ArticleHeliyon2023
Prediction of anti-TNF therapy failure in ulcerative colitis patients by ensemble machine learning: A prospective study.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Prognostic Prediction Models for Ulcerative Colitis: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Recovery of response and long-term outcomes following loss of response and dose escalation of subcutaneous infliximab: a post hoc analysis of the LIBERTY-CD & LIBERTY-UC trials.Inflammatory bowel diseases · 2026Trial
- A Modelling Approach to Resolve Gene Temporal Dynamics in Intestinal Inflammation.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Artificial Intelligence and Machine Learning in Rheumatology and Systemic Inflammatory Diseases: From Pattern Recognition to Signal Analysis and Clinical Decision Support.Journal of clinical medicine · 2026Review
- BRD4 contributes to the cytokine-induced acquisition of an IL-13RA2-positive inflammatory fibroblast phenotype.Journal of Crohn's & colitis · 2026Article
- Artificial intelligence in the management of inflammatory bowel disease: What's next?World journal of gastrointestinal pharmacology and therapeutics · 2026Review
- TUG1 and H19 lncRNAs Can Predict Anti-TNF Unresponsiveness in Patients With Ulcerative Colitis: A Machine Learning-Based Approach.Mediators of inflammation · 2026Article
- Inflammatory and Immune Pathways Driving Tumor Necrosis Factor Inhibitor Resistance in Ulcerative Colitis.Journal of inflammation research · 2026Review
- Artificial intelligence use for precision medicine in inflammatory bowel disease: a systematic review.American journal of translational research · 2025Review
- Response to Upadacitinib in Patients with Inflammatory Bowel Disease Previously Treated with Tofacitinib.Digestive diseases and sciences · 2024Article
- Protective effect of zinc oxide nanoparticles synthesized using Cassia alata for DSS-induced ulcerative colitis in mice model.Bioprocess and biosystems engineering · 2024Article
- Precision Medicine in Inflammatory Bowel Disease: A Spotlight on Emerging Molecular Biomarkers.Biomedicines · 2024Review
- Cellular and Molecular Determinants of Biologic Drugs Resistance and Therapeutic Failure in Inflammatory Bowel Disease.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays, anti-TNF therapy remarkably improves the medical management of ulcerative colitis (UC), but approximately 40 % of patients do not respond to this treatment. In this study, we used 79 anti-TNF-naive patients with moderate-to-severe UC from four cohorts to discover alternative therapeutic targets and develop a personalized medicine approach that can diagnose UC non-responders (UCN) prior to receiving anti-TNF therapy. To this end, two microarray data series were integrated to create a discovery cohort with 35 UC samples. A comprehensive gene expression and functional analysis was performed and identified 313 significantly altered genes, among which
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Registered trials
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.