Evidence map›Paper›PMID 41233114›Full record

Observational studyBMJ open gastroenterology2025

Risk stratification of IBD-associated liver disease using routinely collected biomarkers from a large-scale real-world dataset.

Zachary Green, Alex Z Kadhim, Lynn Win, Gabriela Czanner, Robert Mark Beattie, Sarah Ennis, James John Ashton

Abstract readObservational Study
In one paragraph

Observational study in BMJ open gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zachary GreenDepartment of Human Genetics and Genomic Medicine, University of Southampton, Southampton, England, UK.ORCID http://orcid.org/0000-0002-2907-5538
Alex Z KadhimDepartment of Human Genetics and Genomic Medicine, University of Southampton, Southampton, England, UK.ORCID http://orcid.org/0000-0001-5600-0411
Lynn WinDepartment of Human Genetics and Genomic Medicine, University of Southampton, Southampton, England, UK.
Gabriela CzannerDepartment of Electronics and Computer Science, University of Southampton, Southampton, England, UK.
Robert Mark BeattieDepartment of Paediatric Gastroenterology, Southampton Children's Hospital, Southampton, UK.
Sarah EnnisDepartment of Human Genetics and Genomic Medicine, University of Southampton, Southampton, England, UK.
James John AshtonDepartment of Human Genetics and Genomic Medicine, University of Southampton, Southampton, England, UK j.ashton@soton.ac.uk.ORCID http://orcid.org/0000-0003-0348-8198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInflammatory bowel disease (IBD)-associated liver diseases (IBDALDs) are associated with hepatobiliary damage and malignancy, with diagnosis often delayed by heterogeneous presentation. We evaluated whether routinely collected biomarkers-at IBD diagnosis and during follow-up-can risk-stratify for IBDALD.

methodsThis observational retrospective longitudinal study included 1571 patients with IBD at University Hospital Southampton. Biomarkers including alanine aminotransferase (ALT), alkaline phosphatase (ALP) and erythrocyte sedimentation rate (ESR) (n=335 605 results) were summarised as patient-level medians within ±6 months of IBD diagnosis. Patients with pre-existing IBDALD were excluded. A 1:4 matched case-control design (age, sex, IBD subtype) was applied. Conditional logistic regression assessed associations with biomarkers (continuous values and binary-abnormal vs normal) and IBDALD. Longitudinal trends were evaluated using locally estimated scatterplot smoothing (LOESS) and linear mixed-effects models (LMMs).

resultsMedian age of IBD diagnosis was 18.0 years, median follow-up 11.5 years. Thirty-five IBDALD cases were identified (27 post-IBD); median time to IBDALD was 4.5 years. At IBD diagnosis, cases had elevated ALT, ALP and ESR (p<0.01). In case-control matching, ALT (OR=1.04 per U/L; 95% CI 1.01 to 1.07; p=0.012), ALP (OR=1.01; 95% CI 1.00 to 1.02; p=0.014) and ESR (OR=1.05; 95% CI 1.00 to 1.09; p=0.034) were associated with IBDALD. Any abnormal ALT (OR=5.10; 95% CI 1.57 to 16.59; p=0.0068) and ALP (OR=15.33; 95% CI 1.87 to 125.77; p=0.0110) were strongly associated. LOESS plots and LMMs demonstrated distinct biomarker trajectories (ALT, ALP) preceding IBDALD.

conclusionReal-world biomarker data can support early risk stratification for IBDALD. Elevated ALT and ALP at IBD diagnosis and distinct longitudinal trajectories highlight the need for follow-up to biomarker normalisation, with persistent abnormalities prompting earlier hepatobiliary investigation to reduce diagnostic delay and improve outcomes.

Indexed as

Inflammatory Bowel DiseasesLiver DiseasesAdolescentAdultAlanine TransaminaseAlkaline PhosphataseBiomarkersBlood SedimentationCase-Control StudiesFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesAlanine TransaminaseAlkaline PhosphataseBiomarkersAutoimmune biliary diseaseIBDLiver function testPrimary sclerosing cholangitis

Identifiers

PMID41233114
PMCPMC12625833

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.