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Cited by 319

The DOI matches its Crossref record; 230 of the 230 references it cites were found in a registry or an index.

Physiology of Hyperuricemia and Urate-Lowering Treatments

Open access
Benn, Caroline L., Dua, Pinky, Gurrell, Rachel, Loudon, Peter, Pike, Andrew, Storer, R. Ian, Vangjeli, Ciara·2018·Frontiers in Medicine

Abstract

Gout is the most common form of inflammatory arthritis and is a multifactorial disease typically characterized by hyperuricemia and monosodium urate crystal deposition predominantly in, but not limited to, the joints and the urinary tract. The prevalence of gout and hyperuricemia has increased in developed countries over the past two decades and research into the area has become progressively more active. We review the current field of knowledge with emphasis on active areas of hyperuricemia research including the underlying physiology, genetics and epidemiology, with a focus on studies which suggest association of hyperuricemia with common comorbidities including cardiovascular disease, renal insufficiency, metabolic syndrome and diabetes. Finally, we discuss current therapies and emerging drug discovery efforts aimed at delivering an optimized clinical treatment strategy.

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Registry

Crossref · 10.3389/fmed.2018.00160

Cites

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Metadata

Authors
Benn, C. L., Dua, P., Gurrell, R., Loudon, P., Pike, A., Storer, R. I., & Vangjeli, C.
Venue
Frontiers in Medicine
Published
2018-05-31
Volume
5
Pages
160-160
ISSN
2296-858X (ISSN-L)
OpenAlex
W2805641932
Cited by
319
References
230
FWCI
17.80
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Physiology of Hyperuricemia and Urate-Lowering Treatments. https://app.cochat.ai/papers/10.3389/fmed.2018.00160
The paper
Benn, C. L., Dua, P., Gurrell, R., Loudon, P., Pike, A., Storer, R. I., & Vangjeli, C. (2018). Physiology of Hyperuricemia and Urate-Lowering Treatments. Frontiers in Medicine. https://doi.org/10.3389/fmed.2018.00160

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.