Bibliometric Study of Sodium Glucose Cotransporter 2 Inhibitors in Cardiovascular Research

Abstract

Background: An increasing number of studies have shown that sodium glucose cotransporter 2 (SGLT2) inhibitors, initially used as antidiabetic agents, have cardiovascular (CV) benefits. However, few bibliometric analyses have examined this field systematically. Our study aimed to visualize the publications to determine the trends and hotspots in CV research on SGLT2 inhibitors. Methods: Publications on SGLT2 inhibitors in cardiovascular research were retrieved from the Web of Science Core Collection. Microsoft Excel 2019, VOSviewer, and CiteSpace V were used to analyze and plot the references. Results: On July 3, 2020, 1509 records of CV research on SGLT2 inhibitors published from 2013 to 2020 were retrieved. Nearly half were authored by American scholars, and most were published in Diabetes Obesity Metabolism, Cardiovascular Diabetology, and Diabetes Therapy. The USA was the leading driving force, with a strong academic reputation in this area. Inzucchi SE published the most related articles, while Neal B was cited the most frequently. All the top 10 co-cited references were in the leading co-cited journal, The New England Journal of Medicine. "Atherosclerotic cardiovascular event" was the leading research hotspot. The keywords "cardiac metabolism," "heart failure hospitalization," and "heart failure with preserved ejection fraction" appeared most recently as research frontiers. Conclusion: Most studies focused on clinical trial outcomes, such as cardiovascular death and heart failure (HF) hospitalization. The mechanisms of SGLT2 inhibitors, especially those related to cardiac metabolism, may soon become hotspots and should be closely monitored.

Knowledge Domain and Emerging Trends in Ferroptosis Research: A Bibliometric and Knowledge-Map Analysis

“…There is no consensus on which bibliographic method is the best ( 30 ). Considering their characteristics and advantages, this research used both VOSviewer and CiteSpace ( 22 , 25 , 29 , 31 ).…”

Current State and Future Directions of Intranasal Delivery Route for Central Nervous System Disorders: A Scientometric and Visualization Analysis

“…Burst detection was also applied to detect keywords that had a surge of their appearance for a specific period of time. And it is usually considered to be another important indicator to determine the research hotspots, emerging trends and research frontiers over time ( Chen et al, 2010 ). By using Citespace, we have analyzed the significant burst keywords with research implications between 1998 through 2020.…”

“…Unlike systematic reviews, scientometrics refers to the quantitative analysis of literature information using mathematical and statistical methods, and has been often used with the intention of identifying the overall knowledge framework, evaluating current status and predicting future directions within a given field ( Chen et al, 2014a ; De-Castilhos-Ghisi et al, 2020 ). Recently, several bibliometric visualization tools, like HistCite ( Garfield et al, 2006 ), VOS viewer ( van-Eck and Waltman, 2010 ), Citespace ( Synnestvedt et al, 2005 ), and RBibliometrix ( Ke et al, 2020 ), have been widely used in various disciplines of scientific research, including material science ( Caixeta et al, 2020 ), food industry ( Blázquez-Ruiz et al, 2016 ), ecology ( De-Castilhos-Ghisi et al, 2020 ), and biomedicine ( Chen et al, 2010 ; Deng et al, 2020 ; Yeung et al, 2021 ). Nevertheless, as far as we know, there are no prior reports on scientometric studies covering researches on intranasal delivery, regardless of a large body of published literature on this scientific area that can provide important references to promote further research in this field.…”

Mapping Knowledge Structure and Research Frontiers of Ultrasound-Induced Blood-Brain Barrier Opening: A Scientometric Study

“…This database was chosen for three reasons. First, in contrast to other popular databases such as Google Scholar, PubMed, Scopus, or Embase, WOSCC is the most comprehensive and authoritative one across scientific disciplines (Chen et al, 2020 , 2021 ). Second, it is a typical citation database containing literature abstracts and other relevant data such as citation and research collaboration information, facilitating for scientometric analysis (Yeung et al, 2021 ).…”