Evidence map›Paper›PMID 25212688›Full record

ReviewSeminars in immunopathology2014

Use of animal models in elucidating disease pathogenesis in IBD.

Puja Vora Khanna, David Quan Shih, Talin Haritunians, Dermot Patrick McGovern, Stephan Targan

Abstract readReview
In one paragraph

Review in Seminars in immunopathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Effects of pentasa-combined probiotics on the microflora structure and prognosis of patients with inflammatory bowel disease.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2019
    Trial
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  3. Review
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  5. Extracts fromOncotarget · 2017
    Article
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  10. Review
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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

5 authors.

Puja Vora KhannaCedars-Sinai Medical Center, Los Angeles, CA, USA.
David Quan Shih
Talin Haritunians
Dermot Patrick McGovern
Stephan Targan

Funding

Using polygenic scores to enhance both variant discovery, and understanding of functional consequences of genetic variation in IBD.P01DK046763 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI TARGAN, STEPHAN R. · 1992 to 2020
$31.1M
TNF ALPHA AND CROHNS DISEASE MUCOSAL INFLAMMATIONR01DK056328 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI TARGAN, STEPHAN R. · 1999 to 2018
$6.9M
NIDDK NIH HHS P01 DK046763NIDDK NIH HHS R01 DK056328
6 · The paper itself

Abstract

Inflammatory bowel diseases (IBD) are a collection of diseases characterized by chronic gastrointestinal inflammation resulting from an exuberant immune response to commensal flora in genetically susceptible individuals. Rapid advances in the field of genomics have resulted in the identification of at least 163 loci that contribute susceptibility to both Crohn's disease (CD) and ulcerative colitis (UC). Similar to other complex diseases, however, the "curse of missing heritability" remains a significant concern in understanding the mechanisms underlying IBD. While genetic discoveries, to date, only account for 7-14% of disease variance for IBD, studies have increasingly demonstrated a role for environmental factors in disease pathogenesis. Furthermore, the use of animal models of IBD has led to a greater understanding of disease pathogenesis implicating various aspects of the innate immune response including the bacterial, fungal, and viral microbiome and adaptive immune response such as the interleukin (IL)-23/IL-17 pathway.

Indexed as

AnimalsCytokinesDisease Models, AnimalHumansImmunotherapyInflammatory Bowel DiseasesMolecular Targeted TherapySignal TransductionCytokines

Identifiers

PMID25212688
PMCPMC4205729

What OpenQuestion holds

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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.