Triglyceride-glucose index as a marker in cardiovascular diseases; a bibliometric study and visual analysis

(2025) Triglyceride-glucose index as a marker in cardiovascular diseases; a bibliometric study and visual analysis. Annals of Medicine and Surgery. pp. 1487-1505. ISSN 2049-0801

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Abstract

Objective:This study aims to conduct a bibliometric analysis of the triglyceride-glucose (TyG) index in relation to cardiovascular disorders.Methods:Data for the analysis were extracted from the Web of Science Core Collection database on 13 July 2024. We utilized VOSviewer, CiteSpace, and Biblioshiny tools for the analysis.Results:The study revealed a marked increase in research outputs on the TyG index in recent years, peaking with 137 publications in 2023. China emerged as the leading contributor, followed by the USA. The Chinese Academy of Medical Sciences and Peking Union Medical College were among the top contributing institutions. Shouling Wu and Shuohua Chen emerged as the leading authors, with the journal Cardiovascular Diabetology publishing the most articles on this topic. Keyword analysis identified "insulin-resistance" as the most frequently occurring term, followed by "risk." Cluster analysis identified eleven key research areas, including "percutaneous coronary intervention," "obesity indicators," "arterial stiffness," and "heart failure."Conclusion:This bibliometric analysis highlights the expanding role of the TyG index in metabolic and cardiovascular research. Key clusters such as percutaneous coronary intervention, obesity indicators, arterial stiffness, heart failure, new-onset hypertension, predicting outcomes, and subclinical coronary artery disease emphasize its wide applicability across diverse clinical settings. The keyword "risk" was the most frequently occurring term, underscoring the importance of the TyG index in cardiovascular risk assessment, alongside its growing use in prognostic applications. These findings reflect the increasing recognition of the TyG index as a pivotal biomarker in cardiovascular medicine and encourage further exploration of its clinical integration.

Item Type: Article
Keywords: bibliometric analysis cardiovascular diseases data visualization triglyceride-glucose index coronary-artery-disease tyg index insulin-resistance model assessment population trends homa General & Internal Medicine
Page Range: pp. 1487-1505
Journal or Publication Title: Annals of Medicine and Surgery
Journal Index: ISI
Volume: 87
Number: 3
Identification Number: https://doi.org/10.1097/ms9.0000000000003019
ISSN: 2049-0801
Depositing User: خانم ناهید ضیائی
URI: http://eprints.mui.ac.ir/id/eprint/31308

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