P736 Factors associated with partial Mayo Clinic Score over time in patients with Ulcerative Colitis treated with filgotinib in the phase 2b/3 SELECTION trial
Bibliographic record
Abstract
Abstract Background Responses to ulcerative colitis (UC) treatments vary considerably between individuals, and factors associated with a stable response are not well defined. Filgotinib (FIL) is an oral, Janus kinase 1 preferential inhibitor approved in the EU and the UK as a UC therapy. We aimed to identify factors associated with partial Mayo Clinic Score (pMCS) over time in FIL-treated patients with UC in the phase 2b/3 SELECTION trial (NCT02914522). Methods In SELECTION, adults with moderately to severely active UC received FIL 200 mg (FIL200), FIL 100 mg (FIL100) or placebo once daily for 11 weeks in Induction (IND) Study A (biologic-naive) or B (biologic-experienced).1 Patients in clinical remission or with a Mayo Clinic Score (MCS) response at week 10 could enter the 47-week Maintenance (MNT) Study. To evaluate factors associated with pMCS during MNT this post hoc analysis used a mixed model for repeated measures (MMRM), which included fixed effects of time, IND dose (FIL200 or FIL100), the factor of interest and pMCS at IND baseline, and correlated patient residual errors. For categorical factors, the least-squares mean difference with 95% confidence interval (CI) and the overall type III p value were calculated. For continuous factors, the difference in pMCS for a one-unit change in the factor of interest was estimated with 95% CI. Multiplicity adjustment of p values was not performed. Results Data from 371 patients treated with FIL200 (n=199) or FIL100 (n=172) were included. Previous use of at least one biologic therapy or a tumour necrosis factor antagonist/vedolizumab, and week 10 MCS subscores of ≤1 were associated with higher pMCS over time than their respective reference categories (p<0.0001; Table 1). Over time, pMCS was 0.45 units higher in patients assigned to IND Study A versus IND Study B (p=0.0002). Week 10 endoscopic score ≤1, Geboes histologic remission and Inflammatory Bowel Disease Questionnaire total score >170 were associated with lower pMCS over time than their respective reference categories (p≤0.0001). Change from baseline in pMCS at week 10 and faecal calprotectin levels at week 10 were positively associated with pMCS over time (p<0.0001; Table 2). Patient-reported outcome (PRO) measures at week 10 were negatively associated with pMCS over time (p≤0.0001). Conclusion History of previous biologic therapy, and week 10 assessments (endoscopic, clinical, biomarker and PRO) were among the factors influencing pMCS over the course of 1 year of FIL treatment, consistent with previous findings from trajectory modeling.2 Further MMRM analyses may help to identify patients who benefit most from FIL treatment. 1. Feagan BG et al. Lancet 2021;397:2372–84. 2. Schreiber S et al. MP443 [abstract]. UEGJ 2022;10:459.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".