Evidence map›Paper›PMID 26427723›Full record

Trial reportEpidemiology (Cambridge, Mass.)2016

Quantifying Protection Against Influenza Virus Infection Measured by Hemagglutination-inhibition Assays in Vaccine Trials.

Xiahong Zhao, Vicky J Fang, Suzanne E Ohmit, Arnold S Monto, Alex R Cook, Benjamin J Cowling

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Epidemiology (Cambridge, Mass.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  9. Review
  10. Influenza Hemagglutination-inhibition Antibody Titer as a Mediator of Vaccine-induced Protection for Influenza B.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  11. Review
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  14. Review
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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 4 institutions in 4 countries.

Xiahong ZhaoFrom the aSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore; bLi Ka Shing Faculty of Medicine, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China; cDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI; and dYale-NUS College, National University of Singapore, Singapore, Singapore.
Vicky J Fang
Suzanne E Ohmit
Arnold S Monto
Alex R Cook
Benjamin J Cowling
University of Hong Kong · HKUniversity of Michigan–Ann Arbor · USNational University Health System · SGNational University of Singapore · SG

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
Comparative Study of Influenza Vaccines in AdultsU01AI057853 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MONTO, ARNOLD S · 2004 to 2006
$4.3M
NIAID NIH HHS U01 AI057853NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

backgroundCorrelations between hemagglutination-inhibition titers (hereafter "titers") and protection against infection have been identified in historical studies. However, limited information is available about the dynamics of how titer influences protection.

methodsTiters were measured in randomized, placebo-controlled vaccine trials in Hong Kong among pediatrics during September 2009-December 2010 and the United States among adults during Oct 2007-April 2008. Intermediate unobserved titers were imputed using three interpolation methods. As participants were recruited at different times leading to varying exposure to infection relative to entry, a modified proportional hazards model was developed to account for staggered entry into the studies and to quantify the correlation of titers with protection against influenza infections, adjusting for waning in titers. The model was fitted using Markov chain Monte Carlo and importance sampling.

resultsA titer of 1:40 was associated with a reduced infection risk of 40%-70% relative to a titer of 1:10, depending on the circulating strain; the corresponding protection associated with a titer of 1:80 was 54%-84%. Results were robust across interpolation methods. The trivalent-inactivated vaccine reduced cumulative incidence of influenza B and influenza A(H3N2) infections by six percentage points (pp; 95% credible interval = 2 pp, 10 pp) and 1 pp (95% credible interval = 0.3 pp, 2 pp) respectively, but not for influenza A(H1N1)pdm09. The live-attenuated vaccine showed little efficacy against influenza A(H3N2) infections.

conclusionsTiters are correlated with protection against influenza infections. The trivalent inactivated vaccine can reduce the risk of influenza A(H3N2) and influenza B infections in the community.

Indexed as

AdolescentAdultChildFemaleHemagglutination Inhibition TestsHong KongHumansIncidenceInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza B virusInfluenza, HumanInfluenza VaccinesMaleMiddle AgedUnited StatesInfluenza Vaccines

Identifiers

PMID26427723
PMCPMC4658669
OpenAlexW2417797578

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.