Long-term Efficacy of Vedolizumab for Ulcerative Colitis
Bibliographic record
Abstract
BACKGROUND AND AIMS: The GEMINI long-term safety [LTS] study is a continuing phase 3 trial investigating the safety and efficacy of vedolizumab, an α4β7 integrin antagonist for ulcerative colitis [UC] and Crohn's disease. We provide an interim analysis of efficacy in patients with UC. METHODS: Patients from the C13004 and GEMINI 1 studies and a cohort of vedolizumab-naïve patients received open-label vedolizumab every 4 weeks. Interim data were collected from May 22, 2009 to June 27, 2013. Clinical response and remission, evaluated using partial Mayo scores, and health-related quality of life [HRQL] were assessed for up to 152 weeks of cumulative treatment in the efficacy population. RESULTS: As of June 27, 2013, 63% of the efficacy population [n = 532/845] were continuing treatment. Among patients who responded to vedolizumab induction and had data available, 88% [n = 120/136] were in remission after 104 weeks of exposure (96% [n = 70/73] after 152 weeks). Among patients who withdrew from every-8-week vedolizumab maintenance in GEMINI 1 [n = 32] before week 52, increased dosing to every 4 weeks in GEMINI LTS resulted in response and remission rates of 41% and 28%, respectively, after 52 weeks, an increase from 19% and 6%, respectively, from before the dose increase. Similar benefits were demonstrated regardless of prior tumour necrosis factor-antagonist exposure. Durable benefits on HRQL were also observed. CONCLUSIONS: Patients with UC experienced clinical and HRQL improvements with continued vedolizumab treatment. Increased dosing frequency to every 4 weeks was beneficial in patients who had loss of response to 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".