Assessment and Monitoring Challenges Among Patients With Moderate-to-Severe Atopic Dermatitis Across Fitzpatrick Skin Types: A Photographic Review and Case Series
Bibliographic record
Abstract
Atopic dermatitis (AD) is a common, chronic, inflammatory skin condition that affects people of all ages, races, and ethnicities. The condition is heterogeneous in both clinical presentation (phenotype) and underlying pathobiology (endotype). Atopic dermatitis diagnosis, assessment, and monitoring rely on clinical evaluation because there are no definitive biomarkers for AD. This review addresses variation in the clinical presentation of AD across the spectrum of Fitzpatrick skin types, with an emphasis on clinical evaluation challenges in patients with skin of color. We present photographs from phase 3 clinical trials that evaluated the safety and efficacy of upadacitinib among patients with moderate-to-severe AD and demonstrate the challenges in evaluating the clinical signs of AD (erythema and excoriation in patients with dark skin types and lichenification in those with light skin types) by illustrating the changes in clinical signs and symptoms that can be achieved with targeted systemic therapies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".