Cited by 73Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and LipoproteinsCholesterol and Lipid Metabolism

Small Dense Low-Density Lipoprotein Cholesterol Predicts Atherosclerotic Cardiovascular Disease in the Copenhagen General Population Study

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Balling, Mie, Nordestgaard, Børge G., Langsted, Anne, Varbo, Anette, Kamstrup, Pia R., Afzal, Shoaib·2020·Journal of the American College of Cardiology

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Crossref · 10.1016/j.jacc.2020.03.072

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5 of 5 references verified0 citation errors · 0 not checkable

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Authors
Balling, M., Nordestgaard, B. G., Langsted, A., Varbo, A., Kamstrup, P. R., & Afzal, S.
Affiliations
  • University of Copenhagen (DK)
  • Copenhagen University Hospital (DK)
Corresponding author
Afzal, Shoaib
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2020-06
Volume
75
Issue
22
Pages
2873-2875
ISSN
0735-1097 (ISSN-L)
OpenAlex
W3032060301
Cited by
73
References
5
Citations by year
2026: 11 · 2025: 12 · 2024: 15 · 2023: 10 · 2022: 16 · 2021: 8 · 2020: 1
FWCI
8.01
Type
journal article
Language
en
Open access
Locations
  • Journal of the American College of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
Funders
  • Hjerteforeningen (18-R124-A8511-22089)
  • Novo Nordisk Fonden (NNF18OC0052893)
Topics
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
Keywords
small dense LDL, atherosclerotic cardiovascular disease, cardiovascular risk prediction, LDL particle size, atherogenic potential, Copenhagen General Population Study
MeSH terms
Cardiovascular Diseases, Denmark, Follow-Up Studies, Humans, Cholesterol, LDL, Population Surveillance, Risk Factors, Biomarkers, Atherosclerosis

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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.

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