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A Bibliometric and Visual Analysis of Publications on Low-Density Lipoprotein Cholesterol Estimating Equations

Year 2024, Volume: 45 Issue: 4, 648 - 657, 30.12.2024

Serkan Bolat , Serra İlayda Yerlitaş , Ahu Cephe , Necla Koçhan , Gözde Ertürk Zararsız , Halef Okan Dogan , Gökmen Zararsız

https://doi.org/10.17776/csj.1452125

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

Ethical Statement

Ethics committee approval is not required as there is no human or animal research.

Supporting Institution

None

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.
  • [11] Sampson M., Ling C., Sun Q., Harb R., Ashmaig M., Warnick R., et al, A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients with Normolipidemia and/or Hypertriglyceridemia, JAMA Cardiol., 5 (5) (2020) 540-548.
  • [12] Alpdemir M.F., Alpdemir M., Comparison of different equations for estimation of low-density lipoprotein (LDL)–cholesterol, Turk. J. Biochem., 45 (5) (2020) 601-611.
  • [13] Çubukçu H.C., Topcu D.İ., Estimation of low-density lipoprotein cholesterol concentration using machine learning, Lab. Med., 53 (2) (2022) 161-171.
  • [14] Hataysal E.P., Körez M.K., Yeşildal F., İşman F.K., A comparative evaluation of low-density lipoprotein cholesterol estimation: Machine learning algorithms versus various equations, Clin. Chim. Acta, 557 (2024) 117853.
  • [15] Sezer S., Oter A., Ersoz B., Topcuoglu C., Bulbul H.İ., Sagiroglu S., et al, Explainable artificial intelligence for LDL cholesterol prediction and classification, Clin. Biochem., 130 (2024) 110791.
  • [16] Ellegaard O., Wallin J.A., The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105 (3) (2015) 1809-1831.
  • [17] Maniu I., Maniu G., Totan M., Clinical and Laboratory Characteristics of Pediatric COVID-19 Population—A Bibliometric Analysis, J. Clin. Med., 11 (20) (2022) 5987.
  • [18] Feng X.W., Hadizadeh M., Zheng L.H., Li W.H., A Bibliometric and Visual Analysis of Exercise Intervention Publications for Alzheimer’s Disease (1998–2021), J. Clin. Med., 11 (19) (2022) 5903.
  • [19] Ephraim R.K.D., Ativi E., Ashie S.A., Abaka-Yawson A., Darkwah K.O., Assessment of estimated low-density lipoprotein-cholesterol (LDL-C) equations: a systematic review and meta-analysis, Bull. Natl. Res. Cent., 47 (1) (2023) 71.
  • [20] Aria M., Cuccurullo C., bibliometrix: An R-tool for comprehensive science mapping analysis, J. Informetr., 11 (4) (2017) 959-975.
  • [21] van Eck N.J., Waltman L., Software survey: VOSviewer, a computer program for bibliometric mapping, Scientometrics, 84 (2) (2010) 523-538.
  • [22] Martin S.S., Blaha M.J., Elshazly M.B., Toth P.P., Kwiterovich P.O., Bluementhal R.S., et al, Comparison of a novel method vs the Friedewald equation for estimating low-density lipoprotein cholesterol levels from the standard lipid profile, JAMA, 310 (19) (2013) 2061-2068.
  • [23] Warnick G.R., Knopp R.H., Fitzpatrick V., Branson L., Estimating low-density lipoprotein cholesterol by the Friedewald equation is adequate for classifying patients on the basis of nationally recommended cutpoints, Clin. Chem., 36 (1) (1990) 15-19.
  • [24] Nauck M., Warnick G.R., Rifai N., Methods for measurement of LDL-cholesterol: A critical assessment of direct measurement by homogeneous assays versus calculation, Clin. Chem., 48 (2) (2002) 236-254.
  • [25] McNamara J.R., Jenner J.L., Li Z., Wilson P.W.F., Schaefer E.J., Change in LDL particle size is associated with change in plasma triglyceride concentration, Arterioscler. Thromb. Vasc. Biol., 12 (11) (1992) 1284-1290.
  • [26] Tremblay A.J., Morrissette H., Gagné J.M., Bergeron J., Gagné C., Couture P., Validation of the Friedewald formula for the determination of low-density lipoprotein cholesterol compared with β-quantification in a large population, Clin. Biochem., 37 (9) (2004) 785-790.
  • [27] Frost P.H., Havel R.J., Rationale for use of non-high-density lipoprotein cholesterol rather than low-density lipoprotein cholesterol as a tool for lipoprotein cholesterol screening and assessment of risk and therapy, Am. J. Cardiol., 81 (4 A) (1998) 26B-31B.
  • [28] Chen Y., Zhang X., Pan B., Jin X., Yao H., Chen B., et al, A modified formula for calculating low-density lipoprotein cholesterol values, Lipids Health Dis., 9 (1) (2010) 1-5.
  • [29] Rifai N., Warnick G.R., McNamara J.R., Belcher J.D., Grinstead G.F., Ivan D Frantz J., Measurement of low-density-lipoprotein cholesterol in serum: a status report, Clin. Chem., 38 (1) (1992) 150-160.
  • [30] Domanski M.J., Tian X., Wu C.O., Reis J.P., Dey A.K., Gu Y., et al, Time Course of LDL Cholesterol Exposure and Cardiovascular Disease Event Risk, J. Am. Coll. Cardiol., 76 (13) (2020) 1507-1516.
  • [31] Stanciulescu L.A., Scafa-Udriste A., Dorobantu M., Exploring the Association between Low-Density Lipoprotein Subfractions and Major Adverse Cardiovascular Outcomes—A Comprehensive Review, Int. J. Mo.l Sci. 24 (7) (2023) 6669.

