Adalimumab for nail psoriasis: Efficacy and safety from the first 26 weeks of a phase 3, randomized, placebo-controlled trial
Bibliographic record
Abstract
BACKGROUND: Previous clinical trials have not evaluated improvement in nail psoriasis as a primary end point. OBJECTIVE: This phase 3 trial evaluated the safety and efficacy of adalimumab in patients with moderate-to-severe fingernail psoriasis and moderate-to-severe plaque psoriasis. METHODS: Patients were randomized 1:1 to 40 mg adalimumab every other week or placebo. The primary efficacy end point was at least 75% improvement in total-fingernail modified Nail Psoriasis Severity Index (NAPSI75) response rate at week 26. Ranked secondary end point scores evaluated at week 26 were total-fingernail NAPSI and modified NAPSI, nail pain, Nail Psoriasis Physical Functioning Severity, Brigham Scalp Nail Inverse Palmo-Plantar Psoriasis Index, and Physician's Global Assessment (fingernail psoriasis). RESULTS: Of the 217 randomized patients (108 received placebo and 109 received adalimumab), 188 (86.6%) completed 26 weeks of treatment (period A) or escaped early to the open-label period. The study met the primary end point (response rate of 3.4% with placebo vs 46.6% with adalimumab [P < .001]) and all ranked secondary end points. The serious adverse event rates (placebo vs adalimumab) in period A were 4.6% versus 7.3%; the serious infections rates were 1.9% versus 3.7%. LIMITATIONS: Patients with less than 5% BSA involvement were not eligible for enrollment. CONCLUSIONS: After 26 weeks of adalimumab treatment, significant improvements were seen in the primary and all ranked secondary end points and in signs and symptoms of moderate-to-severe nail psoriasis versus with placebo and no new safety risks were identified.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".