Inhibition of Interleukin-17 in Patients with Oligoarticular Psoriatic Arthritis
Bibliographic record
Abstract
INTRODUCTION: This study evaluated the efficacy of the interleukin-17A inhibitor secukinumab in patients with oligoarticular psoriatic arthritis (PsA). METHODS: A total of 84 patients with oligoarticular PsA, defined as 1-4 tender joints and 1-4 swollen joints, were pooled from the FUTURE 2-5 and MAXIMISE trials (NCT01752634, NCT01989468, NCT02294227, NCT02404350, and NCT02721966). Patients were grouped by treatment received at week 12 (secukinumab 300 mg, secukinumab 150 mg, or placebo) and week 52 (any secukinumab 300 mg or any secukinumab 150 mg). Efficacy was assessed by the proportion of patients achieving selected clinical outcomes. The predictors of Disease Activity index for Psoriatic Arthritis (DAPSA) responses at weeks 12 and 52 were identified by logistic regression analysis. RESULTS: Secukinumab treatment resulted in greater achievement of DAPSA-based low disease activity (LDA), DAPSA-based remission (REM), DAPSA50, and DAPSA75 than placebo at week 12, with improvements sustained or further increased through week 52. LDA or REM was achieved at week 52 by more than 90% of patients who received either secukinumab dose, although secukinumab 300 mg resulted in the highest achievement of the stringent DAPSA75 and DAPSA REM outcomes. At week 12, younger age was associated with DAPSA LDA or REM and DAPSA50, while lower baseline swollen joint count was associated with DAPSA REM. No predictors were identified at week 52. The safety profile was consistent with the full study populations. CONCLUSION: Secukinumab demonstrated efficacy vs placebo across several outcome measures in patients with oligoarticular PsA at week 12, with sustained or improved responses through week 52.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".