Evidence map›Paper›PMID 29045064›Full record

ArticleInfluenza and other respiratory viruses2018

Epidemiology and burden of influenza in the U.S. Department of Veterans Affairs.

Cynthia Lucero-Obusan, Patricia L Schirmer, Aaron Wendelboe, Gina Oda, Mark Holodniy

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors.

Cynthia Lucero-ObusanDepartment of Veterans Affairs, Office of Quality, Safety and Value, Public Health Surveillance and Research, Palo Alto, CA, USA.ORCID 0000-0003-4378-5293
Patricia L SchirmerDepartment of Veterans Affairs, Office of Quality, Safety and Value, Public Health Surveillance and Research, Palo Alto, CA, USA.
Aaron WendelboeDepartment of Veterans Affairs, Office of Quality, Safety and Value, Public Health Surveillance and Research, Palo Alto, CA, USA.
Gina OdaDepartment of Veterans Affairs, Office of Quality, Safety and Value, Public Health Surveillance and Research, Palo Alto, CA, USA.
Mark HolodniyDepartment of Veterans Affairs, Office of Quality, Safety and Value, Public Health Surveillance and Research, Palo Alto, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe influenza activity in the US Veterans Affairs (VA) population for the 2010-2011 through 2015-2016 seasons and compare with national CDC FluView data. VA confirmed influenza cases ranged from 1005 to 11 506 per season; triage calls from 6090 to 10 346; outpatient visits from 3849 to 13 406; antiviral prescriptions from 3650 to 32 826; hospitalizations from 546 to 4673; and deaths in hospitalized patients from 17 to 139. Peak activity was generally the same as observed nationally by the CDC. For the seasons analyzed, correlation between VA and CDC %ILI visits (r = .863), influenza hospitalizations (r = .953), positive tests (r = .948), and percent of tests positive (r = .938) was strong. Understanding influenza burden is important for evaluating prevention priorities and resource allocation within VA.

Indexed as

Cost of IllnessVeteransAgedAmbulatory CareAntiviral AgentsFemaleHospitalizationHumansInfluenza, HumanMaleMiddle AgedSurvival AnalysisUnited StatesAntiviral Agentsburden of illnessepidemiologyinfluenzapublic health surveillanceveterans

Identifiers

PMID29045064
PMCPMC5820422

What OpenQuestion holds

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LicenceCC BY
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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.