Year 2024, Volume: 45 Issue: 4, 648 - 657, 30.12.2024

Serkan Bolat , Serra İlayda Yerlitaş , Ahu Cephe , Necla Koçhan , Gözde Ertürk Zararsız , Halef Okan Dogan , Gökmen Zararsız

https://doi.org/10.17776/csj.1452125

Abstract

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.
  • [11] Sampson M., Ling C., Sun Q., Harb R., Ashmaig M., Warnick R., et al, A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients with Normolipidemia and/or Hypertriglyceridemia, JAMA Cardiol., 5 (5) (2020) 540-548.
  • [12] Alpdemir M.F., Alpdemir M., Comparison of different equations for estimation of low-density lipoprotein (LDL)–cholesterol, Turk. J. Biochem., 45 (5) (2020) 601-611.
  • [13] Çubukçu H.C., Topcu D.İ., Estimation of low-density lipoprotein cholesterol concentration using machine learning, Lab. Med., 53 (2) (2022) 161-171.
  • [14] Hataysal E.P., Körez M.K., Yeşildal F., İşman F.K., A comparative evaluation of low-density lipoprotein cholesterol estimation: Machine learning algorithms versus various equations, Clin. Chim. Acta, 557 (2024) 117853.
  • [15] Sezer S., Oter A., Ersoz B., Topcuoglu C., Bulbul H.İ., Sagiroglu S., et al, Explainable artificial intelligence for LDL cholesterol prediction and classification, Clin. Biochem., 130 (2024) 110791.
  • [16] Ellegaard O., Wallin J.A., The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105 (3) (2015) 1809-1831.
  • [17] Maniu I., Maniu G., Totan M., Clinical and Laboratory Characteristics of Pediatric COVID-19 Population—A Bibliometric Analysis, J. Clin. Med., 11 (20) (2022) 5987.
  • [18] Feng X.W., Hadizadeh M., Zheng L.H., Li W.H., A Bibliometric and Visual Analysis of Exercise Intervention Publications for Alzheimer’s Disease (1998–2021), J. Clin. Med., 11 (19) (2022) 5903.
  • [19] Ephraim R.K.D., Ativi E., Ashie S.A., Abaka-Yawson A., Darkwah K.O., Assessment of estimated low-density lipoprotein-cholesterol (LDL-C) equations: a systematic review and meta-analysis, Bull. Natl. Res. Cent., 47 (1) (2023) 71.
  • [20] Aria M., Cuccurullo C., bibliometrix: An R-tool for comprehensive science mapping analysis, J. Informetr., 11 (4) (2017) 959-975.
  • [21] van Eck N.J., Waltman L., Software survey: VOSviewer, a computer program for bibliometric mapping, Scientometrics, 84 (2) (2010) 523-538.
  • [22] Martin S.S., Blaha M.J., Elshazly M.B., Toth P.P., Kwiterovich P.O., Bluementhal R.S., et al, Comparison of a novel method vs the Friedewald equation for estimating low-density lipoprotein cholesterol levels from the standard lipid profile, JAMA, 310 (19) (2013) 2061-2068.
  • [23] Warnick G.R., Knopp R.H., Fitzpatrick V., Branson L., Estimating low-density lipoprotein cholesterol by the Friedewald equation is adequate for classifying patients on the basis of nationally recommended cutpoints, Clin. Chem., 36 (1) (1990) 15-19.
