Long‐term efficacy of certolizumab pegol for the treatment of plaque psoriasis: 3‐year results from two randomized phase III trials (CIMPASI‐1 and CIMPASI‐2)
Bibliographic record
Abstract
BACKGROUND: Certolizumab pegol (CZP) is an Fc-free, PEGylated anti-tumour necrosis factor biologic. OBJECTIVES: To report the 3-year efficacy of CZP in plaque psoriasis, pooled from the CIMPASI-1 (NCT02326298) and CIMPASI-2 (NCT02326272) phase III trials. METHODS: Adults with moderate-to-severe psoriasis for ≥ 6 months were randomized 2 : 2 : 1 to CZP 200 mg, CZP 400 mg or placebo, every 2 weeks (Q2W) for up to 48 weeks. Patients entering the open-label period (weeks 48-144) from double-blinded CZP initially received CZP 200 mg Q2W. Patients not achieving ≥ 50% improvement in Psoriasis Area and Severity Index (PASI 50) at week 16 entered an open-label CZP 400 mg Q2W escape arm (weeks 16-144). Dose adjustments based on PASI response were permitted during open-label treatment. Outcomes included PASI 75, PASI 90 and Physician's Global Assessment (PGA) 0/1 responder rates, based on a logistic regression model (missing data imputed using Markov Chain Monte Carlo methodology). RESULTS: In total, 186 patients were randomized to CZP 200 mg Q2W and 175 to CZP 400 mg Q2W. At week 48, PASI 75/90 was achieved by 72·7%/51·3% of patients randomized to CZP 200 mg and 84·4%/62·7% randomized to CZP 400 mg. Patients entering the open-label period at week 48, from blinded treatment, received CZP 200 mg Q2W. At week 144, PASI 75/90 was achieved by 70·6%/48·7% patients randomized to CZP 200 mg and 72·9%/42·7% randomized to CZP 400 mg. At week 16, 72 placebo-randomized patients entered the CZP 400 mg Q2W escape arm; 75.7%/58.5% achieved PASI 75/90 at week 144. CONCLUSIONS: Both CZP 200 mg and 400 mg Q2W demonstrated sustained, durable efficacy, with numerically higher responses for some outcomes with 400 mg Q2W.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".