Summary of Research: Efficacy and Safety of Delgocitinib Cream in Adults with Moderate to Severe Chronic Hand Eczema (DELTA 1 and DELTA 2): Results from Multicentre, Randomised, Controlled, Double-Blind, Phase 3 Trials
Bibliographic record
Abstract
This is a summary of the original article: "Efficacy and safety of delgocitinib cream in adults with moderate to severe chronic hand eczema (DELTA 1 and DELTA 2): results from multicentre, randomised, controlled, double-blind, phase 3 trials". Chronic Hand Eczema (CHE) is a heterogeneous, multifactorial, fluctuating, and chronic inflammatory disease associated with pain, itch, and a significant quality-of-life burden for patients. The phase 3 DELTA 1 and DELTA 2 trials assessed the efficacy and safety of twice-daily delgocitinib cream 20 mg/g, a pan-Janus kinase inhibitor, compared with cream vehicle in adults with moderate to severe CHE. Delgocitinib cream demonstrated superior efficacy versus cream vehicle in outcomes reported by clinicians (e.g., Investigator's Global Assessment for CHE [IGA-CHE] treatment success [IGA-CHE 0 (clear)/1 (almost clear)] and ≥75/90% improvement in Hand Eczema Severity Index) and patients (e.g., itch, pain, and Dermatology Life Quality Index). Delgocitinib cream exhibited a favorable safety profile in both trials. These results suggest that delgocitinib cream is a treatment option for the relief of clinical signs and symptoms among patients with moderate to severe CHE for whom topical corticosteroids are inadequate or inappropriate.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".