Tofacitinib Efficacy and Safety in Patients With Ankylosing Spondylitis by Prior Biologic <scp>Disease‐Modifying</scp> Antirheumatic Drug Use: A Post Hoc Analysis
Bibliographic record
Abstract
OBJECTIVE: To evaluate the efficacy and safety of tofacitinib in patients with ankylosing spondylitis (AS) by prior biologic disease-modifying antirheumatic drug (bDMARD) use. METHODS: Data from a placebo-controlled, double-blind study of patients with active AS were analyzed. Patients received tofacitinib 5 mg twice daily (BID) or placebo to week 16; all received open-label tofacitinib 5 mg BID to week 48 and were stratified by prior treatment (bDMARD-naive or tumor necrosis factor inhibitor [TNFi]-inadequate responder [IR], including bDMARD-experienced [non-IR]). Disease activity/safety were assessed throughout. RESULTS: ), longer symptom duration (14.4 vs. 13.2 years), and lower concomitant conventional synthetic DMARD use (14.5% vs. 30.9%) than bDMARD-naive patients. At week 16, for most outcomes, tofacitinib efficacy exceeded placebo for both subgroups and was sustained to week 48. At week 16, tofacitinib versus placebo differences were similar between bDMARD-naive and TNFi-IR patients (Assessment in Spondyloarthritis international Society 40 treatment difference [95% confidence interval]: 30.8% [19.1%-42.6%] vs. 19.4% [1.7%-37.0%]). Adverse event (AE) proportions were similar between tofacitinib-treated bDMARD-naive/TNFi-IR patients (77.5%/77.4%) at week 48 with no deaths. A numerically higher proportion of tofacitinib-treated TNFi-IR versus bDMARD-naive patients discontinued study drug (12.9% vs. 3.9%) or dose reduced/temporarily discontinued due to AEs (19.4% vs. 11.8%). CONCLUSION: Tofacitinib efficacy exceeded placebo at week 16 for bDMARD-naive/TNFi-IR patients and was sustained to week 48. The absolute magnitude of responses was generally greater in bDMARD-naive patients versus TNFi-IR patients. More TNFi-IR versus bDMARD-naive patients discontinued or dose reduced/temporarily discontinued tofacitinib due to AEs. Small sample size and sample size differences between subgroups limited the interpretation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.001 | 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) | 0.005 | 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".