ArticleJournal of clinical medicine2021
Development of a Clinical and Genetic Prediction Model for Early Intestinal Resection in Patients with Crohn's Disease: Results from the IMPACT Study.
Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation.Inflammatory bowel diseases · 2022Pooled it
- Gene, genetics and genetic medicines in gastroenterology: Current status and its future.World journal of gastroenterology · 2026Review
- Prognostic Value of Enterography Findings in Crohn's Disease: A Systematic Review and Meta-Analysis.Journal of imaging · 2025Review
- Genetic Artificial Intelligence in Gastrointestinal Disease: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025Review
- Evolution of inflammatory bowel disease in Korea: a 60-year perspective on clinical and research development.Intestinal research · 2025Review
- Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.Genetics in medicine : official journal of the American College of Medical Genetics · 2025Article
- Artificial intelligence use for precision medicine in inflammatory bowel disease: a systematic review.American journal of translational research · 2025Review
- An explainable artificial intelligence framework for risk prediction of COPD in smokers.BMC public health · 2023Article
- Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.medRxiv : the preprint server for health sciences · 2023Article
- Enrichment of Activated Fibroblasts as a Potential Biomarker for a Non-Durable Response to Anti-Tumor Necrosis Factor Therapy in Patients with Crohn's Disease.International journal of molecular sciences · 2023Article
- Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease.Diagnostics (Basel, Switzerland) · 2022Review
- Development of a Machine Learning Model to Distinguish between Ulcerative Colitis and Crohn's Disease Using RNA Sequencing Data.Diagnostics (Basel, Switzerland) · 2021Article
- Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus.BioData mining · 2021Article
- The Role of Extracellular Matrix Components in Inflammatory Bowel Diseases.Journal of clinical medicine · 2021Review
- Identification and Validation of the Pyroptosis-Related Molecular Subtypes of Lung Adenocarcinoma by Bioinformatics and Machine Learning.Frontiers in cell and developmental biology · 2021Article
Corrections and comments
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Authors and funding
18 authors at 13 institutions in 1 country.
Funding
Abstract
Early intestinal resection in patients with Crohn's disease (CD) is necessary due to a severe and complicating disease course. Herein, we aim to predict which patients with CD need early intestinal resection within 3 years of diagnosis, according to a tree-based machine learning technique. The single-nucleotide polymorphism (SNP) genotype data for 337 CD patients recruited from 15 hospitals were typed using the Korea Biobank Array. For external validation, an additional 126 CD patients were genotyped. The predictive model was trained using the 102 candidate SNPs and seven sets of clinical information (age, sex, cigarette smoking, disease location, disease behavior, upper gastrointestinal involvement, and perianal disease) by employing a tree-based machine learning method (CatBoost). The importance of each feature was measured using the Shapley Additive Explanations (SHAP) model. The final model comprised two clinical parameters (age and disease behavior) and four SNPs (rs28785174, rs60532570, rs13056955, and rs7660164). The combined clinical-genetic model predicted early surgery more accurately than a clinical-only model in both internal (area under the receiver operating characteristic (AUROC), 0.878 vs. 0.782;
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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.