The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Prevalence and Predictors of Coronary Artery Calcification in Women with Polycystic Ovary Syndrome
Abstract
Polycystic ovary syndrome (PCOS), a common endocrine disorder of reproductive-aged women, is associated with multiple risk factors for coronary heart disease (CHD), such as diabetes mellitus, dyslipidemia, visceral obesity, and hypertension. However, premature coronary atherosclerosis has not been demonstrated in PCOS women. Electron beam computed tomography (EBCT) noninvasively measures coronary artery calcium (CAC), a marker for coronary atherosclerosis. We measured CAC by EBCT in 30- to 45-yr-old premenopausal PCOS women and compared the results to CAC in 1) recruited normal ovulatory volunteers matched for age and weight to the PCOS cohort, and 2) community-dwelling women of similar age in an extant coronary calcium database. Healthy, community-dwelling, ovulatory controls (n = 71) were matched by age and body mass index (BMI) to PCOS women (n = 36). Women with diabetes or known CHD were excluded. Subjects underwent EBCT scanning, oral glucose tolerance testing, and CHD risk factor assessment. PCOS women had significantly higher levels of serum total and low density lipoprotein cholesterol and testosterone levels than matched controls. PCOS and control women were obese and had a greater mean BMI than community-dwelling women (33 kg/m(2) for PCOS vs. 31 kg/m(2) for control; P < 0.001). CAC was more prevalent in PCOS women (39%) than in matched controls (21%; odds ratio, 2.4; P = 0.05) or community-dwelling women (9.9%; odds ratio, 5.9; P < 0.001). BMI, waist circumference, and total and low density lipoprotein cholesterol levels predicted CAC prevalence after adjustment for BMI. CAC is more prevalent in PCOS women than in obese or nonobese women of similar age. PCOS women are at increased risk for atherosclerosis and should be targeted for primary prevention of CHD.
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
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
(1998) · PsycEXTRA Dataset · doi:10.1037/e565682010-001 · Cited by 9,472
Ford, E. S., Giles, W. H., & Dietz, W. H. (2002) · JAMA · doi:10.1001/jama.287.3.356 · Cited by 6,698
Harris, M. I., Flegal, K. M., Cowie, C. C., Eberhardt, M. S., Goldstein, D. E., Little, R. R., Wiedmeyer, H.-M., & Byrd-Holt, D. D. (1998) · Diabetes Care · doi:10.2337/diacare.21.4.518 · Cited by 2,703
CLINICAL ASSESSMENT OF BODY HAIR GROWTH IN WOMEN
FERRIMAN, D., & GALLWEY, J. D. (1961) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-21-11-1440 · Cited by 2,506
Rumberger, J. A., Simons, D. B., Fitzpatrick, L. A., Sheedy, P. F., & Schwartz, R. S. (1995) · Circulation · doi:10.1161/01.cir.92.8.2157 · Cited by 1,459
Self-citationPrevalence of impaired glucose tolerance and diabetes in women with polycystic ovary syndrome.
Ehrmann, D. A., Barnes, R. B., Rosenfield, R. L., Cavaghan, M. K., & Imperial, J. (1999) · Diabetes Care · doi:10.2337/diacare.22.1.141 · Cited by 1,257 · cited 3×
“Sixty percent of women with PCOS in the United States are obese (4), with a central body fat distribution pattern described as visceral obesity.”
BackgroundResultInfluentialSangiorgi, G., Rumberger, J. A., Severson, A., Edwards, W. D., Gregoire, J., Fitzpatrick, L. A., & Schwartz, R. S. (1998) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(97)00443-9 · Cited by 1,010
Self-citationZiccardi, P., Nappo, F., Giugliano, G., Esposito, K., Marfella, R., Cioffi, M., D’Andrea, F., Molinari, A. M., & Giugliano, D. (2002) · Circulation · doi:10.1161/hc0702.104279 · Cited by 994
Wild, S., Pierpoint, T., McKeigue, P., & Jacobs, H. (2000) · Clinical Endocrinology · doi:10.1046/j.1365-2265.2000.01000.x · Cited by 970
Cited by
(2004) · Fertility and Sterility · doi:10.1016/j.fertnstert.2003.10.004 · Cited by 9,050
Cornier, M.-A., Dabelea, D., Hernandez, T. L., Lindstrom, R. C., Steig, A. J., Stob, N. R., Van Pelt, R. E., Wang, H., & Eckel, R. H. (2008) · Endocrine Reviews · doi:10.1210/er.2008-0024 · Cited by 2,162
Fauser, B. C. J. M., Tarlatzis, B. C., Rebar, R. W., Legro, R. S., Balen, A. H., Lobo, R., Carmina, E., Chang, J., Yildiz, B. O., Laven, J. S. E., et al. (2012) · Fertility and Sterility · doi:10.1016/j.fertnstert.2011.09.024 · Cited by 1,976
Self-citationLegro, R. S., Arslanian, S. A., Ehrmann, D. A., Hoeger, K. M., Murad, M. H., Pasquali, R., & Welt, C. K. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-2350 · Cited by 1,919
Azziz, R., Carmina, E., Chen, Z., Dunaif, A., Laven, J. S. E., Legro, R. S., Lizneva, D., Natterson-Horowtiz, B., Teede, H. J., & Yildiz, B. O. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.57 · Cited by 2,005
Metadata
- Authors
- Christian, R. C., Dumesic, D. A., Behrenbeck, T., Oberg, A. L., Sheedy, P. F., & Fitzpatrick, L. A.
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2003-06
- Volume
- 88
- Issue
- 6
- Pages
- 2562-2568
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W1999757775
- Cited by
- 400
- References
- 31
- FWCI
- 21.70
- 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: Prevalence and Predictors of Coronary Artery Calcification in Women with Polycystic Ovary Syndrome. https://app.cochat.ai/papers/10.1210/jc.2003-030334
- The paper
- Christian, R. C., Dumesic, D. A., Behrenbeck, T., Oberg, A. L., Sheedy, P. F., & Fitzpatrick, L. A. (2003). Prevalence and Predictors of Coronary Artery Calcification in Women with Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. https://doi.org/10.1210/jc.2003-030334
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.