Evidence map›Paper›PMID 25635205›Full record

ArticleJournal of antivirals & antiretrovirals2014

Modeling Human Respiratory Viral Infections in the Cotton Rat (

Jorge Cg Blanco, Marina S Boukhvalova, Daniel R Perez, Stefanie N Vogel, Adriana Kajon

Abstract read
In one paragraph

Article in Journal of antivirals & antiretrovirals, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

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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 at 1 institution in 1 country.

Jorge Cg BlancoSigmovir Biosystems Inc. Rockville, USA.
Marina S BoukhvalovaSigmovir Biosystems Inc. Rockville, USA.
Daniel R PerezDepartment of Veterinary Medicine, University of Maryland, Collage Park, USA.
Stefanie N VogelDepartment of Microbiology and Immunology, University of Maryland, School of Medicine, Baltimore, USA.
Adriana KajonInfectious Disease Program, Lovelace Respiratory Research Institute, Albuquerque, USA.
Sigmovir Biosystems (United States) · US

Funding

The Role of TLR4 and RSV F Protein in Immunity to RSVR01AI057575 · NIAID · VIRION SYSTEMS, INC. · PI BLANCO, JORGE C · 2004 to 2013
$5.1M
Eritoran (E5564), a TLR4 antagonist, as a novel therapeutic for influenzaR01AI104541 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI BLANCO, JORGE C, VOGEL, STEFANIE N. · 2013 to 2016
$3.4M
Development of the Cotton Rat Model of Rhinovirus Infection and DiseaseR21AI101480 · NIAID · SIGMOVIR BIOSYSTEMS, INC. · PI BLANCO, JORGE C · 2012 to 2013
$513k
NIAID NIH HHS R01 AI057575NIAID NIH HHS R01 AI104541NIAID NIH HHS R21 AI101480
6 · The paper itself

Abstract

For over three decades, cotton rats have been a preferred model for human Respiratory Syncytial Virus (RSV) infection and pathogenesis, and a reliable model for an impressive list of human respiratory pathogens including adenoviruses, para influenza virus, measles, and human metapneumo virus. The most significant contribution of the cotton rat to biomedical research has been the development of anti-RSV antibodies for prophylactic use in high-risk infants. More recently, however, the cotton rat model has been further explored as a model for infection with other respiratory viral pathogens including influenza and rhinovirus.Together with RSV, these viruses inflict the greatest impact on the human respiratory health.This review will focus on the characteristics of these new models and their potential contribution to the development of new therapies.

Indexed as

Cotton ratInfluenzaRhinovirusViral infections

Identifiers

PMID25635205
PMCPMC4307615
OpenAlexW2024595874

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.