Effects of Apremilast on Pruritus and Skin Discomfort/Pain Correlate With Improvements in Quality of Life in Patients With Moderate to Severe Plaque Psoriasis
Bibliographic record
Abstract
Pruritus and skin discomfort/pain negatively impact health-related quality of life (HRQoL). The effects of apremilast, an oral phosphodiesterase inhibitor, on pruritus, skin discomfort/pain, and patient global assessment of psoriasis disease activity (PgAPDA) were assessed in moderate/severe chronic plaque psoriasis patients in the phase 3 ESTEEM trials. Significant improvements in pruritus and skin discomfort/pain observed at Week 2 with apremilast versus placebo (both studies, p < 0.0001) were sustained through Week 32. Among apremilast-treated patients, improvements in pruritus visual analog scale (VAS) scores correlated with Dermatology Life Quality Index scores (rs = 0.55 [Week 16], rs≥0.51 [Week 32]; both studies, p < 0.001). PgAPDA correlated with improvements in pruritus (rs≥0.56 [Week 16]; rs≥0.53 [Week 32]; both studies, p < 0.001) and skin discomfort/pain (rs ≥0.54 [Week 16]; rs≥0.53 [Week 32]; both studies, p < 0.001) VAS scores. Apremilast provided rapid and sustained improvement in pruritus and skin discomfort/pain, symptoms not typically captured in psoriasis assessments (e.g., PASI) that contribute significantly to patients' disease severity and HRQoL perceptions.
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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 | 0.000 | 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 | 0.001 |
| 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".