Forty-Eight-Month Monitoring of Disease Activity in Patients with Long-Standing Rheumatoid Arthritis Treated with TNF-α Inhibitors: Time for Clinical Outcome Prediction and Biosimilar vs Biologic Originator Performance
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Long-term treatment of patients with rheumatoid arthritis with tumor necrosis factor-α inhibitors leads to initial changes in disease activity that can predict a late treatment response. This observational and retrospective study aimed to determine when it is possible to foresee the response to therapy in the case of long-standing rheumatoid arthritis comparing also the efficacy of the original biologics with their biosimilars. METHODS: A total of 1598 patients were recruited and treated with the original biologics, adalimumab and etanercept, or with biosimilars. Patients were monitored over a period of 48 months and disease activity scores (28-Joint Disease Activity Score, Simplified Disease Activity Index, and Clinical Disease Activity Index) were measured every 6 months. RESULTS: No differences in disease activity levels were observed in etanercept versus biosimilars (GP2015/SB4) and adalimumab versus biosimilar (GP2017) patient groups. All scores significantly decreased in all treatments during the first 18 months of therapy, and after 24 months reached a minimum that lasted up to 48 months. CONCLUSIONS: We conclude that biosimilars of adalimumab and etanercept have equivalent effectiveness over a long period of time compared to their originator drugs, and also that the levels of disease activity after 6 months of tumor necrosis factor-α inhibitors (originator drugs and biosimilars) might predict the response to therapy at 4 years in patients with long-standing rheumatoid arthritis.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".