Evidence map›Paper›PMID 24483149›Full record

ArticleInfluenza and other respiratory viruses2014

Epidemiology of respiratory viral infections in children enrolled in a study of influenza vaccine effectiveness.

Alexa Dierig, Leon G Heron, Stephen B Lambert, Jiehui Kevin Yin, Julie Leask, Maria Yui Kwan Chow, Theo P Sloots, Michael D Nissen, Iman Ridda, Robert Booy

Open access · goldAbstract read
In one paragraph

Article in Influenza and other respiratory viruses, 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
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Circulation profile of respiratory viruses in symptomatic and asymptomatic children from Midwest Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Article
  5. Article
  6. Article
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  8. Article
  9. Prevalence, codetection and seasonal distribution of upper airway viruses and bacteria in children with acute respiratory illnesses with cough as a symptom.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2016
    Article
  10. Is virus coinfection a predictor of severity in children with viral respiratory infections?Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2015
    Article
  11. Article
  12. Article
  13. The impact of influenza-like illness in young children on their parents: a quality of life survey.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    Article
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 8 institutions in 3 countries.

Alexa DierigNational Centre for Immunisation Research and Surveillance, The Children's Hospital at Westmead, Westmead, NSW, Australia; University Children's Hospital both Basel, Basel, Switzerland.
Leon G Heron
Stephen B Lambert
Jiehui Kevin Yin
Julie Leask
Maria Yui Kwan Chow
Theo P Sloots
Michael D Nissen
Iman Ridda
Robert Booy
Children's Hospital at Westmead · AUUniversity of Sydney · AUChildren's Medical Research Institute · AUMelanoma Institute Australia · AUNational Centre for Immunisation Research & Surveillance · AUQueensland Children’s Medical Research Institute · AUServices Australia · AUUniversity Children’s Hospital Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza-like illness (ILI) confers a high annual morbidity in young children. We report the epidemiology of ILIs in children who participated in an influenza vaccine effectiveness study during the 2010 Southern Hemisphere influenza season in Sydney, Australia.

methodsChildren aged 0·5-3 years were prospectively recruited from child care centres (CCCs). We classified them as fully vaccinated, partially vaccinated and unvaccinated according to their receipt of unadjuvanted vaccines containing influenza A (H1N1)pdm09. For 13 weeks commencing 30 July 2010, parents reported when their children developed an ILI (fever ≥37·8°C/feverishness plus ≥1 respiratory symptom) and collected nose and/or throat swabs for multiplex respiratory virus polymerase chain reaction (PCR) testing. Health impacts were assessed by telephone interview at enrolment and two weeks after each ILI.

resultsThere were 124 ILIs reported in 105 of 381 enrolled children. Swabs were taken in 117 ILIs: 175 viruses were identified from 103 swabs. Adeno- and rhinoviruses were most frequently identified; 44% of swabs yielded multiple viruses. No virus was associated with more severe symptoms, although rhinovirus-related ILIs lasted longer. Nose swabs had a higher virus detection rate than throat swabs. Influenza-vaccinated children were 1·6 times (P = 0·001) more likely than unvaccinated children to have a non-influenza ILI.

conclusionAdeno- and rhinoviruses were the most common viruses causing ILI. Swabs taken by parents are an effective method for sample collection. Influenza-like illness was more common in children vaccinated against influenza in this observational study, but prior health-seeking behaviour may have contributed to this difference.

Indexed as

AustraliaChild, PreschoolCohort StudiesFemaleHumansInfantInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesMaleRespiratory Tract InfectionsSeasonsVaccinationInfluenza VaccinesChildreninfluenzarespiratory viral infections

Identifiers

PMID24483149
PMCPMC4181477
OpenAlexW2020183591

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.