Effectiveness of vedolizumab dose escalation in inflammatory bowel disease in a large-scale, Canadian real-world cohort
Bibliographic record
Abstract
Background and Aims: This study explores the effectiveness of vedolizumab dose escalation among patients with ulcerative colitis or Crohn's disease who experienced a suboptimal or loss of clinical response in a Canadian real-world cohort. Methods: Patients with moderately to severely active ulcerative colitis or Crohn's disease treated with vedolizumab were prospectively followed in a patient support program in Canada from 2015 to 2023. In patients who dose escalated to every 4 weeks from every 8 weeks intravenous maintenance dosing, Harvey-Bradshaw Index and Partial Mayo Scores were assessed 12 and 52 weeks after dose escalation. Clinical remission was defined as Harvey-Bradshaw Index < 5 or Partial Mayo Score < 3. Results: This study included 924 patients with Crohn's disease (45% bio-naïve) and 1816 patients with ulcerative colitis (71% bio-naïve). Of patients with Crohn's disease, 39% bio-naïve and 54% bio-experienced dose-escalated within the first 2 years. Of patients with ulcerative colitis, 39% bio-naïve and 50% bio-experienced dose escalated within the first 2 years. For Crohn's disease patients receiving every 8 weekly intravenous maintenance dosing who were not in clinical remission, 50% bio-naïve and 23% bio-experienced patients were in clinical remission 12 weeks after dose escalation, while for ulcerative colitis, 43% bio-naïve and 35% bio-experienced patients were in clinical remission 12 weeks after dose escalation, which was sustained through 52 weeks. Conclusions: For patients who experienced a suboptimal or loss of clinical response to vedolizumab, this study supports the real-world effectiveness of intravenous vedolizumab dose escalation in improving clinical response and clinical remission rates among patients with ulcerative colitis or Crohn's disease.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".