The DOI matches its Crossref record; 345 of the 345 references it cites were found in a registry or an index.
Gender differences in cardiovascular disease
Open accessAbstract
Cardiovascular disease (CVD) is one of the leading causes of death worldwide. Although the incidence of CVD in women is usually lower than in men, women have a higher mortality and worse prognosis after acute cardiovascular events. These gender differences exist in various CVDs, including coronary heart disease, stroke, heart failure and aortic diseases. These gender differences have caused widespread concerns and the consideration of gender differences is of great importance for the prevention, diagnosis, treatment and management of CVD. This review aims to provide an overview of gender-related differences in several typical CVDs and to list and to analyze the possible causes associated with the differences, in order to highlight the necessity of taking into account gender differences in determination of the cardiovascular risk profile. Future research can focus on how to define and add gender-related indicators to current risk assessment and management strategies.
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Cited by
A framework for developing sex-specific engineered heart models
Lock, R., Al Asafen, H., Fleischer, S., Tamargo, M., Zhao, Y., Radisic, M., & Vunjak-Novakovic, G. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00381-1 · Cited by 50
Metadata
- Authors
- Gao, Z., Chen, Z., Sun, A., & Deng, X.
- Venue
- Medicine in Novel Technology and Devices
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 4
- Pages
- 100025
- ISSN
- 2590-0935 (ISSN-L)
- OpenAlex
- W2996278891
- Cited by
- 373
- References
- 345
- FWCI
- 21.84
- Type
- journal article
- Language
- en
- Open access
- gold
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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.