The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Risk factors for extracranial carotid artery atherosclerosis.
Abstract
We related risk factors, cardiovascular symptoms, and coronary status to the extent of extracranial carotid atherosclerosis as measured by B-mode ultrasonography in 376 volunteers hospitalized for elective coronary angiography. In a first analysis, we correlated risk factors and cardiovascular symptoms with carotid atherosclerosis. Univariate analysis showed that relations between many continuous risk factors and carotid atherosclerosis were graded and consistent for men and women. Multivariate analysis identified 6 significant variables (age, hypertension, pack-years smoked, and inversely, plasma concentrations of high density lipoprotein cholesterol and uric acid, and Framingham Type A score) that together accounted for 35% of the variability in extent of carotid atherosclerosis. In a second multivariate analysis, addition of coronary status (presence or absence of coronary stenosis as evaluated by coronary angiography) to the roster of candidate independent variables produced a new equation that accounted for an additional 5% of the variability in carotid atherosclerosis extent. Although much of the variability in extent of carotid atherosclerosis remains unexplained, these data define an association between coronary and carotid atherosclerosis that depends partly on shared exposure of both arteries to the same risk factors. They are also consistent with the concept that as yet undiscovered risk factors and/or genetic (e.g., arterial wall) factors common to both arterial beds also contribute to the relation between coronary and carotid atherosclerosis in human beings.
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
Risk factors and atherosclerotic lesions. A review of autopsy studies
Solberg, L. A., & Strong, J. P. (1983) · Arteriosclerosis: An Official Journal of the American Heart Association, Inc. · doi:10.1161/01.atv.3.3.187 · Cited by 371
Cited by
Chambless, L. E., Heiss, G., Folsom, A. R., Rosamond, W., Szklo, M., Sharrett, A. R., & Clegg, L. X. (1997) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009302 · Cited by 1,990
Howard, G., Sharrett, A. R., Heiss, G., Evans, G. W., Chambless, L. E., Riley, W. A., & Burke, G. L. (1993) · Stroke · doi:10.1161/01.str.24.9.1297 · Cited by 724
Self-citationSALONEN, R., & SALONEN, J. T. (1991) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.1991.tb00336.x · Cited by 566
Brott, T. G., Halperin, J. L., Abbara, S., Bacharach, J. M., Barr, J. D., Bush, R. L., Cates, C. U., Creager, M. A., Fowler, S. B., Friday, G., et al. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.11.006 · Cited by 447
Postprandial triglyceridemia and carotid atherosclerosis in middle-aged subjects
Ryu, J. E., Howard, G., Craven, T. E., Bond, M. G., Hagaman, A. P., & Crouse, J. R. (1992) · Stroke · doi:10.1161/01.str.23.6.823 · Cited by 169
Self-citation
Metadata
- Authors
- Crouse, J. R., Toole, J. F., McKinney, W. M., Dignan, M. B., Howard, G., Kahl, F. R., McMahan, M. R., & Harpold, G. H.
- Venue
- Stroke
- Published
- 1987-11
- Volume
- 18
- Issue
- 6
- Pages
- 990-996
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W1972165634
- Cited by
- 304
- References
- 1
- FWCI
- 13.05
- 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: Risk factors for extracranial carotid artery atherosclerosis. https://app.cochat.ai/papers/10.1161/01.str.18.6.990
- The paper
- Crouse, J. R., Toole, J. F., McKinney, W. M., Dignan, M. B., Howard, G., Kahl, F. R., McMahan, M. R., & Harpold, G. H. (1987). Risk factors for extracranial carotid artery atherosclerosis. Stroke. https://doi.org/10.1161/01.str.18.6.990
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.