The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Prospective Study of Triglyceride Level, Low-Density Lipoprotein Particle Diameter, and Risk of Myocardial Infarction
Abstract
OBJECTIVE: To test whether a predominance of small, dense low-density lipoprotein (LDL) particles and elevated triglyceride levels are independent risk factors for myocardial infarction (MI). DESIGN: Nested case-control study with prospectively collected samples. SETTING: Prospective cohort study. PARTICIPANTS: Blood samples were collected at baseline (85% nonfasting samples) from 14916 men aged 40 to 84 years in the Physicians' Health Study. MAIN OUTCOME MEASUREMENTS: Myocardial infarction diagnosed during 7 years of follow-up. RESULTS: Cases (n=266) had a significantly smaller LDL diameter (mean [SD], 25.6 [0.9] nm) than did controls (n=308) matched on age and smoking (mean [SD], 25.9 [8] nm; P<.001). Cases also had higher median triglyceride levels (1.90 vs 1.49 mmol/L [168 vs 132 mg/dL]; P<.001). The LDL diameter had a high inverse correlation with triglyceride level (r=-0.71), and a high direct correlation with high-density lipoprotein cholesterol (HDL-C) level (r=0.60). We observed a significant multiplicative interaction between triglyceride and total cholesterol (TC) levels (P=.01). After simultaneous adjustment for lipids and a variety of coronary risk factors, LDL particle diameter was no longer a statistically significant risk indicator, with a relative risk (RR) of 1.09 (95% confidence interval [CI], 0.85-1.40) per 0.8-nm decrease. However, triglyceride level remained significant with an RR of 1.40 (95% CI, 1.10-1.77) per 1.13 mmol/L (100-mg/dL) increase. The association between triglyceride level and MI risk appeared linear across the distribution; men in the highest quintile had a risk about 2.5 times that of those in the lowest quintile. The TC level, but not HDL-C level, also remained significant, with an RR of 1.80 (95% CI, 1.44-2.26) per 1.03-mmol/L (40-mg/dL) increase. CONCLUSIONS: These findings indicate that nonfasting triglyceride levels appear to be a strong and independent predictor of future risk of MI, particularly when the total cholesterol level is also elevated. In contrast, LDL particle diameter is associated with risk of MI, but not after adjustment for triglyceride level. Increased triglyceride level, small LDL particle diameter, and decreased HDL-C levels appear to reflect underlying metabolic perturbations with adverse consequences for risk of MI; elevated triglyceride levels may help identify high-risk individuals.
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
A Receptor-Mediated Pathway for Cholesterol Homeostasis
Brown, M. S., & Goldstein, J. L. (1986) · Science · doi:10.1126/science.3513311 · Cited by 5,703
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
A prospective study of cholesterol, apolipoproteins, and the risk of myocardial infarction.
Stampfer, M. J., Sacks, F. M., Salvini, S., Willett, W. C., & Hennekens, C. H. (1991) · New England Journal of Medicine · doi:10.1056/nejm199108083250601 · Cited by 1,163
Self-citationAssmann, G., & Schulte, H. (1992) · The American Journal of Cardiology · doi:10.1016/0002-9149(92)90550-i · Cited by 872
Cited by
de Lorgeril, M., Salen, P., Martin, J.-L., Monjaud, I., Delaye, J., & Mamelle, N. (1999) · Circulation · doi:10.1161/01.cir.99.6.779 · Cited by 2,910
Nordestgaard, B. G., Benn, M., Schnohr, P., & Tybjærg-Hansen, A. (2007) · JAMA · doi:10.1001/jama.298.3.299 · Cited by 2,058
Fasting compared with nonfasting triglycerides and risk of cardiovascular events in women
Bansal, S., Buring, J. E., Rifai, N., Mora, S., Sacks, F. M., & Ridker, P. M. (2007) · JAMA · doi:10.1001/jama.298.3.309 · Cited by 1,619
Sarwar, N., Danesh, J., Eiriksdottir, G., Sigurdsson, G., Wareham, N., Bingham, S., Boekholdt, S. M., Khaw, K.-T., & Gudnason, V. (2007) · Circulation · doi:10.1161/circulationaha.106.637793 · Cited by 1,408
Dietary fats and cardiovascular disease: a presidential advisory from the American Heart Association
Sacks, F. M., Lichtenstein, A. H., Wu, J. H. Y., Appel, L. J., Creager, M. A., Kris-Etherton, P. M., Miller, M., Rimm, E. B., Rudel, L. L., Robinson, J. G., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000510 · Cited by 1,386
Metadata
- Authors
- Stampfer, M. J.
- Venue
- JAMA: The Journal of the American Medical Association
- Publisher
- American Medical Association (AMA)
- Published
- 1996-09-18
- Volume
- 276
- Issue
- 11
- Pages
- 882
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2119236594
- Cited by
- 1,079
- References
- 4
- FWCI
- 67.93
- 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
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.