2000 to 2023.
Figure 9
Figure 9
Keyword emergence map. The blue line represents the period from 2000 to 2023 and the red line represents the burst’s maintenance period.
Figure 10
Figure 10
Keyword clustering map. Different color areas represent different clusters. The color gradation from 0 to 10 corresponds to a chronological progression from 2000 to 2023.
Figure 11
Figure 11
Keyword time zone map. The larger the diameter of the circle, the higher the frequency, and the color from purple to yellow represents the year 2000 to 2023.
Figure 12
Figure 12
keyword clustering timeline map. The larger the diameter of the circle, the higher the frequency, and the color from purple to yellow represents the year 2000 to 2023.
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