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Cited by 823

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Noninvasive Assessment of Arterial Stiffness and Risk of Atherosclerotic Events

Oliver, James J., Webb, David J.·2003·Arteriosclerosis, Thrombosis, and Vascular Biology

Abstract

Investigation of arterial stiffness, especially of the large arteries, has gathered pace in recent years with the development of readily available noninvasive assessment techniques. These include the measurement of pulse wave velocity, the use of ultrasound to relate the change in diameter or area of an artery to distending pressure, and analysis of arterial waveforms obtained by applanation tonometry. Here, we describe each of these techniques and their limitations and discuss how the measured parameters relate to established cardiovascular risk factors and clinical outcome. We also consider which techniques might be most appropriate for wider clinical application. Finally, the effects of current and future cardiovascular drugs on arterial stiffness are also discussed, as is the relationship between arterial elasticity and endothelial function.

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Crossref · 10.1161/01.atv.0000060460.52916.d6

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Metadata

Authors
Oliver, J. J., & Webb, D. J.
Venue
Arteriosclerosis, Thrombosis, and Vascular Biology
Published
2003-04
Volume
23
Issue
4
Pages
554-566
ISSN
  • 1079-5642 (ISSN-L)
  • 1524-4636
OpenAlex
W2086334936
Cited by
823
References
15
FWCI
22.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Noninvasive Assessment of Arterial Stiffness and Risk of Atherosclerotic Events. https://app.cochat.ai/papers/10.1161/01.atv.0000060460.52916.d6
The paper
Oliver, J. J., & Webb, D. J. (2003). Noninvasive Assessment of Arterial Stiffness and Risk of Atherosclerotic Events. Arteriosclerosis, Thrombosis, and Vascular Biology. https://doi.org/10.1161/01.atv.0000060460.52916.d6

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.