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Beyond Cholesterol
Abstract
IT is now well established that hypercholesterolemia is an important cause of coronary heart disease, and clinical intervention studies have demonstrated the therapeutic value of correcting hypercholesterolemia.1 , 2 The National Cholesterol Education Program has been instituted on the basis of these findings.3 From that ambitious program we can anticipate the development of progressively better methods of reducing plasma cholesterol levels and therefore even further decreases in mortality from coronary heart disease. However, no matter how successfully we deal with hypercholesterolemia, coronary heart disease will not disappear, because a high cholesterol level is by no means the only causative factor. At any . . .
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Metadata
- Authors
- Epstein, F. H., Steinberg, D., Parthasarathy, S., Carew, T. E., Khoo, J. C., & Witztum, J. L.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 1989-04-06
- Volume
- 320
- Issue
- 14
- Pages
- 915-924
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W1857052429
- Cited by
- 6,427
- References
- 0
- FWCI
- 315.59
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
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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.