A Retrospective Study on the Effectiveness of Ixekizumab After Treatment With Secukinumab for Patients With Active Psoriatic Arthritis
Bibliographic record
Abstract
Objectives: This study aims to evaluate clinical responses in patients with active psoriatic arthritis who, despite secukinumab 300 mg subcutaneous monthly, are switched to ixekizumab 80 mg subcutaneous every four weeks. Methods: We conducted a chart review of adult patients with psoriatic arthritis treated at one clinical center. We identified all patients with active inflammatory arthritis who were switched from secukinumab to ixekizumab. Baseline demographics such as disease duration, age, gender, number of previous DMARDs, and previous time on secukinumab were collected. We collected clinical outcome data such as tender and swollen joint count, enthesitis based on SPARCC score, dactylitis, psoriasis severity, CRP, and BASDAI if axial involvement was present. Results: Eight of 10 patients were included in the analysis. Most patients were female, average age 62 years old, and had been on secukinumab for an average of 79 weeks. Twelve weeks following switch to ixekizumab, 6/8 had improvement in tender joint count, 6/8 improved in swollen joint count, 2/2 had resolution of enthesitis, 4/4 had resolution of dactylitis, 5/6 had improvement in psoriasis severity, 1 patient had absolute improvement of 2.3 in BASDAI, and 7/8 had improvement in the CRP level. Conclusions: Patients with active psoriatic arthritis despite treatment with secukinumab may still have a clinical response following treatment with another anti-IL17 agent. Larger studies will be required to confirm this finding, and studies which emphasize dactylitis and enthesitis outcomes will be needed as most patients did not have activity in these domains.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".