The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Cardiovascular Disease in Women: Clinical Perspectives
Open accessAbstract
Cardiovascular disease continues to be the leading cause of death among women in the United States, accounting for ≈1 of every 3 female deaths. Sex-specific data focused on cardiovascular disease have been increasing steadily, yet is not routinely collected nor translated into practice. This comprehensive review focuses on novel and unique aspects of cardiovascular health in women and sex differences as they relate to clinical practice in the prevention, diagnosis, and treatment of cardiovascular disease. This review also provides current approaches to the evaluation and treatment of acute coronary syndromes that are more prevalent in women, including myocardial infarction associated with nonobstructive coronary arteries, spontaneous coronary artery dissection, and stress-induced cardiomyopathy (Takotsubo Syndrome). Other cardiovascular disease entities with higher prevalence or unique considerations in women, such as heart failure with preserved ejection fraction, peripheral arterial disease, and abdominal aortic aneurysms, are also briefly reviewed. Finally, recommendations for cardiac rehabilitation are addressed.
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Cited by
Rich-Edwards, J. W., Kaiser, U. B., Chen, G. L., Manson, J. E., & Goldstein, J. M. (2018) · Endocrine Reviews · doi:10.1210/er.2017-00246 · Cited by 273
Self-citationTen things to know about ten cardiovascular disease risk factors
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The impact of ageing and menopause in women with polycystic ovary syndrome
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Metadata
- Authors
- Garcia, M., Mulvagh, S. L., Bairey Merz, C. N., Buring, J. E., & Manson, J. E.
- Venue
- Circulation Research
- Published
- 2016-04-15
- Volume
- 118
- Issue
- 8
- Pages
- 1273-1293
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2338109770
- Cited by
- 1,080
- References
- 48
- FWCI
- 61.67
- Type
- journal article
- Language
- en
- Open access
- green
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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.
