Real-world Effectiveness of Sarilumab in RA: Results from the Open-label, Prospective, Single-arm Observational PROFILE Study
Bibliographic record
Abstract
INTRODUCTION: The 1-year PROspective sarilumab (preFILled syringe/pen) multinational, obsErvational (PROFILE) study evaluated the real-world effectiveness and safety of sarilumab in patients with moderate-to-severe rheumatoid arthritis (RA). METHODS: Safety endpoints included adverse events (AEs) and lab abnormalities. Effectiveness endpoints included the ACR core set. The primary endpoint was the change from baseline in Clinical Disease Activity Index (CDAI). All statistics are descriptive and p values were nominal. RESULTS: In total, 595 patients were treated, of whom 223 (37.5%) received sarilumab monotherapy and 372 (62.5%) received combination therapy. Upon initiation of sarilumab, an improvement in the mean (SD) CDAI score was observed at week 24 [11.4 (10.3)] and was maintained through week 52 [10.0 (10.5)], resulting in a mean [SD] reduction of -14.9 (12.7) and -14.4 (12.9), respectively. There were consistent improvements in disease activity that were similar for patients on monotherapy vs. combination therapy. An increase in the proportion of patients achieving remission and low disease activity was reported. By week 52, both groups had improved physical function and quality of life. There were no new safety signals. The proportions of any patients reporting a treatment-emergent adverse event (TEAE) or serious treatment-emergent AE (SAE) was 66.2% and 5.9%, respectively, and were similar between both treatment groups. Overall, 15.6% of patients discontinued sarilumab treatment due to TEAEs. The most commonly reported TEAE of interest was neutropenia (14.1%). CONCLUSIONS: In this 1-year, observational real-world study, sarilumab therapy resulted in improved clinical outcomes. The safety profile was consistent with that observed in sarilumab randomized clinical trials. This study was entered on the German website (Paul Ehrlich Institute) on January 11, 2018, with NIS No.: 423.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".