Early Versus Late Use of Vedolizumab in Ulcerative Colitis: Clinical, Endoscopic, and Histological Outcomes
Bibliographic record
Abstract
BACKGROUND AND AIMS: We explored the potential for differential efficacy of vedolizumab between early and late ulcerative colitis [UC] with evaluation of clinical, endoscopic, and histological endpoints. METHODS: This was a multicentre, multinational, open-label study in patients with moderately-to-severely active UC, defining early UC by a disease duration <4 years and bio-naïve and late UC by a disease duration > 4 years and additional exposure to tumour necrosis factor antagonists. Patients received standard treatment with intravenous vedolizumab for 52 weeks [300 mg Weeks 0, 2, 6, every 8 weeks thereafter without escalation]. The primary endpoint was corticosteroid-free clinical remission with endoscopic improvement [total Mayo score ≤2 with no subscore >1] at both Weeks 26 and 52. RESULTS: A total of 121 patients were included: in the "early" group, 25/59 [42.4%] achieved the primary endpoint versus 19/62 [30.6%] in the "late" group [p = 0.18]. There were no significant differences between the two groups in endoscopic improvement [Week 26: "early" 32/59 [54.2%] versus "late" 29/62 [46.8%]; p = 0.412; Week 52: 27/59 [45.8%] versus 25/62 [40.3%]; p = 0.546] or in histological remission [Robarts Histopathology Index <3 without neutrophils in the epithelium and lamina propria] [Week 26: 24/59 [40.7%] versus 21/62 [33.9%]; p = 0.439; Week 52: 22/59 [37.3%] versus 22/62 [35.5%]; p = 0.837]. CONCLUSIONS: No significant differences in clinical, endoscopic, and histological outcomes were observed between "early" and "late" disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".