  • [24] Nauck M., Warnick G.R., Rifai N., Methods for measurement of LDL-cholesterol: A critical assessment of direct measurement by homogeneous assays versus calculation, Clin. Chem., 48 (2) (2002) 236-254.
  • [25] McNamara J.R., Jenner J.L., Li Z., Wilson P.W.F., Schaefer E.J., Change in LDL particle size is associated with change in plasma triglyceride concentration, Arterioscler. Thromb. Vasc. Biol., 12 (11) (1992) 1284-1290.
  • [26] Tremblay A.J., Morrissette H., Gagné J.M., Bergeron J., Gagné C., Couture P., Validation of the Friedewald formula for the determination of low-density lipoprotein cholesterol compared with β-quantification in a large population, Clin. Biochem., 37 (9) (2004) 785-790.
  • [27] Frost P.H., Havel R.J., Rationale for use of non-high-density lipoprotein cholesterol rather than low-density lipoprotein cholesterol as a tool for lipoprotein cholesterol screening and assessment of risk and therapy, Am. J. Cardiol., 81 (4 A) (1998) 26B-31B.
  • [28] Chen Y., Zhang X., Pan B., Jin X., Yao H., Chen B., et al, A modified formula for calculating low-density lipoprotein cholesterol values, Lipids Health Dis., 9 (1) (2010) 1-5.
  • [29] Rifai N., Warnick G.R., McNamara J.R., Belcher J.D., Grinstead G.F., Ivan D Frantz J., Measurement of low-density-lipoprotein cholesterol in serum: a status report, Clin. Chem., 38 (1) (1992) 150-160.
  • [30] Domanski M.J., Tian X., Wu C.O., Reis J.P., Dey A.K., Gu Y., et al, Time Course of LDL Cholesterol Exposure and Cardiovascular Disease Event Risk, J. Am. Coll. Cardiol., 76 (13) (2020) 1507-1516.
  • [31] Stanciulescu L.A., Scafa-Udriste A., Dorobantu M., Exploring the Association between Low-Density Lipoprotein Subfractions and Major Adverse Cardiovascular Outcomes—A Comprehensive Review, Int. J. Mo.l Sci. 24 (7) (2023) 6669.
There are 31 citations in total.

Details

Primary Language English
Subjects Medical Biochemistry - Lipids
Journal Section Natural Sciences
Authors

Serkan Bolat 0000-0002-8669-8782

Serra İlayda Yerlitaş 0000-0003-2830-3006

Ahu Cephe 0000-0001-9374-4495

Necla Koçhan 0000-0003-2355-4826

Gözde Ertürk Zararsız 0000-0002-5495-7540

Halef Okan Dogan 0000-0001-8738-0760

Gökmen Zararsız 0000-0001-5801-1835

Publication Date December 30, 2024
Submission Date March 15, 2024
Acceptance Date November 16, 2024
Published in Issue Year 2024Volume: 45 Issue: 4

Cite

APA Bolat, S., Yerlitaş, S. İ., Cephe, A., Koçhan, N., et al. (2024). A Bibliometric and Visual Analysis of Publications on Low-Density Lipoprotein Cholesterol Estimating Equations. Cumhuriyet Science Journal, 45(4), 648-657. https://doi.org/10.17776/csj.1452125
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