Rapid and Sustained Symptom Relief in Patients With Ulcerative Colitis Treated With Filgotinib: Data From the Phase 2b/3 SELECTION Trial
Bibliographic record
Abstract
INTRODUCTION: Patients with ulcerative colitis (UC) regard rapid onset of action among the most important aspects of their treatment. We used the partial Mayo Clinic Score (pMCS) and component patient-reported subscores to assess the rapidity and sustainability of response to filgotinib, a once-daily, oral Janus kinase 1 preferential inhibitor, in adults with moderately to severely active UC in the phase 2b/3 SELECTION trial. The association between early symptomatic improvements and health-related quality of life (HRQoL) outcomes was also assessed. METHODS: In these post hoc analyses of the double-blinded, randomized, placebo-controlled 58-week SELECTION trial (NCT02914522), rectal bleeding and stool frequency diary data on days 1-15 and pMCS remission and response at multiple time points including weeks 10 and 58 were evaluated. HRQoL was assessed using the Inflammatory Bowel Disease Questionnaire at weeks 10 and 58. RESULTS: Filgotinib 200 mg relative to placebo improved rectal bleeding and stool frequency within 7 days ( P < 0.05). By week 2, greater proportions of filgotinib 200 mg-treated patients than placebo-treated patients achieved pMCS remission (biologic-naive, 15.1% vs 8.0%, P = 0.0410; biologic-experienced, 10.3% vs 4.2%, P = 0.0274). A similar treatment effect was observed at week 58 ( P < 0.0001). Day 7 rectal bleeding and stool frequency subscores were associated with the Mayo Clinic Score response at weeks 10 and 58. Patients in pMCS remission at weeks 10 and 58 had greater improvements in the Inflammatory Bowel Disease Questionnaire score than those not in pMCS remission. DISCUSSION: Filgotinib 200 mg daily resulted in rapid and sustained improvements in both UC symptoms and HRQoL.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".