Improvement of Pruritus and Efficacy in the Early Stage of Therapy with Upadacitinib, Abrocitinib, or Dupilumab in Chinese Patients with Moderate-to-Severe Atopic Dermatitis: Prospective, Cohort, Observational Study
Bibliographic record
Abstract
Abstract: Background: Atopic dermatitis (AD) is an immune system-mediated, complex skin disease. Additional treatment options are needed to provide a better and faster clinical response for patients with AD. Objective: Investigate the difference in efficacy for the rapid relief from pruritus in adults with moderate-to-severe AD. Methods: A 12-week prospective, cohort, observational, single-center study was conducted in adults with moderate-to-severe AD. Patients were assigned randomly (in a 1:1:1 ratio) to receive upadacitinib, abrocitinib, or dupilumab. Pruritus is a key symptom of AD, so the primary endpoint was a reduction in the weekly average worst pruritus Numerical Rating Scale (NRS) score by ≥3 points from baseline at week 4. In addition, we analyzed the response rate at each visit for 75% improvement in Eczema Area and Severity Index (EASI75) and validated Investigator's Global Assessment for Atopic Dermatitis 0/1 (vIGA-AD 0/1). Results: Baseline characteristics was balanced among treatment groups, including measures of disease severity. After 4 weeks of treatment, there was a significant increase in the proportion of patients treated with Janus kinase (JAK) inhibitors who experienced a reduction of ≥3 points in the NRS score compared with those receiving dupilumab. After further treatment, JAK inhibitors resulted in a further reduction of NRS in patients, with a higher percentage of patients achieving EASI75 and vIGA 0/1 (particularly upadacitinib). In addition, no additional serious adverse events were observed during the 12-week follow-up period. Conclusions: JAK inhibitors could be considered as effective treatment options for patients with moderate-to-severe AD, particularly upadacitinib, which has shown the greatest efficacy in reducing itching with a favorable safety profile.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".