Evidence map›Paper›PMID 42153079›Full record

ArticleCureus2026

Quantifying Erythema and Skin Tone Variation in Cutaneous Rashes: A Colorimetric Approach.

Kawaiola Cael Aoki, Summer Wong, Simona Bartos, Harvey N Mayrovitz

Abstract read
In one paragraph

Article in Cureus, 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
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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

4 authors.

Kawaiola Cael AokiMedicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Summer WongDermatology, Memorial Healthcare, Pembroke, USA.
Simona BartosDermatology, Imperial Dermatology, Hollywood, USA.
Harvey N MayrovitzMedical Education, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate erythema assessment is essential in dermatologic evaluation, yet detecting erythema in diverse skin tones remains challenging. Traditional visual assessment methods, including the Fitzpatrick Skin Type Classification Scale, have limitations in darker skin tones, where erythema may be underestimated or present differently. Objective colorimetric tools, such as the SkinPhotoTyper and SkinColorCatch from Delfin Technologies Ltd, Kuopio, Finland, provide quantitative measurements of erythema and pigmentation; however, their performance across diverse skin tones remains underexplored.

methodsA cross-sectional study was conducted among 44 patients with rashes attending an outpatient dermatology clinic. Erythema index (EI), melanin index (MI), Individual Typology Angle (ITA), and CIELAB (Commission Internationale de l'Éclairage L*a*b*) values were measured at unaffected (baseline) and affected (rash) sites using calibrated colorimetric devices. Paired t-tests compared baseline and rash measurements, Pearson correlations evaluated relationships among colorimetric parameters, and one-way ANOVA examined differences across Fitzpatrick phototypes, ITA categories, rash locations, and rash types.

resultsAs anticipated, erythema was elevated in rash sites compared to baseline, and higher melanin correlated with lower ITA and lightness. Unexpectedly, baseline erythema did not correlate with rash erythema, and darker ITA categories demonstrated higher erythema levels, suggesting that localized inflammation may not be accurately reflected by baseline skin tone or visual assessment alone.

conclusionThis study supports the use of colorimetric tools across skin tones and highlights their potential in clinical assessment. Future research should focus on larger, longitudinal studies to evaluate changes in erythema and pigmentation during treatment. Such work could improve diagnostic accuracy, personalize treatment, and promote equity in dermatologic care, particularly by improving disease severity assessment, treatment decisions, and monitoring in conditions where erythema is less visually apparent.

Indexed as

colorimetrydermatologydiagnostic accuracyerythemafitzpatrick phototypeindividual typology angle (ita)inflammationmelaninpigmentationskin of color

Identifiers

PMID42153079
PMCPMC13180473

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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 OpenQuestion graph.