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Reliability of the Ichthyosis Scoring System in Individuals With Skin of Color

2025· article· en· W4412121530 on OpenAlexaff
Angela Luo, Lisa M. Arkin, Sarah Asch, Latanya Benjamin, Anna L. Bruckner, M Cossio, Lucia Z. Diaz, Evelyn Lilly, Erin F. Mathes, Caroline A. Nelson, Elena Pope, Sarika Ramachandran, Dawn H. Siegel, Joyce Teng, Yunshan Xu, Yanhong Deng, Amy S. Paller, Keith A. Choate

Bibliographic record

VenueJAMA Dermatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSkin Diseases and Diabetes
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineIntraclass correlationIchthyosisInter-rater reliabilityDermatologyReferralDyskeratosisHyperkeratosisPsychometricsClinical psychologyFamily medicinePsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Importance: The Ichthyosis Scoring System (ISS) is a reliable instrument for assessing ichthyosis severity. The ISS's performance in individuals with skin of color (ie, Fitzpatrick IV-VI skin types) remains unknown because it was initially assessed in individuals with Fitzpatrick I to III skin types. Objective: To assess the reliability of the ISS in individuals with Fitzpatrick IV to VI skin types. Design, Setting, and Participants: In this cross-sectional study, 14 dermatologists used the ISS to rate 94 test photographs, 47 from individuals with Fitzpatrick I to III skin types and 47 from individuals with Fitzpatrick IV to VI skin types. The professional photographs were obtained from the National Registry for Ichthyosis and Related Disorders, which enrolls participants with ichthyosis from referral centers, patient advocacy groups, and self-referral worldwide. Test photographs represented individuals of all phototypes with ichthyosis of all severities. Due to limited comprehensive, high-quality photography among individuals with Fitzpatrick IV to VI skin types, 4 body sites were chosen: upper back, legs, upper arm, and dorsal feet. From August to December 2023, dermatologists independently scored the same test photographs and were blinded to photographic groupings. Data were analyzed in March 2024. Main Outcomes and Measures: Interrater reliabilities were determined using interrater intraclass correlation coefficients (ICCs) using the two-way random effects model. Results: Of the 61 individuals with ichthyosis represented in the 94 photographs, 28 (46%) were younger than 18 years and 33 (54%) were 18 years and older; 32 (52%) were female and 29 (48%) were male; and 1 (2%) was American Indian, 16 (26%) were Black, 6 (10%) were Hispanic, 1 (2%) was Pacific Islander, 5 (8%) were South Asian, 31 (51%) were White, and 1 (2%) was White and Hispanic. For individuals with Fitzpatrick I to III skin types, scale and erythema ICCs ranged from 0.97 (95% CI, 0.93-0.99) to 0.99 (95% CI, 0.98-1.00) and 0.91 (95% CI, 0.79-0.97) to 0.95 (95% CI, 0.89-0.99), respectively. For individuals with Fitzpatrick IV to VI skin types, scale and erythema ICCs ranged from 0.97 (95% CI, 0.93-0.99) to 0.99 (95% CI, 0.98-1.00) and 0.90 (95% CI, 0.80-0.96) to 0.94 (95% CI, 0.86-0.98), respectively. The overlap of ICC confidence intervals demonstrates ISS reliability across phototypes. Conclusions and Relevance: This cross-sectional study shows that the ISS can be applied across phototypes to measure ichthyosis severity. Further studies using full-body photographs would further bolster the ISS's reliability to assess global ichthyosis severity. These findings set the stage for increasing diversity in ichthyosis clinical trials.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.185

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.244
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2025
Admission routes1
Has abstractyes

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