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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Prevention of Coronary Heart Disease with Pravastatin in Men with Hypercholesterolemia
Shepherd, J., Cobbe, S. M., Ford, I., Isles, C. G., Lorimer, A. R., Macfarlane, P. W., McKillop, J. H., & Packard, C. J. (1995) · New England Journal of Medicine · doi:10.1056/nejm199511163332001 · Cited by 7,449
Brown, G., Albers, J. J., Fisher, L. D., Schaefer, S. M., Lin, J.-T., Kaplan, C., Zhao, X.-Q., Bisson, B. D., Fitzpatrick, V. F., & Dodge, H. T. (1990) · New England Journal of Medicine · doi:10.1056/nejm199011083231901 · Cited by 2,159
Can lifestyle changes reverse coronary heart disease?
Ornish, D., Brown, S. E., Billings, J. H., Scherwitz, L. W., Armstrong, W. T., Ports, T. A., McLanahan, S. M., Kirkeeide, R. L., Gould, K. L., & Brand, R. J. (1990) · The Lancet · doi:10.1016/0140-6736(90)91656-u · Cited by 2,110
Haskell, W. L., Alderman, E. L., Fair, J. M., Maron, D. J., Mackey, S. F., Superko, H. R., Williams, P. T., Johnstone, I. M., Champagne, M. A., & Krauss, R. M. (1994) · Circulation · doi:10.1161/01.cir.89.3.975 · Cited by 884
Self-citationWatts, G. F., Lewis, B., Lewis, E. S., Coltart, D. J., Smith, L. D. R., Swan, A. V., Brunt, J. N. H., & Mann, J. I. (1992) · The Lancet · doi:10.1016/0140-6736(92)90863-x · Cited by 843
Blankenhorn, D. H., Azen, S. P., Kramsch, D. M., Mack, W. J., Cashin-Hemphill, L., Hodis, H. N., DeBoer, L. W. V., Mahrer, P. R., Masteller, M. J., Vailas, L. I., et al. (1993) · Annals of Internal Medicine · doi:10.7326/0003-4819-119-10-199311150-00002 · Cited by 637
Griffin, B. A., Freeman, D. J., Tait, G. W., Thomson, J., Caslake, M. J., Packard, C. J., & Shepherd, J. (1994) · Atherosclerosis · doi:10.1016/0021-9150(94)90129-5 · Cited by 525
Blankenhorn, D. H., Alaupovic, P., Wickham, E., Chin, H. P., & Azen, S. P. (1990) · Circulation · doi:10.1161/01.cir.81.2.470 · Cited by 278
Cited by
Metabolic origins and clinical significance of LDL heterogeneity
Berneis, K. K., & Krauss, R. M. (2002) · Journal of Lipid Research · doi:10.1194/jlr.r200004-jlr200 · Cited by 896
Self-citationBallantyne, C. M., Olsson, A. G., Cook, T. J., Mercuri, M. F., Pedersen, T. R., & Kjekshus, J. (2001) · Circulation · doi:10.1161/hc5001.100624 · Cited by 416
Zambon, A., Hokanson, J. E., Brown, B. G., & Brunzell, J. D. (1999) · Circulation · doi:10.1161/01.cir.99.15.1959 · Cited by 263
Low-Density Lipoprotein Size and Cardiovascular Disease: A Reappraisal
Sacks, F. M., & Campos, H. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030636 · Cited by 241
Systematic review: association of low-density lipoprotein subfractions with cardiovascular outcomes.
Ip, S., Lichtenstein, A. H., Chung, M., Lau, J., & Balk, E. M. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-7-200904070-00007 · Cited by 163
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
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
- The paper
- 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
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.