Rocatinlimab Improves Patient-Reported Outcomes in Adults with Moderate-to-Severe Atopic Dermatitis: Results from a Double-Blind Placebo-Controlled Phase 2b Study
Bibliographic record
Abstract
INTRODUCTION: In adults with moderate-to-severe atopic dermatitis (AD), rocatinlimab demonstrated significant and progressive improvement in clinical measures of disease severity compared with placebo. This post hoc analysis of a phase 2b study was undertaken to understand the disease burden and to assess the impact of rocatinlimab on patient-reported outcomes (PROs). METHODS: This analysis used baseline data from a multicenter, randomized, double-blind study of adults with moderate-to-severe AD, who completed a Worst Pruritus numerical rating scale (NRS), Sleep Disturbance NRS, and the Dermatology Life Quality Index (DLQI). A mixed model for repeated measures was used to estimate changes in PRO scores from baseline; scores were also compared with clinically meaningful change benchmarks. RESULTS: The analysis included 267 subjects, mean (SD) age 37.9 (14.7) years, 40.8% female; 55.1% grade 3 and 44.9% grade 4 Investigator Global Assessment for AD. Mean (SD) scores were: Worst Pruritus NRS 7.5 (1.9), Sleep Disturbance NRS 5.5 (2.9), DLQI total score 12.6 (7.1). Worst Pruritus and Sleep NRS scores had low positive correlations with SCORing AD (SCORAD) score (r = 0.44, r = 0.45 respectively) and negligible correlations with Eczema Area and Severity Index (EASI) score and area affected (r < 0.30). DLQI score varied by sex, study country, race, age, longer disease duration, disease severity (EASI and SCORAD), presence of asthma, and Worst Pruritus NRS, Sleep disturbance NRS, and DLQI scores. Rocatinlimab showed benefit on all three PROs, with significant improvements from baseline at the end of the double-blind period (week 18) and active treatment extension (week 36). Benefits were maintained over 20 weeks' post-treatment follow-up. The benefit of rocatinlimab treatment on PROs is rapid and maintained for at least 20 weeks following treatment completion. CONCLUSION: This analysis demonstrates the importance of characterizing the burden of moderate-to-severe AD from the patient's perspective, alongside clinical disease measures, to develop a fuller picture of treatment benefit. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT03703102.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".