Evidence map›Paper›PMID 21108353›Full record

ArticleJournal of medical virology2011

Respiratory viruses in children admitted to hospital intensive care units: evaluating the CLART® Pneumovir DNA array.

Emilie Frobert, V Escuret, E Javouhey, J S Casalegno, M Bouscambert-Duchamp, C Moulinier, Y Gillet, B Lina, D Floret, F Morfin

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of medical virology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Multiplex PCR system for the rapid diagnosis of respiratory virus infection: systematic review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2018
    Pooled it
  3. Respiratory viral coinfection and disease severity in children: A systematic review and meta-analysis.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2016
    Pooled it
  4. Article
  5. Article
  6. The molecular epidemiology of respiratory viruses in military trainees in Iran.Medical journal of the Islamic Republic of Iran · 2019
    Article
  7. Multiplex PCR reveals that viruses are more frequent than bacteria in children with cystic fibrosis.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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  16. Article
  17. Observational
  18. Evaluation of viral co-infections in hospitalized and non-hospitalized children with respiratory infections using microarrays.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2013
    Article
  19. Article
  20. The microarray technology: facts and controversies.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2013
    Review
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

10 authors at 5 institutions in 1 country.

Emilie FrobertLaboratoire de Virologie Est, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Bron Cedex, Lyon, France. emilie.frobert@chu-lyon.fr
V Escuret
E Javouhey
J S Casalegno
M Bouscambert-Duchamp
C Moulinier
Y Gillet
B Lina
D Floret
F Morfin
Hospices Civils de Lyon · FRUniversité Claude Bernard Lyon 1 · FRVirologie et Pathologies Humaines · FRCentre National de la Recherche Scientifique · FRHôpital Femme Mère Enfant · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses play a significant part in children's respiratory infections, sometimes leading to hospitalization in cases of severe respiratory distress. The aim of this study was to investigate respiratory infections in children treated in a hospital intensive care unit (ICU). Assays were performed using the CLART® Pneumovir DNA array assay (Genomica, Coslada, Madrid, Spain), which makes it possible to detect 11 genus of respiratory viruses simultaneously. During the winter of 2008-2009, 73 respiratory specimens collected from 53 children under 2 years of age and admitted to an ICU were tested. At least one virus was detected in 78% (57/73) of the samples. The virological diagnosis was based on single infections in 65% (37/57) and on multiple infections in 35% (20/57) of cases. The array assay revealed respiratory syncytial virus (RSV) in 73.6% (42/57) of the samples and rhinovirus in 24.6% (14/57), either on their own or in co-infections. All viruses identified in single and multiple infections were tested, taking into account clinical features, risk factors, and severity criteria. Children with no risk factors presented more multiple infections, up to 42% of cases, than children with at least one risk factor. RSV seemed to induce severe symptoms by itself as no difference in intubation needs was observed when RSV was detected on its own or in co-infection. The CLART® Pneumovir DNA array was useful for examining severe viral respiratory infections, when other viruses than those detected by conventional methods could be involved, particularly in an ICU.

Indexed as

ComorbidityHospitalsHumansInfantInfant, NewbornIntensive Care UnitsOligonucleotide Array Sequence AnalysisRespiratory Tract InfectionsVirologyVirus DiseasesViruses

Identifiers

PMID21108353
PMCPMC7167182
OpenAlexW2009753594

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.