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Cited by 486

The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.

Hidradenitis suppurativa

Goldburg, Samantha R., Strober, Bruce E., Payette, Michael J.·2020·Journal of the American Academy of Dermatology

Abstract

Hidradenitis suppurativa (HS) is an inflammatory disorder characterized by chronic deep-seated nodules, abscesses, fistulae, sinus tracts and scars in the axilla, inguinal area, sub-mammary folds and perianal area. This disfiguring condition is accompanied by pain, embarrassment and a significantly decreased quality of life. Although the mechanism of HS has not been entirely elucidated, lesion formation is believed to center around follicular hyperkeratosis within the pilosebaceous-apocrine unit. Recent research has provided new insight into the role of cytokines in the pathogenesis of HS, helping to close some existing knowledge gaps in the development of this condition. The first article in this continuing medical education series reviews HS epidemiology, clinical presentation, and classification. We also provide an update on the most recent understanding of HS pathogenesis, including the central role of inflammatory cytokines as well as other contributing factors such as genetics, hormones, and pathogenic microorganisms.

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Crossref · 10.1016/j.jaad.2019.08.090

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Metadata

Authors
Goldburg, S. R., Strober, B. E., & Payette, M. J.
Venue
Journal of the American Academy of Dermatology
Publisher
Elsevier BV
Published
2020-05
Volume
82
Issue
5
Pages
1045-1058
ISSN
0190-9622 (ISSN-L)
OpenAlex
W2979544789
Cited by
486
References
106
FWCI
23.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hidradenitis suppurativa. https://app.cochat.ai/papers/10.1016/j.jaad.2019.08.090
The paper
Goldburg, S. R., Strober, B. E., & Payette, M. J. (2020). Hidradenitis suppurativa. Journal of the American Academy of Dermatology. https://doi.org/10.1016/j.jaad.2019.08.090

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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.