The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Lipoprotein ratios: Physiological significance and clinical usefulness in cardiovascular prevention
Open accessAbstract
Low-density lipoprotein (LDL) cholesterol concentration has been the prime index of cardiovascular disease risk and the main target for therapy. However, several lipoprotein ratios or "atherogenic indices" have been defined in an attempt to optimize the predictive capacity of the lipid profile. In this review, we summarize their pathophysiological aspects, and highlight the rationale for using these lipoprotein ratios as cardiovascular risk factors in clinical practice, specifying their cut-off risk levels and a target for lipid-lowering therapy. Total/high-density lipoprotein (HDL) cholesterol and LDL/HDL cholesterol ratios are risk indicators with greater predictive value than isolated parameters used independently, particularly LDL. Future recommendations regarding the diagnosis and treatment of dyslipidemia, including instruments for calculating cardiovascular risk or action guidelines, should include the lipoprotein ratios with greater predictive power which, in view of the evidence-based results, are none other than those which include HDL cholesterol.
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Statins, high-density lipoprotein cholesterol, and regression of coronary atherosclerosis
Nicholls, S. J., Tuzcu, E. M., Sipahi, I., Grasso, A. W., Schoenhagen, P., Hu, T., Wolski, K., Crowe, T., Desai, M. Y., Hazen, S. L., et al. (2007) · JAMA · doi:10.1001/jama.297.5.499 · Cited by 724
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Cholesterol and Coronary Heart Disease: Predicting Risks by Levels and Ratios
Kinosian, B., Glick, H., & Garland, G. (1994) · Annals of Internal Medicine · doi:10.7326/0003-4819-121-9-199411010-00002 · Cited by 519
THOMPSON, A., & DANESH, J. (2006) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2006.01644.x · Cited by 252
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Cited by
Song, F., Poljak, A., Crawford, J., Kochan, N. A., Wen, W., Cameron, B., Lux, O., Brodaty, H., Mather, K., Smythe, G. A., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034078 · Cited by 214
Peña-Jorquera, H., Cid-Jofré, V., Landaeta-Díaz, L., Petermann-Rocha, F., Martorell, M., Zbinden-Foncea, H., Ferrari, G., Jorquera-Aguilera, C., & Cristi-Montero, C. (2023) · Nutrients · doi:10.3390/nu15143244 · Cited by 103
Beyond the protein corona—Lipids matter for biological response of nanocarriers
Müller, J., Prozeller, D., Ghazaryan, A., Kokkinopoulou, M., Mailänder, V., Morsbach, S., & Landfester, K. (2018) · Acta Biomaterialia · doi:10.1016/j.actbio.2018.02.036 · Cited by 79
Calling, S., Johansson, S.-E., Wolff, M., Sundquist, J., & Sundquist, K. (2019) · BMC Cardiovascular Disorders · doi:10.1186/s12872-019-1228-7 · Cited by 60
Lloyd, M., Skelton, D. A., Mead, G. E., Williams, B., & van Wijck, F. (2018) · Brain and Behavior · doi:10.1002/brb3.1000 · Cited by 40
Metadata
- Authors
- Munoz
- Venue
- Vascular Health and Risk Management
- Publisher
- Informa UK Limited
- Published
- 2009-09
- Volume
- 5
- Pages
- 757
- ISSN
- 1176-6344 (ISSN-L)
- 1178-2048
- OpenAlex
- W2166117607
- Cited by
- 760
- References
- 8
- FWCI
- 11.07
- Type
- journal article
- Language
- en
- Open access
- gold
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
