Real-World Retention and Clinical Effectiveness of Secukinumab for Axial Spondyloarthritis: Results From the Canadian Spondyloarthritis Research Network
Bibliographic record
Abstract
OBJECTIVE: Axial spondyloarthritis (axSpA) is a chronic, immune-mediated, inflammatory condition consisting of 2 clinical subsets: nonradiographic axSpA and ankylosing spondylitis, the latter having an estimated prevalence of 0.2% to 1% in Canada. Secukinumab (SEC) received Health Canada approval in 2016 for the treatment of adults with axSpA who have responded inadequately to conventional treatment, and has demonstrated efficacy and safety through extensive clinical trials. However, there is limited evidence on its real-world use in Canada. The objective of this study was to use the Canadian Spondyloarthritis (CanSpA) Research Network to describe real-world retention and effectiveness of SEC in the Canadian axSpA population. METHODS: This was an observational cohort study of Canadian patients with axSpA aged 18 to 65 years within the CanSpA network who had received treatment with SEC. Patients were indexed on the first date of SEC initiation. Retention and clinical effectiveness were assessed at 12 months postindex. Clinical effectiveness was measured as the proportion in remission and change in disease activity using multiple clinical indices. RESULTS: A total of 146 patients were included. Overall retention was estimated at 62.9%. Low disease activity (ie, Bath Ankylosing Spondylitis Disease Activity Index < 4) was achieved in 29.2% of patients, and 2% had achieved remission based on the Ankylosing Spondylitis Disease Activity Score. Bath Ankylosing Spondylitis Metrology Index scores improved by more than 60% from baseline to 12 months. CONCLUSION: The results of this real-world study of Canadian patients with axSpA, one of the first of its kind, support the effectiveness of SEC for treatment of axSpA. The CanSpA network presents an opportunity to continue building and improving the real-world evidence base for treatment of Canadian patients with spondyloarthritis.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".