ArticleInflammatory bowel diseases2019
Predicting Risk of Postoperative Disease Recurrence in Crohn's Disease: Patients With Indolent Crohn's Disease Have Distinct Whole Transcriptome Profiles at the Time of First Surgery.
Article in Inflammatory bowel diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Prognostic models for predicting postoperative recurrence in Crohn's disease: a systematic review and critical appraisal.Frontiers in immunology · 2023Pooled it
- Postoperative Recurrence in Crohn's Disease: Pathophysiology, Risk Stratification, and Management Strategies.Journal of clinical medicine · 2025Review
- Artificial Intelligence in Advancing Inflammatory Bowel Disease Management: Setting New Standards.Cancers · 2025Review
- How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2025Review
- Artificial intelligence use for precision medicine in inflammatory bowel disease: a systematic review.American journal of translational research · 2025Review
- Post-operative Crohn's Disease Recurrence and Infectious Complications: A Transcriptomic Analysis.Digestive diseases and sciences · 2025Article
- Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence.United European gastroenterology journal · 2024Review
- Linking gene expression to clinical outcomes in pediatric Crohn's disease using machine learning.Scientific reports · 2024Article
- Integration and implementation of precision medicine in the multifaceted inflammatory bowel disease.World journal of gastroenterology · 2023Review
- Contemporary Management of Postoperative Crohn's Disease after Ileocolonic Resection.Journal of clinical medicine · 2022Review
- Machine Learning Predictive Outcomes Modeling in Inflammatory Bowel Diseases.Inflammatory bowel diseases · 2022Review
- Artificial Intelligence for Disease Assessment in Inflammatory Bowel Disease: How Will it Change Our Practice?Gastroenterology · 2022Review
- Perforating and nonperforating indications in repeated surgeries for Crohn's disease.World journal of clinical cases · 2022Article
- Measuring the human immune response to surgery: multiomics for the prediction of postoperative outcomes.Current opinion in critical care · 2021Review
- Review
- Clinical applications of artificial intelligence and machine learning-based methods in inflammatory bowel disease.Journal of gastroenterology and hepatology · 2021Article
- Artificial Intelligence Enhances Studies on Inflammatory Bowel Disease.Frontiers in bioengineering and biotechnology · 2021Review
- Review
- Development of a prognostic model for one-year surgery risk in Crohn's disease patients: A retrospective study.World journal of gastroenterology · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Background: Assessing risk of Crohn's disease (CD) recurrence following ileocolic resection (ICR) is necessary to optimize medical management and prevent long-term complications. This study aimed to identify noninvasive markers that could predict postoperative disease activity. Methods: Inclusion criteria were a diagnosis of CD, first ICR, interval colonoscopy, and whole transcriptome array meeting quality control standards. Demographic and clinical data were obtained from the electronic medical record. RNA extraction and human transcriptome microarray were performed on noninflamed ileal margins from operative specimens. Clinical data and random forest were analyzed in R. Principal components analysis, hierarchical clustering, and pathway enrichment were performed in Partek. Results: Sixty-five patients completed the study, and 5 were excluded from analysis due to extreme variability on whole transcriptome analysis. Unsupervised hierarchical clustering revealed that patients with an i0 Rutgeerts score generally segregated from all others. In anti-TNF-naïve patients, unsupervised hierarchical clustering revealed complete segregation of patients with an i0 score. Reduced escalation in therapy and continued mucosal remission, consistent with indolent disease, were seen in the 4 years following surgery. Random forest identified 30 transcripts differentiating i0 patients from the other groups. Pathway enrichment highlighted toll-like receptor, NOD-like receptor, and TNF signaling. This transcriptome signature did not identify i0 anti-TNF-exposed patients. However, anti-TNF-exposed patients with indolent postoperative courses were found to have a transcriptome signature distinct from those with aggressive disease. Conclusions: Anti-TNF-naïve and -exposed patients have unique expression profiles at the time of surgery, which may offer predictive value in assessing the risk of nonrecurrence. 10.1093/ibd/izy228_video1izy228.video15804852517001.
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What OpenQuestion holds
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.