Effectiveness and safety of certolizumab pegol in rheumatoid arthritis patients in Canadian practice: 2-year results from the observational FαsT-CAN study
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to assess the real-world effectiveness and safety of certolizumab pegol (CZP) in rheumatoid arthritis (RA) patients, and the impact on patients' productivity, pain, and fatigue, in Canadian practice. METHODS: FαsT-CAN, a 2-year prospective, observational study, evaluated CZP use in Canadian adults with moderate to severe, active RA. The primary objective was to assess the proportion of patients achieving 28-joint Disease Activity Scores (DAS28) <2.6 at Week 104. Secondary and additional endpoints assessed the improvements in Patients' Assessment of Arthritis Pain (PtAAP), fatigue, Health Assessment Questionnaire-Disability Index (HAQ-DI), and the proportion of patients achieving minimal clinically important differences (MCID) in HAQ-DI. Validated arthritis-specific Work Productivity Surveys (WPS-RA) assessed the RA-associated impact on productivity. Incidence of CZP-related treatment-emergent adverse events (TEAEs) was reported for patients receiving ⩾1 dose of CZP (safety set). RESULTS: The full analysis set (baseline DAS28 ⩾ 2.6, ⩾1 dose of CZP and ⩾1 valid post-baseline DAS28 measurement) included 451 of the 546 patients recruited into the study; a total of 229/451 (50.8%) patients completed Week 104. At Week 104, 90/451 (20.0%) patients achieved DAS28 < 2.6. Rapid improvements in disease activity, pain, and fatigue were observed. At Week 104, 66.2% of patients achieved HAQ-DI MCID. Patients employed at Week 104, reported reduced absenteeism, and improved productivity. CZP-related TEAEs were consistent with the known CZP safety profile. CONCLUSIONS: CZP was an effective RA treatment in Canadian practice, and no new CZP-related safety signals were identified. The improvements in household and workplace productivity are the first observations in a real-world Canadian setting.
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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 | 0.001 |
| 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".