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Updated: Jan 18, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Knowledge mapping of SGLT2-inhibitors and cardiovascular outcomes: A bibliometric analysis
Aysa Rezabakhsh1, Hadis Iraji1, Ashot Avagimyan2
1Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Introduction:
Initially developed for the treatment of type 2 diabetes mellitus (T2DM), SGLT2 inhibitors have increasingly been recognized for their substantial cardiovascular, renal, and metabolic benefits. This study undertakes a systematic bibliometric analysis to delineate research trends, quantify advancements, and identify influential studies on SGLT2 inhibitors and cardiovascular outcomes.
Methods:
A comprehensive literature search was performed using the Scopus database, resulting in 10,211 documents up to the search date. Both original research articles and reviews (narrative and systematic) were included. Quantitative metrics such as publication count, citation analysis, and authorship were employed. Network visualization tools (e.g., VOSviewer) and bibliometric software (R Studio with bibliometrix packages) were used to analyze collaboration networks, keyword co-occurrence, and thematic clustering.
Results:
The analysis revealed a significant upward trend in publication volume, with a notable peak in recent years, indicating a heightened interest in the topic among scientists. The United States and selected European institutions emerged as major contributors, with prominent authors and funding sources influencing the research output. Thematic analysis highlighted a focus on cardiovascular diseases, heart failure, renal outcomes, and mechanistic studies of SGLT2 inhibitor action. Notably, landmark randomized controlled trials have reported significant reductions in cardiovascular mortality, heart failure hospitalizations, and progression of kidney disease.
Conclusion:
This study underscores the transformative impact of SGLT2 inhibitors on cardiovascular therapy. The analytical framework highlights the expansion of the field, and the integration of translational research.
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