The DOI matches its OpenAlex record; 1 of the 1 references it cites were found in a registry or an index.
Rosacea. Pathophysiology and treatment
Abstract
WHAT FOLLOWS cannot possibly live up to the title of this editorial, since such is the state of our current understanding of rosacea. My temerity will further extend the reader beyond the short list of real facts (a lapidarist would have no difficulty describing what wereallyknow about rosacea) to considertheoriesabout how rosacea might develop. For me, the most compelling view is a synthesis of selected insights of Ryan, Marks, and several Scandinavian workers, especially Sobye and Haxthausen. However, to directly pursue these theories would be premature without a brief note on what rosacea really is (and is not).Rosacea is not a disease. Rosacea is a typology, namely, a cluster of persons with a characteristic combination of cutaneous stigmata. Given the typologic model, the epicenter of rosacea is occupied by a few unfortunate patients with flushing, erythema, telangiectasia, facial edema, papules, pustules, ocular lesions, and rhinophyma.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Interleukin-8 as a macrophage-derived mediator of angiogenesis
Koch, A. E., Polverini, P. J., Kunkel, S. L., Harlow, L. A., DiPietro, L. A., Elner, V. M., Elner, S. G., & Strieter, R. M. (1992) · Science · doi:10.1126/science.1281554 · Cited by 2,135
Cited by
Rosacea: I. Etiology, pathogenesis, and subtype classification
Crawford, G. H., Pelle, M. T., & James, W. D. (2004) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2004.03.030 · Cited by 532
Ros‐NET: A deep convolutional neural network for automatic identification of rosacea lesions
Binol, H., Plotner, A., Sopkovich, J., Kaffenberger, B., Niazi, M. K. K., & Gurcan, M. N. (2020) · Skin Research and Technology · doi:10.1111/srt.12817 · Cited by 56
Metadata
- Authors
- Wilkin, J. K.
- Venue
- Archives of Dermatology
- Publisher
- American Medical Association
- Published
- 1994-03-01
- Volume
- 130
- Issue
- 3
- Pages
- 359-362
- ISSN
- 0003-987X (ISSN-L)
- OpenAlex
- W2067243142
- Cited by
- 208
- References
- 1
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rosacea. Pathophysiology and treatment. https://app.cochat.ai/papers/10.1001/archderm.130.3.359
- The paper
- Wilkin, J. K. (1994). Rosacea. Pathophysiology and treatment. Archives of Dermatology. https://doi.org/10.1001/archderm.130.3.359
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.