Real‐world clinical, endoscopic and radiographic efficacy of vedolizumab for the treatment of inflammatory bowel disease
Bibliographic record
Abstract
BACKGROUND: Vedolizumab is an α4β7 integrin antagonist with proven efficacy for inducing and maintaining clinical response and remission in Crohn's disease (CD) and ulcerative colitis (UC). AIM: To evaluate clinical and objective response and remission rates with vedolizumab in a large, real world cohort. METHODS: A retrospective cohort study of adult CD and UC patients receiving vedolizumab between 2012 and 2017 was conducted. PRIMARY OUTCOME: clinical or objective response and remission at 3, 6 and 12 months after induction. Clinical remission was defined by complete, steroid-free absence of symptoms. Objective remission was defined by endoscopic mucosal healing or normalisation of radiographic appearance on contrast-enhanced ultrasound or CT/MR enterography. RESULTS: The study included 222 vedolizumab patients (122 CD, 100 UC). In CD, clinical remission at 3, 6 and 12 months was achieved in 19.8% (22/111), 22.1% (21/95) and 22.1% (15/68) of patients, respectively. Objective remission occurred in 11.5% (6/52), 21.2% (14/66), and 18.9% (7/37) of patients at 3, 6 and 12 months, respectively. In UC, clinical remission at 3, 6, and 12 months was 51.0% (51/100), 61.8% (55/89) and 61.9% (39/63), respectively. Endoscopic remission occurred in 27.5% (11/40), 41.0% (16/39) and 47.8% (22/46) of patients at 3, 6 and 12 months, respectively. In multivariable analysis, patients with UC as compared to CD, and those with milder disease activity were more likely to achieve objectively defined remission at both 6 and 12 months. CONCLUSIONS: Vedolizumab was effective for induction and maintenance of clinical and objective remission, both in Crohn's disease and ulcerative colitis.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| 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".