ArticleClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2020
Development and Validation of Clinical Scoring Tool to Predict Outcomes of Treatment With Vedolizumab in Patients With Ulcerative Colitis.
Article in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00783718 (A Phase 3, Randomized, Placebo-Controlled, Blinded, Multicenter Study of the Induction and Maintenance of Clinical Response and Remission by MLN0002 in Patients With Moderate to Severe Ulcerative Colitis), which is not on this map. Cited by 45 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Phase 3, Randomized, Placebo-Controlled, Blinded, Multicenter Study of the Induction and Maintenance of Clinical Response and Remission by MLN0002 in Patients With Moderate to Severe Ulcerative Colitis
Who cites it
45 citing papers in PubMed, 78 citations in OpenAlex.
- Decision Support Tool Identifies Ulcerative Colitis Patients Most Likely to Achieve Remission With Vedolizumab vs Adalimumab.Inflammatory bowel diseases · 2022Trial
- Clinical decision support for potentially sedating drugs in palliative care: a mixed-methods pilot study.BMC palliative care · 2026Article
- Targeting Interleukin-7 Signalling in Ulcerative Colitis: Rationale and Emerging Clinical Evidence.Life (Basel, Switzerland) · 2026Review
- Predictive Utility of the Vedolizumab Clinical Decision Support Tool in a Real-World IBD Cohort: Differential Performance in Crohn's Disease and Ulcerative Colitis.Medicina (Kaunas, Lithuania) · 2026Article
- Week 2 remission with vedolizumab as a predictor of long-term remission in patients with ulcerative colitis: a multicenter, retrospective, observational study.Intestinal research · 2026Article
- Development and validation of a model incorporating choroid plexus morphology from brain MRI to predict anti-TNF-α therapy outcomes in Crohn's disease.BMC gastroenterology · 2026Article
- Optimizing vedolizumab therapy in ulcerative colitis: A critical synthesis of trial evidence and the emerging role of artificial intelligence.PLOS digital health · 2026Review
- Factors affecting 1-year persistence with vedolizumab for ulcerative colitis: a multicenter, retrospective real-world study.Intestinal research · 2026Article
- Association of nutritional indices with early clinical remission in patients with moderate-to-severe ulcerative colitis treated with vedolizumab.Therapeutic advances in gastroenterology · 2026Article
- Retrospective Validation of Clinical Decision Support Tools for Predicting Effectiveness Outcomes in Inflammatory Bowel Disease Patients Treated with Vedolizumab.Pharmaceutics · 2025Article
- Development and Validation of a Clinical Decision Support Tool to Predict Disease Progression in Crohn's Disease Treated with Ustekinumab.Journal of clinical medicine · 2025Article
- Prediction of vedolizumab efficacy in ulcerative colitis: a nomogram incorporating pathological feature and serological marker.Clinical and experimental medicine · 2025Article
- Artificial intelligence use for precision medicine in inflammatory bowel disease: a systematic review.American journal of translational research · 2025Review
- Development and Validation of a Scoring System to Predict 2-Year Clinical Remission in Ulcerative Colitis Patients on Vedolizumab.Crohn's & colitis 360 · 2025Article
- Short-term efficacy of vedolizumab in patients with inflammatory bowel disease in real-life settings in Bosnia and Herzegovina.Biomolecules & biomedicine · 2024Observational
- [Old and New Biologics and Small Molecules in Inflammatory Bowel Disease: Anti Integrins].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2024Review
- Predictors of the efficacy of vedolizumab in patients with ulcerative colitis.Nagoya journal of medical science · 2024Observational
- Cytokine Profile in Predicting the Effectiveness of Advanced Therapy for Ulcerative Colitis: A Narrative Review.Biomedicines · 2024Review
- Precision medicine in inflammatory bowel diseases.Intestinal research · 2024Review
- Developing and Externally Validating a Simple Index Based on the Nonlinear Relationship of Fecal Calprotectin and Long-Term Outcomes in Ulcerative Colitis.Journal of inflammation research · 2024Article
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Authors and funding
40 authors at 15 institutions in 2 countries.
Funding
Abstract
BACKGROUND &
aimsWe created and validated a clinical decision support tool (CDST) to predict outcomes of vedolizumab therapy for ulcerative colitis (UC).
methodsWe performed logistic regression analyses of data from the GEMINI 1 trial, from 620 patients with UC who received vedolizumab induction and maintenance therapy (derivation cohort), to identify factors associated with corticosteroid-free remission (full Mayo score of 2 or less, no subscore above 1). We used these factors to develop a model to predict outcomes of treatment, which we called the vedolizumab CDST. We evaluated the correlation between exposure and efficacy. We validated the CDST in using data from 199 patients treated with vedolizumab in routine practice in the United States from May 2014 through December 2017.
resultsAbsence of exposure to a tumor necrosis factor (TNF) antagonist (+3 points), disease duration of 2 y or more (+3 points), baseline endoscopic activity (moderate vs severe) (+2 points), and baseline albumin concentration (+0.65 points per 1 g/L) were independently associated with corticosteroid-free remission during vedolizumab therapy. Patients in the derivation and validation cohorts were assigned to groups of low (CDST score, 26 points or less), intermediate (CDST score, 27-32 points), or high (CDST score, 33 points or more) probability of vedolizumab response. We observed a statistically significant linear relationship between probability group and efficacy (area under the receiver operating characteristic curve, 0.65), as well as drug exposure (P < .001) in the derivation cohort. In the validation cohort, a cutoff value of 26 points identified patients who did not respond to vedolizumab with high sensitivity (93%); only the low and intermediate probability groups benefited from reducing intervals of vedolizumab administration due to lack of response (P = .02). The vedolizumab CDST did not identify patients with corticosteroid-free remission during TNF antagonist therapy.
conclusionsWe used data from a trial of patients with UC to develop a scoring system, called the CDST, which identified patients most likely to enter corticosteroid-free remission during vedolizumab therapy, but not anti-TNF therapy. We validated the vedolizumab CDST in a separate cohort of patients in clinical practice. The CDST identified patients most likely to benefited from reducing intervals of vedolizumab administration due to lack of initial response. ClinicalTrials.gov no: NCT00783718.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.