Evidence map›Paper›PMID 27018720›Full record

ArticleEpidemiology and infection2016

Quantifying homologous and heterologous antibody titre rises after influenza virus infection.

G Freeman, R A P M Perera, E Ngan, V J Fang, S Cauchemez, D K M Ip, J S M Peiris, B J Cowling

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 19 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

8 authors at 2 institutions in 2 countries.

G FreemanWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
R A P M PereraWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
E NganWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
V J FangWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
S CauchemezMathematical Modelling of Infectious Diseases Unit,Institut Pasteur,Paris.
D K M IpWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
J S M PeirisWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
B J CowlingWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
University of Hong Kong · HKInstitut Pasteur · FR

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
NIAID NIH HHS HHSN266200700005CNIAID NIH HHS N01 AI070005NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

Most influenza virus infections are associated with mild disease. One approach to estimate the occurrence of influenza virus infections in individuals is via repeated measurement of humoral antibody titres. We used baseline and convalescent antibody titres measured by haemagglutination inhibition (HI) and viral neutralization (VN) assays against influenza A(H1N1), A(H3N2) and B viruses to investigate the characteristics of antibody rises following virologically confirmed influenza virus infections in participants in a community-based study. Multivariate models were fitted in a Bayesian framework to characterize the distribution of changes in antibody titres following influenza A virus infections. In 122 participants with PCR-confirmed influenza A virus infection, homologous antibody titres rose by geometric means of 1·2- to 10·2-fold after infection with A(H1N1), A(H3N2) and A(H1N1)pdm09. Significant cross-reactions were observed between A(H1N1)pdm09 and seasonal A(H1N1). Antibody titre rises for some subtypes and assays varied by age, receipt of oseltamivir treatment, and recent receipt of influenza vaccination. In conclusion, we provided a quantitative description of the mean and variation in rises in influenza virus antibody titres following influenza virus infection. The multivariate patterns in boosting of antibody titres following influenza virus infection could be taken into account to improve estimates of cumulative incidence of infection in seroepidemiological studies.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAntibodies, ViralAntiviral AgentsBayes TheoremChildChild, PreschoolFemaleHong KongHumansIncidenceInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeAntibodies, ViralAntiviral AgentsAntibodyepidemiologyinfluenzaserology

Identifiers

PMID27018720
PMCPMC5530596
OpenAlexW2315647989

What OpenQuestion holds

Textmetadata
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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.