Evidence map›Paper›PMID 23473714›Full record

ArticleThe Journal of infection2013

Influenza and RSV make a modest contribution to invasive pneumococcal disease incidence in the UK.

Emily J Nicoli, Caroline L Trotter, Katherine M E Turner, Caroline Colijn, Pauline Waight, Elizabeth Miller

Abstract read
In one paragraph

Article in The Journal of infection, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Frontiers in pediatrics · 2023
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  11. Unraveling the seasonal epidemiology of pneumococcus.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

6 authors.

Emily J NicoliSchool of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK. E.Nicoli@bristol.ac.uk
Caroline L Trotter
Katherine M E Turner
Caroline Colijn
Pauline Waight
Elizabeth Miller

Funding

Medical Research Council
6 · The paper itself

Abstract

objectivesThe common seasonality of incidence of invasive pneumococcal disease (IPD) and viral respiratory infections has long been recognized, however, the extent to which this affects the association between the pathogens is unknown. We have analysed weekly surveillance data of IPD, influenza and respiratory syncytial virus (RSV), using ambient temperature and hours of sunshine as measures of seasonality.

methodsReported cases of influenza, IPD and RSV, were collected in England and Wales, from week 1 (January) 1996 to week 23 (June) 2009. The associations between IPD and respiratory viral infections were analysed using several statistical methods, including correlation coefficients and both additive and multiplicative regression models.

results6-7.5% of cases of IPD are attributable to influenza and 3-4% attributable to RSV. Correlation coefficients reported considerably stronger associations between IPD and the viral infections compared to regression models.

conclusionsA small but potentially important percentage of IPD may be attributable to influenza and RSV when adjusted for seasonality by temperature. Jointly these viral infections may lead to over 10% of IPD cases. Therefore, prevention of viral respiratory infections may offer some additional benefit in reducing invasive pneumococcal infections.

Indexed as

AdolescentAdultAgedChildChild, PreschoolEnglandEpidemiological MonitoringHumansIncidenceInfantInfluenza, HumanMiddle AgedPneumococcal InfectionsRegression AnalysisRespiratory Syncytial Virus InfectionsSeasons

Identifiers

PMID23473714
PMCPMC3650581

What OpenQuestion holds

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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.