Triglycerides and small dense LDL: the twin Achilles heels of the Friedewald formula
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For subjects with TG in excess of 4.5 mmol/l (400 mg/dl; n = 947), LDL-C values were not calculated because the Friedewald equation cannot be reliably used with such high TG values.
“However, for subjects with TG in excess of 4.5 mmol/l (400 mg/dl; n = 947), LDL-C values were not calculated, as the Friedewald equation cannot be reliably used with such high TG values (22).”
From The N342S MYLIP polymorphism is associated with high total cholesterol and increased LDL receptor degradation in humans (2011) · cites this paper as [22]
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- Authors
- Sniderman, A. D., Blank, D., Zakarian, R., Bergeron, J., & Frohlich, J.
- Affiliations
- McGill University Health Centre (CA)
- Université Laval (CA)
- University of British Columbia (CA)
- Corresponding author
- Sniderman, Allan D.
- Venue
- Clinical Biochemistry
- Publisher
- Elsevier BV
- Published
- 2003-10
- Volume
- 36
- Issue
- 7
- Pages
- 499-504
- ISSN
- 0009-9120 (ISSN-L)
- OpenAlex
- W2020541043
- Cited by
- 100
- References
- 0
- Citations by year
- 2024: 2 · 2023: 3 · 2022: 3 · 2021: 1 · 2020: 5 · 2019: 1 · 2018: 9 · 2017: 6 · 2016: 2 · 2015: 5 · 2014: 7 · 2013: 10 · 2012: 6
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Biochemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Keywords
- triglycerides, small dense LDL, Friedewald formula, dyslipidemia, type 2 diabetes, diabetic retinopathy, microRNA, miR-146a, miR-21, miR-34a, serum biomarkers, disease severity, proliferative diabetic retinopathy, non-proliferative diabetic retinopathy
- MeSH terms
- Apolipoproteins B, Blood Chemical Analysis, Humans, Cholesterol, LDL, Triglycerides, Cholesterol, VLDL
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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.
Statistics and arithmetic are recomputed, not judged.
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