Secukinumab in United States Biologic-Naïve Patients With Psoriatic Arthritis: Results From the Randomized, Placebo-Controlled CHOICE Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate secukinumab (SEC) 300 mg and 150 mg vs placebo in a United States-only population of biologic-naïve patients with psoriatic arthritis (PsA). METHODS: CHOICE was a double-blind, randomized controlled trial conducted in the US. Biologic-naïve patients with PsA and psoriasis (PsO) were randomized 2:2:1 to SEC 300 mg (n = 103), SEC 150 mg (n = 103), or placebo (n = 52). The primary objective was to show superiority of SEC 300 mg vs placebo in American College of Rheumatology 20% (ACR20) response at week 16. Additional objectives included the effect of SEC on dactylitis, enthesitis, PsO, and safety. RESULTS: = 0.001). SEC 300 mg also led to greater ACR50/70 responses and improvements in other variables vs placebo. Responses were generally sustained over time. Patients with inadequate response to SEC 150 mg at weeks 16, 28, or 40 who received dose escalation to 300 mg experienced improved clinical response after uptitration. The most common adverse events were upper respiratory tract infections and diarrhea. No inflammatory bowel disease was reported or new safety signals observed. CONCLUSION: SEC 300 mg led to rapid and significant improvements over placebo in symptoms of PsA in this heavier population of US-only, biologic-naïve patients. Findings were consistent with previous studies and suggest that SEC 300 mg is a safe and efficacious first-line biologic treatment for patients with PsA. [ClinicalTrials.gov: NCT02798211].
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.006 | 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".