Rapid Response to Vedolizumab Therapy in Biologic-Naive Patients With Inflammatory Bowel Diseases
Bibliographic record
Abstract
BACKGROUND & AIMS: Vedolizumab, a humanized monoclonal antibody against α4β7 integrin, is used to treat adults with moderately to severely active ulcerative colitis (UC) and Crohn's disease (CD). We investigated the time course of clinical response to vedolizumab in patients who were and were not previously treated with tumor necrosis factor (TNF) antagonists. METHODS: We performed a post-hoc analysis of data from phase 3, randomized, controlled trials of vedolizumab vs placebo in adult patients with UC (N = 374) or CD (N = 784). We collected data on patient-reported symptoms (rectal bleeding and stool frequency for patients with UC, abdominal pain and loose stool frequency for patients with CD) reported at weeks 2, 4, and 6 of treatment. We reported mean percentage score changes from baseline and proportions of patients who achieved predefined scores. We performed multivariate logistic regression analysis to identify factors associated with an early response (at week 2). RESULTS: In patients with UC (overall or naive to TNF antagonist therapy), a significantly greater percentage of patients given vedolizumab achieved the predefined composite symptom score at weeks 2, 4, and 6 compared to those given placebo. In patients with CD who were naive to TNF antagonists, a significantly greater percentage of patients given vedolizumab achieved the predefined score at weeks 2 and 4 compared to those given placebo. Among patients with UC given vedolizumab, 19.1% (overall) and 22.3% (TNF antagonist naive) achieved a composite score of rectal bleeding of 0 and stool frequency ≤1 at week 2 compared to 10% (overall) and 6.6% (TNF antagonist naive) of those receiving placebo. Among TNF antagonist-naive patients with CD, 15.0% of those given vedolizumab achieved an average daily composite score of abdominal pain ≤1 and loose stool frequency ≤3 at week 2 (compared to 7.9% given placebo), and 23.8% of those given vedolizumab achieved these by week 4 (compared to 10.3% given placebo). CONCLUSIONS: In a post-hoc analysis of data from phase 3 clinical trials, vedolizumab significantly improved patient-reported symptoms of UC and CD as early as week 2 of treatment, continuing through the first 6 weeks-especially when given as first-line biologic therapy. ClinicalTrials.gov no: NCT00783718, NCT00783692, NCT01224171.
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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 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".