ArticleArchives of dermatological research2024
Representation of diverse skin tones in Nelson's Textbook of Pediatrics.
Article in Archives of dermatological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Strategies to Increase Equitable Access to Penicillin Allergy Delabeling Interactions: A Qualitative Study.JAMA network open · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePhysicians are trained to visually recognize disease using images. Many pediatric dermatologic conditions are initially identified and treated by pediatricians, who need to diagnose on varied skin tones. The objective was to evaluate if figures depicting cutaneous disease in the preeminent pediatrics textbook reflect diverse skin tones.
methodsFigures depicting dermatologic findings in Nelson's Textbook of Pediatrics were assessed using the Fitzpatrick, Massey-Martin, and Color Bar scales. The distribution was compared to the US population using American National Election Survey 2012 data. The three scales were compared for concordance. Statistical analysis included chi square with P < 0.05 significant.
resultsOf 515 figures, 484 were classifiable. Light skin tones were depicted in 453 (93.6%) by Fitzpatrick, 364 (75.2%) by Massey-Martin, and 406 (83.9%) by Color Bar, moderate tones in 92 (19.0%) by Massey-Martin and 53 (11.0%) by Color Bar, and dark tones in 31 (6.4%) by Fitzpatrick, 28 (5.8%) by Massey-Martin, and 25 (5.2%) by Color Bar. The textbook skin tone distribution did not reflect the US population: light 75.2% vs. 63.3%, moderate 19.0% vs. 25.8%, dark 5.8% vs. 11.0%, respectively (P < 0.00001). The three scales yielded consistent proportions for light/moderate vs. dark tones (P = 0.71). Certain conditions were mostly depicted on dark (burns, leprosy, urticaria pigmentosa) or light skin (psoriasis, acne, hemangioma, molluscum, herpes, keloid).
conclusionFigures demonstrating dermatologic manifestations are predominantly depicted on light skin tones, and are not representative of the US population. Certain conditions were more commonly shown on dark or light skin tones, unrelated to epidemiology.
Indexed as
Identifiers
39485519What OpenQuestion holds
Registered trials
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.