Evidence map›Paper›PMID 31673696›Full record

ArticleAmerican journal of epidemiology2020

Influenza Vaccine Effectiveness in the Inpatient Setting: Evaluation of Potential Bias in the Test-Negative Design by Use of Alternate Control Groups.

Hannah E Segaloff, Bonnie Cheng, Andrew V Miller, Joshua G Petrie, Ryan E Malosh, Caroline Cheng, Adam S Lauring, Lois E Lamerato, Jill M Ferdinands, Arnold S Monto and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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.

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 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  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

11 authors at 3 institutions in 1 country.

Hannah E SegaloffDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Bonnie ChengDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Andrew V MillerDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Joshua G PetrieDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Ryan E MaloshDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Caroline ChengDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Adam S LauringDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan.
Lois E LameratoDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan.
Jill M FerdinandsInfluenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.
Arnold S MontoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Emily T MartinDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
University of Michigan–Ann Arbor · USCenters for Disease Control and Prevention · USHenry Ford Hospital · US

Funding

Core_plus_Option_A_B_Proposal for Influenza Vaccine Effectiveness ResearchU01IP000474 · IP · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MONTO, ARNOLD S · 2011 to 2015
$6.2M
US Hospital Vaccine Effectiveness (VE) Network - SupplementU01IP000974 · IP · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MONTO, ARNOLD S · 2015 to 2019
$4.5M
NCIRD CDC HHS U01 IP000474NCIRD CDC HHS U01 IP000974
6 · The paper itself

Abstract

The test-negative design is validated in outpatient, but not inpatient, studies of influenza vaccine effectiveness. The prevalence of chronic pulmonary disease among inpatients can lead to nonrepresentative controls. Test-negative design estimates are biased if vaccine administration is associated with incidence of noninfluenza viruses. We evaluated whether control group selection and effects of vaccination on noninfluenza viruses biased vaccine effectiveness in our study. Subjects were enrolled at the University of Michigan and Henry Ford hospitals during the 2014-2015 and 2015-2016 influenza seasons. Patients presenting with acute respiratory infection were enrolled and tested for respiratory viruses. Vaccine effectiveness was estimated using 3 control groups: negative for influenza, positive for other respiratory virus, and pan-negative individuals; it was also estimated for other common respiratory viruses. In 2014-2015, vaccine effectiveness was 41.1% (95% CI: 1.7, 64.7) using influenza-negative controls, 24.5% (95% CI: -42.6, 60.1) using controls positive for other virus, and 45.8% (95% CI: 5.7, 68.9) using pan-negative controls. In 2015-2016, vaccine effectiveness was 68.7% (95% CI: 44.6, 82.5) using influenza-negative controls, 63.1% (95% CI: 25.0, 82.2) using controls positive for other virus, and 71.1% (95% CI: 46.2, 84.8) using pan-negative controls. Vaccination did not alter odds of other respiratory viruses. Results support use of the test-negative design among inpatients.

Indexed as

Influenza VaccinesAdultAgedBiasCase-Control StudiesChronic DiseaseFemaleHospitalizationHumansIncidenceInfluenza, HumanInpatientsMaleMichiganMiddle AgedPicornaviridae InfectionsInfluenza Vaccineshospitalizationinfluenzatest-negative designvaccine effectiveness

Identifiers

PMID31673696
PMCPMC8567846
OpenAlexW2986820291

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.