A Bibliometric and Visual Analysis of Publications on Low-Density Lipoprotein Cholesterol Estimating Equations
Abstract
The concentration of low-density lipoprotein cholesterol (LDL-C) is recognized as a crucial factor in cardiovascular health. This study aims to conduct a comprehensive bibliometric and visual analysis to provide a comprehensive review of current research trends and patterns in this research area. We retrieved the publications from the Web of Science (WoS) database and conducted the bibliometric analyses using VOSviewer software, bibliometrix R package, and biblioshiny web tool. The analysis was conducted on 620 original articles and review papers published between 1990 and 2023 from institutions located in 62 different countries and published in 329 journals. The countries with the most articles were the US, China, and Japan. The most productive journals were Clinica Chemica Acta, Clinical Biochemistry, and Clinical Chemistry; while the most cited journals were Clinical Chemistry, Circulation, and JAMA-Journal of the American Medical Association. The co-occurrence network visualizations of keywords and terms provided a global overview of LDL-C estimating equations. The study presented provides valuable insights into potential research avenues within the examined field, serving as a foundation for future research initiatives.
Keywords
Bibliometric analysis, Cardiovascular disease, Low-density lipoprotein cholesterol, LDL-C, VOSviewer
Supporting Institution
None
Ethical Statement
Ethics committee approval is not required as there is no human or animal research.
Thanks
None
References
- [1] Mensah G.A., Roth G.A., Fuster V., The global burden of cardiovascular diseases and risk factors: 2020 and beyond, J. Am. Coll. Cardiol., 74 (20) (2019) 2529-32.
- [2] Hedayatnia M., Asadi Z., Zare-Feyzabadi R., Yaghooti-Khorasani M., Ghazizadeh H., Ghaffarian-Zirak M. et al, Dyslipidemia and cardiovascular disease risk among the MASHAD study population, Lipids Health Dis., 19 (1) (2020) 1-11.
- [3] Mortensen M.B., Dzaye O., Bøtker H.E., Jensen J.M., Maeng M., Bentzon J.F., et al, Low-Density Lipoprotein Cholesterol Is Predominantly Associated With Atherosclerotic Cardiovascular Disease Events in Patients With Evidence of Coronary Atherosclerosis: The Western Denmark Heart Registry, Circulation, 147 (14) (2023) 1053-1063.
- [4] Upadhyay R.K., Emerging Risk Biomarkers in Cardiovascular Diseases and Disorders, J. Lipids, 2015 (2015) 1-50.
- [5] Steyn N., Muller Rossouw H., Pillay T.S., Martins J., Comparability of calculated LDL-C with directly measured LDL-C in selected paediatric and adult cohorts, Clin. Chim. Acta, 537 (2022) 158-166.
- [6] Ertürk Zararsız G., Bolat S., Cephe A., Kochan N., Yerlitas S.I., Dogan H.O., et al, Validation of Friedewald, Martin-Hopkins and Sampson low-density lipoprotein cholesterol equations, PLoS One, 17 (5) (2022) e0263860.
- [7] Martin S.S., Blaha M.J., Elshazly M.B., Brinton E.A., Toth P.P., McEvoy J.W., et al, Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications, J. Am. Coll. Cardiol., 62 (8) (2013) 732-739.
- [8] Samuel C., Park J., Sajja A., Michos E.D., Blumenthal R.S., Jones S.R., et al, Accuracy of 23 Equations for Estimating LDL Cholesterol in a Clinical Laboratory Database of 5,051,467 Patients, Glob. Heart, 18 (1) (2023) 36.
- [9] Chung S., Usefulness of the Martin Method for Estimation of Low-Density Lipoprotein Cholesterol in Coronary Atherosclerosis, Med. Princ. Pract., 27 (1) (2018) 8-14.
- [10] Kapoor R., Chakraborty M., Singh N., A Leap above Friedewald Formula for Calculation of Low-Density Lipoprotein-Cholesterol, J. Lab. Physicians, 7 (01) (2015) 011-016.