Evidence map›Paper›PMID 30042983›Full record

ArticleTomography (Ann Arbor, Mich.)2018

Assessing Mucosal Inflammation in a DSS-Induced Colitis Mouse Model by MR Colonography.

Inbal E Biton, Noa Stettner, Ori Brener, Ayelet Erez, Alon Harmelin, Joel R Garbow

Open access · goldAbstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  6. Protective Effect ofNutrients · 2020
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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

6 authors at 2 institutions in 2 countries.

Inbal E BitonDepartment of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel.
Noa StettnerDepartment of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel.
Ori BrenerDepartment of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel.
Ayelet ErezDepartment of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.
Alon HarmelinDepartment of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel.
Joel R GarbowBiomedical Magnetic Resonance Laboratory, Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO.
Weizmann Institute of Science · ILMallinckrodt (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is characterized by a chronic flaring inflammation of the gastrointestinal tract. To determine disease activity, the inflammatory state of the colon should be assessed. Endoscopy in patients with IBD aids visualization of mucosal inflammation. However, because the mucosa is fragile, there is a significant risk of perforation. In addition, the technique is based on grading of the entire colon, which is highly operator-dependent. An improved, noninvasive, objective magnetic resonance imaging (MRI) technique will effectively assess pathologies in the small intestinal mucosa, more specifically, along the colon, and the bowel wall and surrounding structures. Here, dextran sodium sulfate polymer induced acute colitis in mice that was subsequently characterized by multisection magnetic resonance colonography. This study aimed to develop a noninvasive, objective, quantitative MRI technique for detecting mucosal inflammation in a dextran sodium sulfate-induced colitis mouse model. MRI results were correlated with endoscopic and histopathological evaluations.

Indexed as

inflammatory bowel diseasemagnetic resonance imagingMR colonographyT2 mapulcerative colitis

Identifiers

PMID30042983
PMCPMC6024430
OpenAlexW2995895105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.