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Cited by 1,311

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Cholesterol in the Prediction of Atherosclerotic Disease: New Perspectives Based on the Framingham Study

KANNEL, WILLIAM B., CASTELLI, WILLIAM P., GORDON, TAVIA·1979·Annals of Internal Medicine

Abstract

Prospective data at Framingham and elsewhere have shown conclusively that risk of coronary heart disease in persons younger than age 50 is strikingly related to the serum total cholesterol level. Within so-called normal limits risk has been found to mount over a five-fold range. The impact has been found to be augmented by other risk factors. The contribution of the serum total cholesterol to risk has also been found to be determined by its partition in the various lipoprotein fractions. A relatively large amount of cholesterol in the low-density lipoprotein fraction is atherogenic, whereas that in the high-density fraction appears protective. The independent contribution of very-low density lipoprotein and its triglyceride or cholesterol content has, on the other hand, not been established. The previous position that virtually all of the lipid information pertaining to coronary heart disease resided in the serum total cholesterol must be accordingly modified.

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Crossref · 10.7326/0003-4819-90-1-85

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Metadata

Authors
KANNEL, W. B., CASTELLI, W. P., & GORDON, T.
Venue
Annals of Internal Medicine
Published
1979-01-01
Volume
90
Issue
1
Pages
85-91
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W2009789367
Cited by
1,311
References
60
FWCI
73.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cholesterol in the Prediction of Atherosclerotic Disease: New Perspectives Based on the Framingham Study. https://app.cochat.ai/papers/10.7326/0003-4819-90-1-85
The paper
KANNEL, W. B., CASTELLI, W. P., & GORDON, T. (1979). Cholesterol in the Prediction of Atherosclerotic Disease: New Perspectives Based on the Framingham Study. Annals of Internal Medicine. https://doi.org/10.7326/0003-4819-90-1-85

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.