Skip to content
EvidenceHelixEvidenceLib · Scientific Encyclopedia
⌘ K

Scientific library

EvidenceLib encyclopediaAll articles A–Z2,835Open textbooks209Open-access articles1,406Cancer study catalog458How it is made

My workspace this browser

Saved pages0Notes & annotations0

Recently viewed

Explore by field

Cancer and Oncology182Genetics and Genomics170Neuroscience185Cardiovascular Medicine180Immunology142Pharmacology173Molecular Biology161Infectious Diseases150Rare and Inherited Diseases181Clinical Research173Anatomy and Physiology613Drugs and Chemicals621Psychiatry and Psychology185Public Health and Nutrition178Diagnostics and Medical Technology125Respiratory Medicine113Digestive System and Liver91Metabolism and Endocrine Disease177Bones, Joints, Muscles and Skin213Kidney, Urology and Women's Health173Eye, Ear, Nose and Throat55
Plans & pricingCompare EvidenceHelix workspace plans
Library›Open textbooks›Magnetic resonance enterography to predict disabling disease in newly diagnosed Crohn’s disease: the METRIC-EF multivariable prediction model, multicentre diagnostic inception cohort study›Trial objectives

Continue where you left off ()

Explore more with EvidenceHelix Workspace

Compare studies, analyze evidence and create research reports with premium tools.

Explore Researcher plans

Magnetic resonance enterography to predict disabling disease in newly diagnosed Crohn’s disease: the METRIC-EF multivariable prediction model, multicentre diagnostic inception cohort study · Trial objectives

Trial objectives

CC BY 4.0 · National Institute for Health and Care Research · approximately 1 min read

Parts of this chapter have been reproduced with permission from Kumar et al.1 This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) licence, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: https://creativecommons.org/licenses/by/4.0/. The text below includes minor additions and formatting changes to the original text.

Primary objective

  • To improve prediction of disabling CD within 5 years of diagnosis by developing and internally evaluating a multivariable prediction model comprising both existing standard predictors and those based on MRE.

Secondary objectives

  • To improve the prediction of disabling CD within 5 years, defined by the Montreal and Liège behaviour criteria, by developing and internally evaluating a multivariable prediction model comprising clinical predictors and adding MRE scores.
  • To identify specific combinations of individual MRE findings that best predict disabling CD within 5 years of diagnosis.
  • To estimate the healthcare costs incurred within 5 years of a new diagnosis of CD and to explore patient, imaging and disease characteristics driving higher health economic costs.
  • Assuming promising predictive potential, to then generate a research design for a subsequent prospective study to externally evaluate our MRE-based prediction model if appropriate.
← IntroductionMethods →

Attribution. Shankar Kumar; Andrew Plumb; Sue Mallett; Caroline Clarke; Tom Parry; Jing Yi Jessica Weng et al. (2026). Magnetic resonance enterography to predict disabling disease in newly diagnosed Crohn’s disease: the METRIC-EF multivariable prediction model, multicentre diagnostic inception cohort study. National Institute for Health and Care Research. Copyright © 2026 Kumar et al. Licensed under CC BY 4.0. NCBI Bookshelf NBK621032. CC BY 4.0. Original source ↗. Text reproduced from the Bookshelf XML without changing wording; figures, images and supplements are not reproduced.

In this chapter Contents

  • Trial objectives

Source

OpenStax source file ↗

Source record ↗

EvidenceLib is a research-education resource, not medical advice. It does not diagnose, prescribe or recommend starting, stopping or changing any treatment. Talk to a qualified clinician about your own situation. Methods, sources and licences · Rights and removal requests · Legal · Support