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Cited by 404

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Relation Between Atherosclerosis and the Neutrophil–Lymphocyte Ratio

Balta, Sevket, Celik, Turgay, Mikhailidis, Dimitri P., Ozturk, Cengiz, Demirkol, Sait, Aparci, Mustafa, Iyisoy, Atila·2016·Clinical and Applied Thrombosis/Hemostasis

Abstract

Inflammation plays an important role in the pathophysiology of vascular disease. In this review, we consider the associations between the neutrophil–lymphocyte ratio (NLR; an indicator of inflammation) and vascular disease and its associated risk factors. The NLR has received attention due to its role as an independent prognostic factor for coronary artery disease. The NLR can also be affected by atherosclerotic risk factors, such as hypercholesterolemia, metabolic syndrome, diabetes, and hypertension. Importantly, it can predict mortality in cardiovascular diseases. There are also reports of a positive correlation between the NLR and commonly used inflammatory markers. Inflammation is important not only in pathophysiology but also clinical outcomes of many diseases. The NLR is a widely available, easily derived, and reproducible marker of inflammation. Unlike many other inflammatory markers, the NLR is inexpensive and readily available and it provides additional risk stratification beyond conventional risk scores.

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Crossref · 10.1177/1076029615569568

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Metadata

Authors
Balta, S., Celik, T., Mikhailidis, D. P., Ozturk, C., Demirkol, S., Aparci, M., & Iyisoy, A.
Venue
Clinical and Applied Thrombosis/Hemostasis
Published
2015-02-09
Volume
22
Issue
5
Pages
405-411
ISSN
  • 1076-0296 (ISSN-L)
  • 1938-2723
OpenAlex
W2069938556
Cited by
404
References
2
FWCI
11.05
Type
journal article
Language
en
Open access
closed

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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.