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Cited by 162

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Predominance of Dense Low-Density Lipoprotein Particles Predicts Angiographic Benefit of Therapy in the Stanford Coronary Risk Intervention Project

Miller, Bonnie D., Alderman, Edwin L., Haskell, William L., Fair, Joan M., Krauss, Ronald M.·1996·Circulation

Abstract

Background LDL particles differ in size and density. Individuals with LDL profiles that peak in relatively small, dense particles have been reported to be at increased risk of coronary artery disease. We hypothesized that response to coronary disease therapy in such individuals might differ from response in individuals whose profiles peak in larger, more buoyant LDL. We examined this hypothesis in the Stanford Coronary Risk Intervention Project, an angiographic trial that compared multifactorial risk-reduction intervention with the usual care of physicians. Methods and Results For 213 men, a bimodal frequency distribution of peak LDL density (g/mL) determined by analytical ultracentrifugation was used to classify baseline LDL profiles as “buoyant mode” (density ≤1.0378) or “dense mode” (density >1.0378). Coronary disease progression after 4 years was assessed by rates of change (mm/y, negative when arteries narrow) of minimum artery diameter. Rates for buoyant-mode subjects were −0.038±0.007 (mean±SEM) in usual care (n=65) and −0.039±0.010 in intervention (n=56; P =.6). Rates for dense-mode subjects were −0.054±0.012 in usual care (n=51) and −0.008±0.009 in intervention (n=41, P =.007). Lipid changes did not account for this difference in angiographic response. Conclusions Different types of LDL profile may predict different responses to specific therapies, perhaps because metabolic processes determine both LDL profiles and responses to therapies.

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Metadata

Authors
Miller, B. D., Alderman, E. L., Haskell, W. L., Fair, J. M., & Krauss, R. M.
Venue
Circulation
Published
1996-11
Volume
94
Issue
9
Pages
2146-2153
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2038423691
Cited by
162
References
8
FWCI
10.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predominance of Dense Low-Density Lipoprotein Particles Predicts Angiographic Benefit of Therapy in the Stanford Coronary Risk Intervention Project. https://app.cochat.ai/papers/10.1161/01.cir.94.9.2146
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Miller, B. D., Alderman, E. L., Haskell, W. L., Fair, J. M., & Krauss, R. M. (1996). Predominance of Dense Low-Density Lipoprotein Particles Predicts Angiographic Benefit of Therapy in the Stanford Coronary Risk Intervention Project. Circulation. https://doi.org/10.1161/01.cir.94.9.2146

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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.