Evidence map›Paper›PMID 38417068›Full record

ArticleInflammatory bowel diseases2025

Comparison of Fecal Calprotectin and Myeloperoxidase in Predicting Outcomes in Inflammatory Bowel Disease.

A Swaminathan, G M Borichevsky, C M Frampton, A S Day, M B Hampton, A J Kettle, R B Gearry

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Inflammatory bowel diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
12.7field-weighted citation impact, top 1% of its field
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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Observational
  3. Factors Associated With Loss of Fecal Biomarker Accuracy During Routine Assessment of Inflammatory Bowel Disease.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
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  11. Article
  12. Review
  13. Article
  14. Observational
  15. Review
  16. Article
  17. Review
  18. Review
  19. Biomarkers in inflammatory bowel disease: a practical guide.Therapeutic advances in gastroenterology · 2024
    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

7 authors at 3 institutions in 2 countries.

A SwaminathanDepartment of Medicine, University of Otago Christchurch, Christchurch, New Zealand.ORCID 0000-0003-1954-844X
G M BorichevskyMātai Hāora, Centre for Redox Biology and Medicine, Department of Pathology and Biomedical Science, University of Otago Christchurch, Christchurch, New Zealand.
C M FramptonDepartment of Medicine, University of Otago Christchurch, Christchurch, New Zealand.
A S DayDepartment of Paediatrics, University of Otago Christchurch, Christchurch, New Zealand.ORCID 0000-0003-2290-7386
M B HamptonMātai Hāora, Centre for Redox Biology and Medicine, Department of Pathology and Biomedical Science, University of Otago Christchurch, Christchurch, New Zealand.
A J KettleMātai Hāora, Centre for Redox Biology and Medicine, Department of Pathology and Biomedical Science, University of Otago Christchurch, Christchurch, New Zealand.
R B GearryDepartment of Medicine, University of Otago Christchurch, Christchurch, New Zealand.
University of Otago · NZChristchurch Hospital · NZChrist University · IN

Funding

New Zealand Society of Gastroenterology ResearchRoyal Australasian College of Physicians
6 · The paper itself

Abstract

backgroundBiomarkers have been proposed as surrogate treatment targets for the management of inflammatory bowel disease (IBD); however, their relationship with IBD-related complications remains unclear. This study investigated the utility of neutrophil biomarkers fecal calprotectin (fCal) and fecal myeloperoxidase (fMPO) in predicting a complicated IBD course.

methodsParticipants with IBD were followed for 24 months to assess for a complicated IBD course (incident corticosteroid use, medication escalation for clinical disease relapse, IBD-related hospitalizations/surgeries). Clinically active IBD was defined as Harvey-Bradshaw index >4 for Crohn's disease (CD) and simple clinical colitis activity index >5 for ulcerative colitis (UC). Area under the receiver-operating-characteristics curves (AUROC) and multivariable logistic regression assessed the performance of baseline symptom indices, fCal, and fMPO in predicting a complicated disease IBD course at 24 months.

resultsOne hundred and seventy-one participants were included (CD, n = 99; female, n = 90; median disease duration 13 years [interquartile range, 5-22]). Baseline fCal (250 μg/g; AUROC = 0.77; 95% confidence interval [CI], 0.69-0.84) and fMPO (12 μg/g; AUROC = 0.77; 95% CI, 0.70-0.84) predicted a complicated IBD course. Fecal calprotectin (adjusted OR = 7.85; 95% CI, 3.38-18.26) and fMPO (adjusted OR = 4.43; 95% CI, 2.03-9.64) were associated with this end point after adjustment for other baseline variables including clinical disease activity. C-reactive protein (CRP) was inferior to fecal biomarkers and clinical symptoms (pdifference < .05) at predicting a complicated IBD course. A combination of baseline CRP, fCal/fMPO, and clinical symptoms provided the greatest precision at identifying a complicated IBD course.

conclusionsFecal biomarkers are independent predictors of IBD-related outcomes and are useful adjuncts to routine clinical care.

Indexed as

BiomarkersColitis, UlcerativeCrohn DiseaseFecesLeukocyte L1 Antigen ComplexPeroxidaseAdultFemaleFollow-Up StudiesHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesBiomarkersLeukocyte L1 Antigen ComplexPeroxidasebiomarkersfecal biomarkersIBD management

Identifiers

PMID38417068
PMCPMC11700882
OpenAlexW4392243277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.