Secukinumab sustains improvement in signs and symptoms of psoriatic arthritis: 2 year results from the phase 3 FUTURE 2 study
Bibliographic record
Abstract
Objectives: To assess long-term efficacy, safety and tolerability of secukinumab up to 104 weeks in patients with active PsA. Methods: Patients with PsA (n = 397) were randomized to s.c. secukinumab 300, 150 or 75 mg or placebo at baseline, weeks 1, 2, 3 and 4 and every 4 weeks thereafter. Placebo-treated patients were re-randomized to receive secukinumab 300 or 150 mg s.c. from week 16 (placebo non-responders) or week 24 (placebo responders). Exploratory endpoints at week 104 included 20, 50 and 70% improvement in ACR criteria (ACR20, 50, 70); 75 and 90% improvement in the Psoriasis Area Severity Index, 28-joint DAS with CRP, presence of dactylitis and enthesitis and other patient-reported outcomes. For binary variables, missing values were imputed; continuous variables were analysed by a mixed-effects model for repeated measures. Results: A total of 86/100 (86%), 76/100 (76%) and 65/99 (66%) patients in the secukinumab 300, 150 and 75 mg groups, respectively, completed 104 weeks. At week 104, ACR20 response rates after multiple imputation in the 300, 150 and 75 mg groups were 69.4, 64.4 and 50.3%, respectively. Sustained clinical improvements were observed through week 104 with secukinumab across other clinically important domains of PsA. Responses were sustained through week 104 regardless of prior anti-TNF-α use. Over the entire treatment period the incidence, type and severity of adverse events were consistent with those reported previously. Conclusion: Secukinumab provided sustained improvements in signs and symptoms and multiple clinical domains in patients of active PsA through 2 years of therapy. Secukinumab was well tolerated, with a safety profile consistent with that reported previously. Trial registration: ClinicalTrials.gov (https://clinicaltrials.gov), NCT01752634.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
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".