Long-term Efficacy of Vedolizumab for Crohn’s Disease
Bibliographic record
Abstract
BACKGROUND AND AIMS: Vedolizumab is a gut-selective α4β7 integrin antagonist therapy for ulcerative colitis and Crohn's disease. The GEMINI long-term safety [LTS] trial is an ongoing open-label study investigating the safety of vedolizumab. We present interim exploratory analyses of efficacy in patients with Crohn's disease. METHODS: Patients from the C13004, GEMINI 2 and GEMINI 3 studies and vedolizumab-naïve patients could enrol in GEMINI LTS and received vedolizumab every 4 weeks. Data were collected from May 22, 2009 to June 27, 2013. Outcomes of clinical response and remission, defined by the Harvey-Bradshaw Index, and health-related quality of life [HRQL] were assessed for up to 152 weeks of treatment in the efficacy population. RESULTS: Among patients with response at week 6 in GEMINI 2 who received vedolizumab continuously, 83% [n=100/120] and 89% [n=62/70] of patients with available data were in remission after 104 and 152 weeks, respectively. Increased dosing frequency from every 8 weeks [GEMINI 2] to every 4 weeks [GEMINI LTS] improved outcomes in patients who had withdrawn early from GEMINI 2, with 47% [n=27/57] experiencing clinical response and 32% [n=18/57] in remission at week 52 of GEMINI LTS [up from 39% and 4% before the dose increase]. Similar improvements were observed regardless of prior tumour necrosis factor [TNF] antagonist exposure. Long-term benefits of HRQL were also observed. CONCLUSIONS: The clinical benefits of vedolizumab continued with long-term treatment regardless of prior TNF antagonist exposure. Increased dosing frequency might improve outcomes in patients who lose response to conventional 8-weekly dosing.
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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 | 0.002 |
| 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 | 0.000 |
| 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".