Evidence map›Paper›PMID 19048070›Full record

ReviewDisease models & mechanisms

The development of animal models for the study of necrotizing enterocolitis.

Chhinder Sodhi, Ward Richardson, Steven Gribar, David J Hackam

Open access · greenAbstract readReview
In one paragraph

Review in Disease models & mechanisms. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 11% 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

62 citing papers in PubMed, 3 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Chhinder SodhiDivision of Pediatric Surgery, Department of Surgery, Children's Hospital of Pittsburgh, 3705 Fifth Avenue, Pittsburgh, PA 15213, USA.
Ward Richardson
Steven Gribar
David J Hackam
Children's Hospital of Pittsburgh · USUniversity of Pittsburgh · US

Funding

TLR4 Signaling in the Pathogenesis of Surgical Necrotizing EnterocolitisR01GM078238 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HACKAM, DAVID J · 2006 to 2019
$3.9M
Modulation of TLR4 and TLR9 Signaling in NECR01DK083752 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HACKAM, DAVID J · 2008 to 2016
$3.4M
NIDDK NIH HHS R01 DK083752NIGMS NIH HHS R01 GM078238
6 · The paper itself

Abstract

Necrotizing enterocolitis (NEC) is the leading cause of death and long-term disability from gastrointestinal disease in preterm infants, and is characterized by acute and chronic intestinal inflammation that may lead to systemic sepsis and multi-system organ failure. NEC typically develops in the preterm infant after the administration of tube feeds, although it may occasionally be seen in full-term babies. Despite extensive clinical experience in the management of patients with NEC, the underlying cellular and molecular mechanisms leading to its development remain incompletely understood. Several animal models have therefore been developed in a variety of species in order to study the pathogenesis of NEC and to develop more effective treatment strategies. This review seeks to examine the pros and cons of animal models that have been developed in the study of NEC over the past 30 years. It will highlight the various strengths and weaknesses of experimental approaches that have been used, and discuss potential directions for the development of such models for the future.

Indexed as

Disease Models, AnimalAnimalsEnterocolitis, NecrotizingHumansInfant, NewbornInfant, Newborn, DiseasesInfant, Premature

Identifiers

PMID19048070
PMCPMC2562191
OpenAlexW1966382927

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.