Evidence map›Paper›PMID 27821091›Full record

ArticleBMC infectious diseases2016

Model estimates of the burden of outpatient visits attributable to influenza in the United States.

Gonçalo Matias, François Haguinet, Roger L Lustig, Laurel Edelman, Gerardo Chowell, Robert J Taylor

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02019732 (Burden of Mild Outcomes Due to Influenza in the United States, July 2000 Through April 2009 and October 2010 to May 2011), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.1field-weighted citation impact, top 6% 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.

NCT02019732 completednot on this map

Burden of Mild Outcomes Due to Influenza in the United States, July 2000 Through April 2009 and October 2010 to May 2011

TypeobservationalSponsorGlaxoSmithKlineRan2013 to 2013Enrolled1ConditionsInfluenzaArmsData collection
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  14. Poor Immunogenicity, Not Vaccine Strain Egg Adaptation, May Explain the Low H3N2 Influenza Vaccine Effectiveness in 2012-2013.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. US healthcare costs attributable to type A and type B influenza.Human vaccines & immunotherapeutics · 2017
    Article
  20. 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

6 authors at 3 institutions in 2 countries.

Gonçalo MatiasGSK Vaccines, Avenue Fleming 20, Parc de la Noire Epine, Wavre, Belgium. goncalo.x.matias@gsk.com.
François HaguinetGSK Vaccines, Avenue Fleming 20, Parc de la Noire Epine, Wavre, Belgium.
Roger L LustigSage Analytica, 4915 St. Elmo Ave., Suite 205, Bethesda, MD, 20814, USA.
Laurel EdelmanSymphony Health Solutions, Suite 100, 550 Blair Mill Road, Horsham, PA, 19044, USA.
Gerardo ChowellSchool of Public Health, Georgia State University, Atlanta, GA, USA.
Robert J TaylorSage Analytica, 4915 St. Elmo Ave., Suite 205, Bethesda, MD, 20814, USA.
GlaxoSmithKline (Belgium) · BEFilm Independent · USGeorgia State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many studies have modelled the national burdens of hospitalizations and deaths due to influenza, few studies have considered the outpatient burden. To fill this gap for the United States (US), we applied traditional statistical modelling approaches to time series derived from large medical claims databases held in the private sector.

methodsWe accessed ICD-9-coded office visit data extracted from Truven Health Analytics' MarketScan Commercial database covering about one third of the US population <65 years during 2001-2009, and Medicare Supplemental data covering about one fifth of US seniors 65+ during 2006-2009. We extracted weekly time series of visits due to respiratory diagnoses, otitis media (OM), and urinary tract infections (UTI), a "negative control". We used multiple linear regression modelling to estimate age-specific influenza-related excess in office visits.

resultsIn the <65 year age group, in the 8 pre-pandemic seasons studied and for the broadest defined respiratory outcome, the model attributed an average of ~14.5 M (Standard deviation [SD] across seasons 3.9 million) office visits to influenza (rate of 5,581/100,000 population). Of these, ~80 % of visits occurred in the 5-17 and 18-49 age group. In school children aged 5-17 year olds and adult 18-64 year age groups the majority of visits were due to influenza B, while A/H3N2 explained most visits in children <5 year olds. The model further attributed ~2.2 M OM visits (SD across seasons 790,000) annually to influenza, of which 86 % of these occurred in children <18 years; this indicates that 6.4 % of all infants <2 years and 4.9 % of all toddlers aged 2-4 years in the US have an influenza-attributable outpatient visit with an OM diagnosis. In seniors 65 years and older, our model attributed ~0.7 M (SD across seasons 351,000) respiratory visits to influenza (rate of 1,887/100,000 population). The model identified no significant excess UTI (negative control) visits in most seasons.

conclusionsThis is to our knowledge a first study of the outpatient burden of influenza in the US in a large database. The model estimated that 10 % of all children <18 years and 4 % of the entire population <65 years seek outpatient care for respiratory illness attributable to influenza annually.

trial registrationClinicalTrial.gov, NCT02019732 .

Indexed as

AdolescentAdultAgedAmbulatory CareChildChild, PreschoolFemaleHospitalizationHumansIncidenceInfantInfluenza, HumanLinear ModelsMaleMiddle AgedOffice VisitsBurden of diseaseGeneral practiceInfluenzaMathematical model

Identifiers

PMID27821091
PMCPMC5100308
OpenAlexW2554648607

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.