Evidence map›Paper›PMID 35544371›Full record

ArticleAJR. American journal of roentgenology2022

MRI-Based Characterization of Intestinal Motility in Children and Young Adults With Newly Diagnosed Ileal Crohn Disease Treated by Biologic Therapy: A Controlled Prospective Study.

Jonathan R Dillman, Jean A Tkach, Rebecca Imbus, Alexander J Towbin, Lee A Denson

Open access · greenAbstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  5. Article
  6. Practical applications of AI in body imaging.Abdominal radiology (New York) · 2026
    Review
  7. Review
  8. Crohn Disease Strictures: Multimodality Imaging to Identify Imaging Biomarkers.Radiographics : a review publication of the Radiological Society of North America, Inc · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jonathan R DillmanDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229.
Jean A TkachDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229.
Rebecca ImbusDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229.
Alexander J TowbinDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229.
Lee A DensonDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH.
University of Cincinnati Medical Center · USCincinnati Children's Hospital Medical Center · US

Funding

Early MRI Prediction of Response to Medical Therapy and Mucosal Healing in Small Bowel Crohn's DiseaseR21DK114657 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DILLMAN, JONATHAN RUSSELL, TKACH, JEAN ADELAIDE · 2018 to 2019
$414k
NIDDK NIH HHS R21 DK114657
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Biological ProductsCrohn DiseaseIleal DiseasesAdolescentBiological TherapyChildFemaleGastrointestinal MotilityHumansMagnetic Resonance ImagingMaleProspective StudiesYoung AdultBiological Productsbiologic therapychildrenCrohn diseaseintestinal motilityMRIperistalsistreatment response

Identifiers

PMID35544371
PMCPMC10938237
OpenAlexW4280555679

What OpenQuestion holds

Textmetadata
LicenceTDM
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.