Evidence map›Paper›PMID 40369265›Full record

ArticleEuropean radiology2025

Magnetic resonance enterography to predict subsequent disabling Crohn's disease in newly diagnosed patients (METRIC-EF)-multivariable prediction model, multicentre diagnostic inception cohort.

Stuart A Taylor, Shankar Kumar, Thomas Parry, Sue Mallett, Simon Travis, Tim Raine, Caroline Clarke, Jing Yi Weng, Gauraang Bhatnagar, Stuart Bloom and 23 more

Abstract readMulticenter Study
In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Stuart A Taylor *Centre for Medical Imaging, University College London (UCL), London, UK. stuart.taylor@ucl.ac.uk.ORCID http://orcid.org/0000-0002-6765-8806
Shankar Kumar *Centre for Medical Imaging, University College London (UCL), London, UK.
Thomas ParryCentre for Medical Imaging, University College London (UCL), London, UK.
Sue MallettCentre for Medical Imaging, University College London (UCL), London, UK.
Simon TravisKennedy Institute and Translational Gastroenterology Unit, University of Oxford and Biomedical Research Centre, Oxford, UK.
Tim RaineDepartment of Gastroenterology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Caroline ClarkeResearch Department of Primary Care and Population Health, University College London (UCL), London, UK.
Jing Yi WengResearch Department of Primary Care and Population Health, University College London (UCL), London, UK.
Gauraang BhatnagarCentre for Medical Imaging, University College London (UCL), London, UK.
Stuart BloomDepartment of Gastroenterology, University College London Hospitals NHS Foundation Trust, London, UK.
Peter John HamlinDepartment of Gastroenterology, St James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Ailsa HartInflammatory Bowel Disease Unit, St Mark's Hospital, LNWUH NHS Trust, Harrow, UK.
Roser VegaDepartment of Gastroenterology, University College London Hospitals NHS Foundation Trust, London, UK.
Maira HameedCentre for Medical Imaging, University College London (UCL), London, UK.
Anisha BhagwananiDepartment of Radiology, Frimley Park Hospital, Surrey, UK.
Rebecca GreenhalghDepartment of Intestinal Imaging, St Mark's Hospital, LNWUH NHS Trust, Harrow, UK.
Emma HelbrenDepartment of Radiology, Hull University Teaching Hospitals NHS Trust, Hull, UK.
James StephensonCentre for Medical Imaging, University College London (UCL), London, UK.
Ian ZealleyDepartment of Radiology, Ninewells Hospital and Medical School, Dundee, UK.
Vivienne EzeDepartment of Radiology, Maidstone and Tunbridge Wells NHS Foundation Trust, Kent, UK.
Jamie FranklinInstitute of Medical Imaging & Visualisation, Department of Medical Science & Public Health, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth, UK.
Alison CorrDepartment of Intestinal Imaging, St Mark's Hospital, LNWUH NHS Trust, Harrow, UK.
Arun GuptaDepartment of Intestinal Imaging, St Mark's Hospital, LNWUH NHS Trust, Harrow, UK.
Damian TolanDepartment of Radiology, St James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
William HoggDepartment of Radiology, St James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Antony HigginsonDepartment of Radiology, Queen Alexandra Hospital, Portsmouth Hospitals NHS Trust, Portsmouth, UK.
Mohamed AhmedDepartment of Gastroenterology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Louise LeeDepartment of Radiology, University Hospitals of Leicester NHS Foundation Trust, Leicester, UK.
Richard PollokInfection and Immunity Research Institute, St George's University of London, London, UK.
Jaymin PatelDepartment of Radiology, St George's University Hospitals NHS Foundation Trust London, London, UK.
Samantha BaillieDepartment of Gastroenterology, St George's University Hospitals NHS Foundation Trust London, London, UK.
Steve HalliganCentre for Medical Imaging, University College London (UCL), London, UK.
Andrew PlumbCentre for Medical Imaging, University College London (UCL), London, UK.

Funding

Health Technology Assessment Programme 15/5917
6 · The paper itself

Abstract

objectivesMagnetic resonance enterography (MRE) is a first-line investigation to diagnose Crohn's disease (CD), but its role for prognostication is unknown. Accordingly, we assessed the predictive ability of prognostic models including MRE scores (MRE Global Score (MEGS), simplified MR Index of Activity (sMARIA), and Lémann index (LI)) against models using clinical predictors alone for the development of modified Beaugerie disabling CD (MBDD) within 5 years of diagnosis.

methodsThis was a multicentre, diagnostic inception cohort of patients with newly diagnosed CD across 9 UK hospitals, followed for 4 years or more. We censored development of MBDD ≤ 90 days from diagnosis, and used time-to-event models using Royston-Parmer flexible parametric models.

resultsWe included 194 patients, median age 29, IQR 22-44 years, 52% female. Within 5 years of diagnosis, 42% (81/194) developed MBDD. In univariable analysis, initial steroid requirement was associated with increased risk of developing MBDD (HR 2.11 (95% CI 1.36, 3.26). The baseline clinical model had 49% (39, 60) sensitivity and 66% (57, 74) specificity for predicting the top 40% of patients with the greatest risk of developing MBDD, and 86% (77, 92) sensitivity and 35% (27, 45) specificity for predicting the development of MBDD in patients with an absolute risk of ≥ 10%. There was no significant difference in sensitivity when the MEGS, sMARIA, or LI were added to the baseline clinical model.

conclusionsAddition of MRE scores at diagnosis to a multivariable model comprising clinical predictors did not improve prediction of MBDD within 5 years of diagnosis. KEY POINTS: Question Magnetic resonance enterography (MRE) is important for diagnosing and monitoring Crohn's disease (CD), but primary research evaluating its prognostic role is lacking. Findings Adding MRE findings at diagnosis to a multivariable model comprising clinical predictors did not improve the prediction of disabling CD within 5 years of diagnosis. Clinical relevance When tested in a prospective, multicentre trial, current MRE activity and damage scores at diagnosis did not reliably predict whether patients would subsequently develop disabling CD. Notwithstanding this finding, MRE remains an essential tool for diagnosis and monitoring.

Indexed as

Crohn DiseaseMagnetic Resonance ImagingAdultCohort StudiesFemaleHumansMaleMultivariate AnalysisPredictive Value of TestsPrognosisSensitivity and SpecificityUnited KingdomYoung AdultCrohn’s diseaseMagnetic resonance imagingPrognostic model

Identifiers

PMID40369265
PMCPMC12559088

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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.