Effectiveness of Dupilumab for the Treatment of Generalized Prurigo Nodularis Phenotype of Adult Atopic Dermatitis
Bibliographic record
Abstract
BACKGROUND: Generalized prurigo nodularis (GPN) is a debilitating, inflammatory skin disease characterized by chronic pruritus, signs of prolonged scratching, and multiple pruriginous papules and nodules. Recent studies identified several forms of GPN as a clinical phenotype of adult atopic dermatitis (AD). OBJECTIVE: The aim of the study was to evaluate the effectiveness of dupilumab (D) in adults affected by persistent AD showing a clinical feature of GPN. METHODS: A retrospective study was performed on adult patients affected with GPN clinical variant of AD, treated with D from July 2018 to March 2019. Atopic dermatitis severity was evaluated using the Eczema Area and Severity Index, visual analog scales ranging from 0 to 10 for pruritus, and Dermatology Life Quality Index. RESULTS: Ninety AD patients (52 males [57.7%]; mean age = 44.6 years; range = 18-66 years) were treated with D. In 9 (10.0%) of 90 cases, GPN pattern was observed. A significant improvement in Eczema Area and Severity Index, Dermatology Life Quality Index, and pruritus visual analog scale score was observed after treatment with D. CONCLUSIONS: Generalized prurigo nodularis is currently considered to be a rather common clinical pattern of adult AD. Dupilumab can be an efficacious treatment of this condition, especially in cases where history of atopy is recorded and conventional treatments are ineffective.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".