The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Lipoprotein-Associated Phospholipase A2as an Independent Predictor of Coronary Heart Disease
Open accessAbstract
BACKGROUND: Chronic inflammation is believed to increase the risk of coronary events by making atherosclerotic plaques in coronary vessels prone to rupture. We examined blood constituents potentially affected by inflammation as predictors of risk in men with hypercholesterolemia who were enrolled in the West of Scotland Coronary Prevention Study, a trial that evaluated the value of pravastatin in the prevention of coronary events. METHODS: A total of 580 men who had had a coronary event (nonfatal myocardial infarction, death from coronary heart disease, or a revascularization procedure) were each matched for age and smoking status with 2 control subjects (total, 1160) from the same cohort who had not had a coronary event. Lipoprotein-associated phospholipase A2, C-reactive protein, and fibrinogen levels, and the white-cell count were measured at base line, along with other traditional risk factors. The association of these variables with the risk of coronary events was tested in regression models and by dividing the range of values according to quintiles. RESULTS: Levels of C-reactive protein, the white-cell count, and fibrinogen levels were strong predictors of the risk of coronary events; the risk in the highest quintile of the study cohort for each variable was approximately twice that in the lowest quintile. However, the association of these variables with risk was markedly attenuated when age, systolic blood pressure, and lipoprotein levels were included in multivariate models. Levels of lipoprotein-associated phospholipase A2 (platelet-activating factor acetylhydrolase), the expression of which is regulated by mediators of inflammation, had a strong, positive association with risk that was not confounded by other factors. It was associated with almost a doubling of the risk in the highest quintile as compared with the lowest quintile. CONCLUSIONS: Inflammatory markers are predictors of the risk of coronary events, but their predictive ability is attenuated by associations with other coronary risk factors. Elevated levels of lipoprotein-associated phospholipase A2 appear to be a strong risk factor for coronary heart disease, a finding that has implications for atherogenesis and the assessment of risk.
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
Atherosclerosis--an inflammatory disease
Ross, R. (1999) · New England Journal of Medicine · doi:10.1056/nejm199901143400207 · Cited by 21,725
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
Inflammation, aspirin, and the risk of cardiovascular disease in apparently healthy men
Ridker, P. M., Cushman, M., Stampfer, M. J., Tracy, R. P., & Hennekens, C. H. (1997) · New England Journal of Medicine · doi:10.1056/nejm199704033361401 · Cited by 5,504
Yudkin, J. S., Stehouwer, C. D. A., Emeis, J. J., & Coppack, S. W. (1999) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.19.4.972 · Cited by 2,465
Subcutaneous Adipose Tissue Releases Interleukin-6, But Not Tumor Necrosis Factor- , in Vivo
Mohamed-Ali, V. (1997) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.82.12.4196 · Cited by 717
Cited by
Danesh, J., Wheeler, J. G., Hirschfield, G. M., Eda, S., Eiriksdottir, G., Rumley, A., Lowe, G. D. O., Pepys, M. B., & Gudnason, V. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032804 · Cited by 2,953
Self-citationSattar, N., Gaw, A., Scherbakova, O., Ford, I., O’Reilly, D. S. J., Haffner, S. M., Isles, C., Macfarlane, P. W., Packard, C. J., Cobbe, S. M., et al. (2003) · Circulation · doi:10.1161/01.cir.0000080897.52664.94 · Cited by 1,506
Self-citationKhovidhunkit, W., Kim, M.-S., Memon, R. A., Shigenaga, J. K., Moser, A. H., Feingold, K. R., & Grunfeld, C. (2004) · Journal of Lipid Research · doi:10.1194/jlr.r300019-jlr200 · Cited by 1,481
Jellinger, P. S., Handelsman, Y., Rosenblit, P. D., Bloomgarden, Z. T., Fonseca, V. A., Garber, A. J., Grunberger, G., Guerin, C. K., Bell, D. S. H., Mechanick, J. I., et al. (2017) · Endocrine Practice · doi:10.4158/ep171764.appgl · Cited by 1,094
An Updated Review of Lysophosphatidylcholine Metabolism in Human Diseases
Law, S.-H., Chan, M.-L., Marathe, G. K., Parveen, F., Chen, C.-H., & Ke, L.-Y. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20051149 · Cited by 817
Metadata
- Authors
- Packard, C. J., O'Reilly, D. S. J., Caslake, M. J., McMahon, A. D., Ford, I., Cooney, J., Macphee, C. H., Suckling, K. E., Krishna, M., Wilkinson, F. E., Rumley, A., Docherty, G., Burczak, J. D., & Lowe, G. D. O.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2000-10-19
- Volume
- 343
- Issue
- 16
- Pages
- 1148-1155
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2327470041
- Cited by
- 823
- References
- 5
- FWCI
- 39.26
- 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: Lipoprotein-Associated Phospholipase A2as an Independent Predictor of Coronary Heart Disease. https://app.cochat.ai/papers/10.1056/nejm200010193431603
- The paper
- Packard, C. J., O'Reilly, D. S. J., Caslake, M. J., McMahon, A. D., Ford, I., Cooney, J., Macphee, C. H., Suckling, K. E., Krishna, M., Wilkinson, F. E., Rumley, A., Docherty, G., Burczak, J. D., & Lowe, G. D. O. (2000). Lipoprotein-Associated Phospholipase A2as an Independent Predictor of Coronary Heart Disease. New England Journal of Medicine. https://doi.org/10.1056/nejm200010193431603
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.