233 Durability, maintenance and effects of dose reduction following prolonged treatment with baricitinib
Bibliographic record
Abstract
Background: Baricitinib (BARI), an oral, selective Janus kinase (JAK)1/JAK2 inhibitor, is used for the treatment of moderately to severely active rheumatoid arthritis (RA) in adults. It is clinically relevant to understand the durability and maintenance of response to BARI over prolonged use, and the dose tapering strategies available after achieving satisfactory disease control. Methods: Upon completion of a BARI Phase III originating (OS) study (RA-BEGIN, RA-BEAM, RA-BUILD, and RA-BEACON), patients could enter the long-term extension (LTE) study, RA-BEYOND. Here, we review the data on durability and maintenance of response, and dose reduction in the LTE. Durability of response was evaluated as proportion of patients achieving SDAI≤11 in the OS and through 96 weeks in the LTE. Maintenance of response was evaluated as proportion of patients who had responded to BARI at entry into LTE and maintained the response at week 96. Within RA-BEYOND, the patients who received BARI 4mg for ≥15 months and who achieved sustained LDA (CDAI≤10) or remission (CDAI≤2.8) at 2 consecutive visits, were re-randomised in a blinded manner to continue BARI 4mg or step down to 2mg.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".