The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.
Epidemiology of Peripheral Artery Disease and Polyvascular Disease
Open accessAbstract
Atherosclerotic lower extremity peripheral artery disease (PAD) is increasingly recognized as an important cause of cardiovascular morbidity and mortality that affects >230 million people worldwide. Traditional cardiovascular risk factors, including advanced age, smoking, and diabetes, are strongly linked to an increase risk of PAD. Although PAD has been historically underappreciated compared with coronary artery disease and stroke, greater attention on PAD in recent years has led to important new epidemiological insights in the areas of thrombosis, inflammation, dyslipidemia, and microvascular disease. In addition, the concept of polyvascular disease, or clinically evident atherosclerosis in multiple arterial beds, is increasingly identified as a particularly malignant cardiovascular disease worthy of special clinical attention and further study. It is noteworthy that PAD may increase the risk of adverse outcomes in similar or even greater magnitude than coronary disease or stroke. In this review, we highlight important new advances in the epidemiology of PAD with a particular focus on polyvascular disease, emerging biomarkers, and differential risk pathways for PAD compared with other atherosclerotic diseases.
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Cites
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Cited by
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Metadata
- Authors
- Aday, A. W., & Matsushita, K.
- Venue
- Circulation Research
- Published
- 2021-06-11
- Volume
- 128
- Issue
- 12
- Pages
- 1818-1832
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W3167366374
- Cited by
- 599
- References
- 130
- FWCI
- 71.18
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
