Evidence map›Paper›PMID 26638000›Full record

ArticlePediatric radiology2016

MR enterography-histology comparison in resected pediatric small bowel Crohn disease strictures: can imaging predict fibrosis?

Daniel T Barkmeier, Jonathan R Dillman, Mahmoud Al-Hawary, Amer Heider, Matthew S Davenport, Ethan A Smith, Jeremy Adler

Abstract readComparative StudyEvaluation StudyValidation Study
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
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  6. Comprehensive review and update of stricturing Crohn's disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2024
    Review
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  20. Can Contrast-Enhanced Sonography Detect Bowel Wall Fibrosis in Mixed Inflammatory and Fibrotic Crohn Disease Lesions in an Animal Model?Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2017
    Article
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 1 country.

Daniel T BarkmeierDepartment of Radiology, University of Michigan Health System, Ann Arbor, MI, USA.
Jonathan R DillmanDivision of Thoracoabdominal Imaging, Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229-3026, USA. Jonathan.Dillman@cchmc.org.
Mahmoud Al-HawaryDepartment of Radiology, University of Michigan Health System, Ann Arbor, MI, USA.
Amer HeiderDepartment of Pathology, C.S. Mott Children's Hospital, University of Michigan Health System, Ann Arbor, MI, USA.
Matthew S DavenportDepartment of Radiology, University of Michigan Health System, Ann Arbor, MI, USA.
Ethan A SmithDepartment of Radiology, University of Michigan Health System, Ann Arbor, MI, USA.
Jeremy AdlerDivision of Pediatric Gastroenterology, Department of Pediatrics, C. S. Mott Children's Hospital, University of Michigan Health System, Ann Arbor, MI, USA.
Michigan Medicine · USCincinnati Children's Hospital Medical Center · USC. S. Mott Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCrohn disease is a chronic inflammatory condition that can lead to intestinal strictures. The presence of fibrosis within strictures alters optimal management but is not reliably detected by current imaging methods.

objectiveTo correlate the MRI features of surgically resected small-bowel strictures in pediatric Crohn disease with histological inflammation and fibrosis scoring. MATERIALS AND

methodsWe included children with Crohn disease who had symptomatic small-bowel strictures requiring surgical resection and had preoperative MR enterography (MRE) within 3 months of surgery (n = 20). Two blinded radiologists reviewed MRE examinations to document stricture-related findings. A pediatric pathologist scored stricture histological specimens for fibrosis (0-4) and inflammation (0-4). MRE findings were correlated with histological data using Spearman correlation (ρ) and exact logistic regression analysis.

resultsThere was significant positive correlation between histological bowel wall fibrosis and inflammation in resected strictures (ρ = 0.55; P = 0.01). Confluent transmural histological fibrosis was associated with pre-stricture upstream small-bowel dilatation >3 cm at univariate (odds ratio [OR] = 51.7; 95% confidence interval [CI]: 7.6- > 999.9; P = 0.0002) and multivariate (OR = 43.4; 95% CI: 6.1- > 999.9; P = 0.0006, adjusted for age) analysis. The degree of bowel wall T2-weighted signal intensity failed to correlate with histological bowel wall fibrosis or inflammation (P-values >0.05). There were significant negative correlations between histological fibrosis score and patient age at resection (ρ = -0.48, P = 0.03), and time from diagnosis to surgery (ρ = -0.73, P = 0.0002).

conclusionHistological fibrosis and inflammation co-exist in symptomatic pediatric Crohn disease small-bowel strictures and are positively correlated. Pre-stenotic upstream small-bowel dilatation greater than 3 cm is significantly associated with confluent transmural fibrosis.

Indexed as

AdolescentCrohn DiseaseFemaleFibrosisHumansIntestinal ObstructionIntestine, SmallMagnetic Resonance ImagingMalePrognosisReproducibility of ResultsRetrospective StudiesRisk AssessmentSensitivity and SpecificitySingle-Blind MethodStatistics as TopicChildrenCrohn diseaseHistologyInflammatory bowel diseaseMagnetic resonance enterographyStricture

Identifiers

PMID26638000
OpenAlexW2268544957

What OpenQuestion holds

Textmetadata
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.