Long-term safety and efficacy of upadacitinib or adalimumab in patients with rheumatoid arthritis: results through 3 years from the SELECT-COMPARE study
Bibliographic record
Abstract
OBJECTIVES: To assess the long-term safety and efficacy of the Janus kinase inhibitor upadacitinib versus adalimumab over 3 years in the ongoing long-term extension (LTE) of SELECT-COMPARE, a randomised controlled phase 3 trial of patients with active rheumatoid arthritis and inadequate response to methotrexate (MTX). METHODS: Patients on stable background MTX were randomised 2:2:1 to upadacitinib 15 mg, placebo or adalimumab 40 mg. Patients with an insufficient response were switched by week 26 from placebo to upadacitinib, upadacitinib to adalimumab or adalimumab to upadacitinib. Patients who completed the 48-week double-blind period could enter an LTE for up to 10 years. Safety and efficacy results were analysed here through 3 years. Treatment-emergent adverse events (AEs) were summarised based on exposure to upadacitinib and adalimumab. Efficacy was analysed by original randomised groups (non-responder imputation), as well as separately by treatment sequence (as observed). RESULTS: Rates of several AEs were generally comparable between upadacitinib and adalimumab, including AEs leading to discontinuation, serious infections and serious AEs, malignancies, major adverse cardiac events, venous thromboembolism and deaths. Consistent with earlier results, herpes zoster, lymphopaenia, hepatic disorder and CPK elevation were reported at higher rates with upadacitinib versus adalimumab. In terms of efficacy, upadacitinib continued to show numerically better clinical responses than adalimumab over 3 years across all endpoints, including low disease activity and remission. CONCLUSION: The safety profile of UPA 15 mg was consistent with previous study-specific and integrated safety reports. Higher levels of clinical response continued to be observed with upadacitinib versus adalimumab through 3 years of treatment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".