Evidence map›Paper›PMID 42265990›Full record

ReviewDeutsches Arzteblatt international2026

Features of Skin of Color.

Esther von Stebut, Oliver Brandt, Andreas Montag

Abstract readReview
In one paragraph

Review in Deutsches Arzteblatt international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Esther von StebutDepartment of Dermatology and Venereology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
Oliver BrandtDepartment of Dermatology, University Hospital Basel, Basel, Switzerland
Andreas MontagClinic for Dermatology and Venereology, Hamburg, Germany

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysicians need the appropriate experience to be able to diagnose skin diseases reliably in patients with skin of color.

methodsThis narrative review is based on scientific articles and book chapters about skin of color and comparative studies across skin pigmentation types or ethnic groups that were retrieved by a selective search. Publications up to 2026 were included.

resultsSkin of color differs from the lighter skin type that is most common in northern Europe in melanin structure, content, and distribution and in other anatomical respects. Two main aspects require attention in dermatology; the distinction of malignancy from physiological types of hyperpigmentation, and the recognition and treatment of inflammatory skin diseases. Basal cell carcinoma appears to be the most common type of tumor affecting darkly pigmented as well as lighter skin types; squamous-cell carcinoma is more frequent in darker than in lighter skin. Malignant melanoma is reportedly ca. 33 times less common in persons with darker skin, but often in a more advanced stage at the time of diagnosis. Inflammatory skin diseases present differently on darker compared to lighter skin, as erythema is often barely recognizable or invisible. Sequelae such as post-inflammatory hyper-and hypopigmentation, marked scarring, and keloids are often very disturbing for those affected.

conclusionThere have only been a few studies to date on patients with skin of color. Dermatological study findings must be evaluated in an inclusive manner. People with skin of color should also be screened for skin cancer and should protect themselves against the effects of ultraviolet light.

Indexed as

Skin DiseasesSkin PigmentationHumansMelanomaSkin Neoplasms

Identifiers

PMID42265990
PMCPMC13567733

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.