The DOI matches its Crossref record; 23 of the 25 references it cites were found in a registry or an index.
Low-Density Lipoprotein, Non-High-Density Lipoprotein, and Apolipoprotein B as Targets of Lipid-Lowering Therapy
Abstract
lthough low-density lipoprotein (LDL) is widely recognized as the major atherogenic lipoprotein and the primary target of lipid-lowering therapy, 1 other lipoprotein species nonetheless appear to be involved in atherogenesis.These include very low-density lipoproteins (VLDL), intermediate-density lipoproteins (IDL), and highdensity lipoproteins (HDL).Both VLDL and IDL are triglyceride-rich lipoproteins (TGRLP).Thus, in the aftermath of unequivocal evidence that LDL lowering reduces risk for major coronary events and stroke, 2 the field of lipid study is turning more of its attention to the other lipoproteins that appear to be involved in atherosclerosis.The recent Adult Treatment Panel III (ATP III) report 1 of the National Cholesterol Education Program has summarized our current understanding of the relationship between other lipoprotein species and risk for coronary heart disease (CHD).
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A related and potential secondary target is an elevated total apoB 158 ; this measure denotes the number of atherogenic lipoproteins in circulation.”
From Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement (2005) · cites this paper as [158]
Citations
Cites
(1997) · Archives of Internal Medicine · doi:10.1001/archinte.1997.00440420033005 · Cited by 3,777
High-density lipoprotein cholesterol and cardiovascular disease. Four prospective American studies.
Gordon, D. J., Probstfield, J. L., Garrison, R. J., Neaton, J. D., Castelli, W. P., Knoke, J. D., Jacobs, D. R., Bangdiwala, S., & Tyroler, H. A. (1989) · Circulation · doi:10.1161/01.cir.79.1.8 · Cited by 3,162
National Cholesterol Education Program
Lenfant, C. (1991) · Archives of Internal Medicine · doi:10.1001/archinte.1991.00400060019005 · Cited by 1,188
Hypertriglyceridemia as a cardiovascular risk factor
Austin, M. A., Hokanson, J. E., & Edwards, K. L. (1998) · The American Journal of Cardiology · doi:10.1016/s0002-9149(98)00031-9 · Cited by 1,066
Hulley, S. B., Rosenman, R. H., Bawol, R. D., & Brand, R. J. (1980) · New England Journal of Medicine · doi:10.1056/nejm198006193022503 · Cited by 702
Non–High-Density Lipoprotein Cholesterol Level as a Predictor of Cardiovascular Disease Mortality
Cui, Y. A., Blumenthal, R. S., Flaws, J. A., Whiteman, M. K., LANGENBERG, P. W., Bachorik, P. S., & Bush, T. L. (2001) · Archives of Internal Medicine · doi:10.1001/archinte.161.11.1413 · Cited by 657
Management of Dyslipidemia in NIDDM
Garg, A., & Grundy, S. M. (1990) · Diabetes Care · doi:10.2337/diacare.13.2.153 · Cited by 260
Self-citationFibrinogen and coronary heart disease--what does it mean?
Assmann, G., Schulte, H., Funke, H., & von Eckardstein, A. (1998) · PubMed · Cited by 256
Cited by
Sorted by citations
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.169404 · Cited by 11,961
Self-citationObesity, Metabolic Syndrome, and Cardiovascular Disease
Grundy, S. M. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0372 · Cited by 1,395
Self-citationWALLDIUS, G., & JUNGNER, I. (2006) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2006.01643.x · Cited by 583
Barter, P. J., Ballantyne, C. M., Carmena, R., Cabezas, M. C., Chapman, M. J., Couture, P., Graaf, J. D., Durrington, P. N., Færgeman, O., Frohlich, J., et al. (2006) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2006.01616.x · Cited by 465
Diagnosis and management of the metabolic syndrome
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Current Opinion in Cardiology · doi:10.1097/01.hco.0000200416.65370.a0 · Cited by 437
Self-citation
Metadata
- Authors
- Grundy, S. M.
- Affiliations
- The University of Texas Southwestern Medical Center (US)
- Corresponding author
- Grundy, Scott M.
- ORCID
- Grundy, Scott M.
- Venue
- Circulation
- Published
- 2002-11-12
- Volume
- 106
- Issue
- 20
- Pages
- 2526-2529
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2135020991
- Cited by
- 309
- References
- 25
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 6 · 2022: 3 · 2021: 8 · 2020: 5 · 2019: 9 · 2018: 4 · 2017: 7 · 2016: 6 · 2015: 14 · 2014: 20 · 2013: 22 · 2012: 20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Cholesterol and Lipid Metabolism
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- low-density lipoprotein, non-HDL cholesterol, apolipoprotein B, lipid-lowering therapy, VLDL, intermediate density lipoprotein, high-density lipoprotein, triglyceride-rich lipoproteins, atherogenesis, coronary heart disease risk, stroke risk, Adult Treatment Panel III
- MeSH terms
- Hypolipidemic Agents, Apolipoproteins B, Cholesterol, Coronary Artery Disease, Coronary Disease, Humans, Lipoproteins, Cholesterol, HDL, Lipoproteins, LDL, Prognosis, Risk Factors, Drug Delivery Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review