Evidence map›Paper›PMID 26916807›Full record

ArticleEpidemiology and infection2016

Epidemiology of laboratory-confirmed respiratory syncytial virus infection in young children in England, 2010-2014: the importance of birth month.

R M Reeves, P Hardelid, R Gilbert, J Ellis, H Zhao, M Donati, R Pebody

Abstract read
In one paragraph

Article in Epidemiology and infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

7 authors.

R M ReevesFarr Institute of Health Informatics Research,London,UK.ORCID 0000-0002-8949-1568
P HardelidFarr Institute of Health Informatics Research,London,UK.
R GilbertFarr Institute of Health Informatics Research,London,UK.
J EllisVirus Reference Department,Public Health England,Colindale,London,UK.
H ZhaoRespiratory Diseases Department,Public Health England,Colindale,London,UK.
M DonatiBristol Public Health Laboratory,Public Health England,Bristol,UK.
R PebodyRespiratory Diseases Department,Public Health England,Colindale,London,UK.

Funding

Department of Health PDF-2013-06-004Medical Research Council MR/K006584/1
6 · The paper itself

Abstract

The epidemiology of laboratory-confirmed respiratory syncytial virus (RSV) infections in young children has not recently been described in England, and is an essential step in identifying optimal target groups for future licensed RSV vaccines. We used two laboratory surveillance systems to examine the total number and number of positive RSV tests in children aged <5 years in England from 2010 to 2014. We derived odds ratios (ORs) with 95% confidence intervals (CIs) comparing children by birth month, using multivariable logistic regression models adjusted for age, season and sex. Forty-seven percent of RSV tests (29 851/63 827) and 57% (7405/13 034) of positive results in children aged <5 years were in infants aged <6 months. Moreover, 38% (4982/13 034) of positive results were in infants aged <3 months. Infants born in September, October and November had the highest odds of a positive RSV test during their first year of life compared to infants born in January (OR 2·1, 95% CI 1·7-2·7; OR 2·4, 95% CI 2·1-2·8; and OR 2·4, 95% CI 2·1-2·7, respectively). Our results highlight the importance of young age and birth month near the beginning of the RSV season to the risk of laboratory-confirmed RSV infection. Future control measures should consider protection for these groups.

Indexed as

Child, PreschoolEnglandFemaleHumansInfantInfant, NewbornLogistic ModelsMaleOdds RatioRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsSeasonsChildrenEnglandepidemiologylaboratory-confirmedrespiratory syncytial virus

Identifiers

PMID26916807
PMCPMC9150574

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Registered trials

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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.