The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Gender differences in symptom presentation associated with coronary heart disease
Open accessAbstract
This study explores gender differences in symptom presentation associated with coronary heart disease (CHD). In this prospective study, nurse data collectors directly observed 550 patients as they presented to the Emergency Department (ED) of Yale-New Haven Hospital. The final sample included 217 patients (41% women) diagnosed with CHD (acute coronary ischemia or myocardial infarction). Chest pain was the most frequently reported symptom in women (70%) and men (71%). Unadjusted analyses revealed that women were more likely than men to present with midback pain (odds ratio [OR] 9.61, 95% confidence interval [CI] 2.10 to 44.11, p = 0.001), nausea and/or vomiting (OR 2.29, 95% CI 1.19 to 4.42, p = 0.012), dyspnea (OR 1.82, 95% CI 1.05 to 3.16, p = 0.032), palpitations (OR 3.42, 95% CI 1.02 to 11.47, p = 0.036), and indigestion (OR 2.13, 95% CI 1.03 to 4.44, p = 0.040). After adjustment for age and diabetes, women were more likely to present with nausea and/or vomiting (OR 2.43, 95% CI 1.23 to 4.79, p = 0.011) and indigestion (OR 2.13, 95% CI 1.10 to 4.53, p = 0.048). Women (30%) and men (29%) were equally likely to present without chest pain, and dyspnea was the most common non-chest pain symptom. In the subgroup of patients without chest pain, unadjusted analyses revealed that women were more likely to report nausea and/or vomiting compared with men (OR 4.40, 95% CI 1.30 to 14.84, p = 0.013). Although we found some significant gender differences in non-chest pain symptoms, we conclude that there were more similarities than differences in symptoms in women and men presenting to the ED with symptoms suggestive of CHD who were later diagnosed with 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
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856
Kudenchuk, P. J., Maynard, C., Martin, J. S., Wirkus, M., Weaver, W. D., & The MITI Project Investigators (1996) · The American Journal of Cardiology · doi:10.1016/s0002-9149(96)00218-4 · Cited by 309
Goldberg, R. J., O’Donnell, C., Yarzebski, J., Bigelow, C., Savageau, J., & Gore, J. M. (1998) · American Heart Journal · doi:10.1053/hj.1998.v136.88874 · Cited by 267
Presentations of Acute Myocardial Infarction in Men and Women
Zucker, D. R., Griffith, J. L., Beshansky, J. R., & Selker, H. P. (1997) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.1997.00011.x · Cited by 124
Cunningham, M. A., Lee, T. H.-Y., Cook, E. F., Brand, D. A., Rouan, G. W., Weisberg, M. C., & Goldman, L. (1989) · Journal of General Internal Medicine · doi:10.1007/bf02599688 · Cited by 105
Cited by
Cardiovascular Disease in Women: Clinical Perspectives
Garcia, M., Mulvagh, S. L., Bairey Merz, C. N., Buring, J. E., & Manson, J. E. (2016) · Circulation Research · doi:10.1161/circresaha.116.307547 · Cited by 1,080
Gender differences in coronary heart disease
Maas, A. H. E. M., & Appelman, Y. E. A. (2010) · Netherlands Heart Journal · doi:10.1007/s12471-010-0841-y · Cited by 983
Women’s Early Warning Symptoms of Acute Myocardial Infarction
McSweeney, J. C., Cody, M., O’Sullivan, P., Elberson, K., Moser, D. K., & Garvin, B. J. (2003) · Circulation · doi:10.1161/01.cir.0000097116.29625.7c · Cited by 437
Swap, C. J. (2005) · JAMA · doi:10.1001/jama.294.20.2623 · Cited by 432
Maserejian, N. N., Link, C. L., Lutfey, K. L., Marceau, L. D., & McKinlay, J. B. (2009) · Journal of Women's Health · doi:10.1089/jwh.2008.1007 · Cited by 116
Metadata
- Authors
- Milner, K. A., Funk, M., Richards, S., Wilmes, R. M., Vaccarino, V., & Krumholz, H. M.
- Venue
- The American Journal of Cardiology
- Publisher
- Elsevier BV
- Published
- 1999-08
- Volume
- 84
- Issue
- 4
- Pages
- 396-399
- ISSN
- 0002-9149 (ISSN-L)
- OpenAlex
- W2033533772
- Cited by
- 278
- References
- 6
- FWCI
- 10.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Gender differences in symptom presentation associated with coronary heart disease. https://app.cochat.ai/papers/10.1016/s0002-9149(99)00322-7
- The paper
- Milner, K. A., Funk, M., Richards, S., Wilmes, R. M., Vaccarino, V., & Krumholz, H. M. (1999). Gender differences in symptom presentation associated with coronary heart disease. The American Journal of Cardiology. https://doi.org/10.1016/s0002-9149(99)00322-7
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.