Prognostic Modelling in IBD.
Rimmer, Peter Iqbal, Tariq
Rimmer, Peter
Iqbal, Tariq
Abstract
In the ideal world prognostication or predicting disease course in any chronic condition would allow the clinician to anticipate disease behaviour, providing crucial information for the patient and data regarding best use of resources. Prognostication also allows an understanding of likely response to treatment and the risk of adverse effects of a treatment leading to withdrawal in any individual patient. Therefore, the ability to predict outcomes from the onset of disease is the key step to developing precision personalised medicine, which is the design of medical care to optimise efficiency or therapeutic benefit based on careful profiling of patients. An important corollary is to prevent unnecessary healthcare costs. This paper outlines currently available predictors of disease outcome in IBD and looks to the future which will involve the use of artificial intelligence to interrogate big data derived from various important ‘omes’ to tease out a more holistic approach to IBD.
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Date
2023-11-29
Type
Article
Subject
Gastroenterology
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Citation
Rimmer P, Iqbal T. Prognostic modelling in IBD. Best Pract Res Clin Gastroenterol. 2023 Dec;67:101877. doi: 10.1016/j.bpg.2023.101877. Epub 2023 Nov 29. PMID: 38103929.
Journal / Source Title
Best Practice & Research: Clinical Gastroenterology
DOI
10.1016/j.bpg.2023.101877
PMID
38103929
Publisher
Elsevier
Publisher’s URL
https://www.sciencedirect.com/science/article/pii/S152169182300063X