Safety of efalizumab in adults with chronic moderate to severe plaque psoriasis: A phase IIIb, randomized, controlled trial
Bibliographic record
Abstract
BACKGROUND: To provide safety data for efalizumab, a recombinant humanized monoclonal IgG(1) antibody, in adults with chronic plaque psoriasis. METHODS: A 12-week, Phase IIIb, randomized, double-blind, parallel-group, placebo-controlled trial. At 58 study sites in the USA and Canada, 686 patients with moderate to severe chronic plaque psoriasis received an initial conditioning dose of efalizumab 0.7 mg/kg subcutaneously (SC) followed by either 11 weekly doses of efalizumab 1 mg/kg SC or matching placebo. Main outcome measures were safety and tolerability outcomes (primary) and efficacy outcomes (secondary). RESULTS: During 12 weeks of therapy with efalizumab or placebo, the incidence of clinical adverse events was 82.2% and 72.9%, respectively; the incidence of serious adverse events was 1.8% and 3.4%, respectively; and the incidence of nonserious adverse events leading to withdrawal was 1.8% and 1.7%, respectively. In the efalizumab group, there were no clinically significant changes in vital signs or laboratory parameters and no evidence of end-organ toxicities. A significantly higher proportion of patients receiving efalizumab than those receiving placebo achieved > or = 75% improvement in the Psoriasis Area and Severity Index (PASI) (P < 0.001), > or = 50% improvement in PASI (P < 0.001), and a static Physician's Global Assessment rating of Minimal or Clear (P < 0.001). The mean improvement in the Psoriasis Symptom Assessment was significantly greater in the efalizumab group (P < 0.001). CONCLUSIONS: Efalizumab treatment SC for 12 weeks was safe, well tolerated, and effective in patients with moderate to severe chronic plaque psoriasis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".