Evidence map›Paper›PMID 27278794›Full record

ArticleBMC public health2016

Modelling estimates of age-specific influenza-related hospitalisation and mortality in the United Kingdom.

Gonçalo Matias, Robert J Taylor, François Haguinet, Cynthia Schuck-Paim, Roger L Lustig, Douglas M Fleming

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01520935 (Burden of Influenza in the United Kingdom, 1996-2008), which is not on this map. Cited by 59 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 7 pooled it
7.4field-weighted citation impact, top 2% 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.

NCT01520935 completednot on this map

Burden of Influenza in the United Kingdom, 1996-2008

TypeobservationalSponsorGlaxoSmithKlineRan2011 to 2012Enrolled1ConditionsInfluenzaArmsData collection
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 7 syntheses or guidelines pooled it, 94 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

6 authors at 2 institutions in 2 countries.

Gonçalo MatiasGSK Vaccines, Avenue Fleming 20, Parc de la Noire Epine, Wavre, Belgium. Goncalo.X.Matias@gsk.com.
Robert J TaylorSage Analytica, 4915 St. Elmo Avenue, Suite 205, Bethesda, MD, 20814, USA.
François HaguinetGSK Vaccines, Avenue Fleming 20, Parc de la Noire Epine, Wavre, Belgium.
Cynthia Schuck-PaimSage Analytica, 4915 St. Elmo Avenue, Suite 205, Bethesda, MD, 20814, USA.
Roger L LustigSage Analytica, 4915 St. Elmo Avenue, Suite 205, Bethesda, MD, 20814, USA.
Douglas M FlemingIndependent Consultant, 9 Dowles Close, Birmingham, B29 4LE, UK.
GlaxoSmithKline (Belgium) · BEOldham Council · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza is rarely confirmed with laboratory testing and accurate assessment of the overall burden of influenza is difficult. We used statistical modelling methods to generate updated, granular estimates of the number/rate of influenza-attributable hospitalisations and deaths in the United Kingdom. Such data are needed on a continuing basis to inform on cost-benefit analyses of treatment interventions, including vaccination.

methodsWeekly age specific data on hospital admissions (1997-2009) and on deaths (1997-2009) were obtained from national databases. Virology reports (1996-2009) of influenza and respiratory syncytial virus detections were provided by Public Health England. We used an expanded set of ICD-codes to estimate the burden of illness attributable to influenza which we refer to as 'respiratory disease broadly defined'. These codes were chosen to optimise the balance between sensitivity and specificity. A multiple linear regression model controlled for respiratory syncytial virus circulation, with stratification by age and the presence of comorbid risk status (conditions associated with severe influenza outcomes).

resultsIn the United Kingdom there were 28,516 hospitalisations and 7163 deaths estimated to be attributable to influenza respiratory disease in a mean season, with marked variability between seasons. The highest incidence rates of influenza-attributable hospitalisations and deaths were observed in adults aged 75+ years (252/100,000 and 131/100,000 population, respectively). Influenza B hospitalisations were highest among 5-17 year olds (12/100,000 population). Of all estimated influenza respiratory deaths in 75+ year olds, 50 % occurred out of hospital, and 25 % in 50-64 year olds. Rates of hospitalisations and death due to influenza-attributable respiratory disease were increased in adults identified as at-risk.

conclusionsOur study points to a substantial but highly variable seasonal influenza burden in all age groups, particularly affecting 75+ year olds. Effective influenza prevention or early intervention with anti-viral treatment in this age group may substantially impact the disease burden and associated healthcare costs. The high burden of influenza B hospitalisation among 5-17 year olds supports current United Kingdom vaccine policy to extend quadrivalent seasonal influenza vaccination to this age group.

trial registrationClinicalTrial.gov, NCT01520935.

Indexed as

Cause of DeathHospitalizationRespiratory Syncytial Virus, HumanVaccinationAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolComorbidityFemaleHumansInfantInfant, NewbornInfluenza VaccinesElderlyHospitalisationInfluenzaMortalityRegression analysisTheoretical model

Identifiers

PMID27278794
PMCPMC4898386
OpenAlexW2409973727

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.