The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Low-Density Lipoprotein and High-Density Lipoprotein Particle Subclasses Predict Coronary Events and Are Favorably Changed by Gemfibrozil Therapy in the Veterans Affairs High-Density Lipoprotein Intervention Trial
Open accessAbstract
Background— Changes in conventional lipid risk factors with gemfibrozil treatment only partially explain the reductions in coronary heart disease (CHD) events experienced by men in the Veterans Affairs High-Density Lipoprotein Intervention Trial (VA-HIT). We examined whether measurement of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) particle subclasses provides additional information relative to CHD risk reduction. Methods and Results— This is a prospective nested case-control study of 364 men with a new CHD event (nonfatal myocardial infarction or cardiac death) during a 5.1-year (median) follow-up and 697 age-matched controls. Nuclear magnetic resonance (NMR) spectroscopy was used to quantify levels of LDL and HDL particle subclasses and mean particle sizes in plasma obtained at baseline and after 7 months of treatment with gemfibrozil or placebo. Odds ratios for a 1-SD increment of each lipoprotein variable were calculated with adjusted logistic regression models. Gemfibrozil treatment increased LDL size and lowered numbers of LDL particles (−5%) while raising numbers of HDL particles (10%) and small HDL subclass particles (21%). Concentrations of these LDL and HDL particles achieved with gemfibrozil were significant, independent predictors of new CHD events. For total LDL and HDL particles, odds ratios predicting CHD benefit were 1.28 (95% CI, 1.12 to 1.47) and 0.71 (95% CI, 0.61 to 0.81), respectively. Mean LDL and HDL particle sizes were not associated with CHD events. Conclusions— The effects of gemfibrozil on NMR-measured LDL and HDL particle subclasses, which are not reflected by conventional lipoprotein cholesterol measures, help to explain the demonstrated benefit of this therapy in patients with low HDL cholesterol.
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
Rubins, H. B., Robins, S. J., Collins, D., Fye, C. L., Anderson, J. W., Elam, M. B., Faas, F. H., Linares, E., Schaefer, E. J., Schectman, G., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199908053410604 · Cited by 3,439
Self-citationLamarche, B., Tchernof, A., Moorjani, S., Cantin, B., Dagenais, G. R., Lupien, P. J., & Despre´s, J.-P. (1997) · Circulation · doi:10.1161/01.cir.95.1.69 · Cited by 1,077
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
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
Cited by
Statins, high-density lipoprotein cholesterol, and regression of coronary atherosclerosis
Nicholls, S. J., Tuzcu, E. M., Sipahi, I., Grasso, A. W., Schoenhagen, P., Hu, T., Wolski, K., Crowe, T., Desai, M. Y., Hazen, S. L., et al. (2007) · JAMA · doi:10.1001/jama.297.5.499 · Cited by 724
HDL, ABC transporters, and cholesterol efflux: implications for the treatment of atherosclerosis
Tall, A. R., Yvan-Charvet, L., Terasaka, N., Pagler, T., & Wang, N. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.03.001 · Cited by 540
Mora, S., Otvos, J. D., Rifai, N., Rosenson, R. S., Buring, J. E., & Ridker, P. M. (2009) · Circulation · doi:10.1161/circulationaha.108.816181 · Cited by 490
Self-citationFruchart, J.-C., Sacks, F., Hermans, M. P., Assmann, G., Brown, W. V., Ceska, R., Chapman, M. J., Dodson, P. M., Fioretto, P., Ginsberg, H. N., et al. (2008) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2008.10.002 · Cited by 463
Mora, S., Szklo, M., Otvos, J. D., Greenland, P., Psaty, B. M., Goff, D. C., O’Leary, D. H., Saad, M. F., Tsai, M. Y., & Sharrett, A. R. (2007) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2006.05.007 · Cited by 380
Self-citation
Metadata
- Authors
- Otvos, J. D., Collins, D., Freedman, D. S., Shalaurova, I., Schaefer, E. J., McNamara, J. R., Bloomfield, H. E., & Robins, S. J.
- Venue
- Circulation
- Published
- 2006-03-28
- Volume
- 113
- Issue
- 12
- Pages
- 1556-1563
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2092831846
- Cited by
- 547
- References
- 4
- FWCI
- 50.18
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Low-Density Lipoprotein and High-Density Lipoprotein Particle Subclasses Predict Coronary Events and Are Favorably Changed by Gemfibrozil Therapy in the Veterans Affairs High-Density Lipoprotein Intervention Trial. https://app.cochat.ai/papers/10.1161/circulationaha.105.565135
- The paper
- Otvos, J. D., Collins, D., Freedman, D. S., Shalaurova, I., Schaefer, E. J., McNamara, J. R., Bloomfield, H. E., & Robins, S. J. (2006). Low-Density Lipoprotein and High-Density Lipoprotein Particle Subclasses Predict Coronary Events and Are Favorably Changed by Gemfibrozil Therapy in the Veterans Affairs High-Density Lipoprotein Intervention Trial. Circulation. https://doi.org/10.1161/circulationaha.105.565135
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.