Effect of Certolizumab Pegol on Multiple Facets of Psoriatic Arthritis as Reported by Patients: 24‐Week Patient‐Reported Outcome Results of a Phase III, Multicenter Study
Bibliographic record
Abstract
OBJECTIVE: To examine the effect of certolizumab pegol (CZP) on patient-reported outcomes (PROs) in psoriatic arthritis (PsA) patients with and without prior tumor necrosis factor (TNF) inhibitor exposure. METHODS: The ongoing phase III RAPID-PsA trial was double blind and placebo controlled to week 24. Patients were randomized 1:1:1 to placebo every 2 weeks or CZP 400 mg at weeks 0, 2, and 4, followed by either CZP 200 mg every 2 weeks or CZP 400 mg every 4 weeks. PRO measures evaluated were the Health Assessment Questionnaire (HAQ) disability index (DI), health status (measured by the Short Form 36 [SF-36] health survey), Psoriatic Arthritis Quality of Life (PsAQOL), Fatigue Assessment Scale, patient assessment of pain (visual analog scale), and Dermatology Life Quality Index (DLQI). Post hoc analyses of PROs in patients with and without prior TNF inhibitor exposure were conducted. Change from baseline for all PROs was analyzed for the randomized population using analysis of covariance with last observation carried forward imputation. RESULTS: A total of 409 patients were randomized. Twenty percent had received a prior TNF inhibitor. Baseline demographics were similar between the treatment groups. At week 24, clinically meaningful differences in HAQ DI, SF-36, PsAQOL, fatigue, pain, and DLQI were observed in both CZP arms versus placebo (P < 0.001), irrespective of prior TNF inhibitor exposure. More CZP-treated patients reached SF-36 general population norms than placebo-treated patients. CONCLUSION: Both CZP dosing schedules provided rapid improvements in PROs across multiple disease aspects in patients with PsA. The benefits of CZP treatment for health-related quality of life were seen across generic, PsA-specific, and dermatology-specific measures and were observed in patients regardless of prior TNF inhibitor exposure.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".