Evidence map›Paper›PMID 28857677›Full record

ArticleHuman vaccines & immunotherapeutics2018

Is seasonal vaccination a contributing factor to the selection of influenza epidemic variants?

Yong Chong, Hideyuki Ikematsu

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  5. 100 years since the 1918 influenza pandemic.Human vaccines & immunotherapeutics · 2018
    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

2 authors at 1 institution in 1 country.

Yong Chonga Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences , Fukuoka , Japan.
Hideyuki Ikematsub Influenza Study Group, Japan Physicians Association , Fukuoka , Japan.
Kyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza A/H3N2 viruses are the most common and virulent subtypes for humans. Antigenic drift, changes in antigenicity through the accumulation of mutations in the hemagglutinin (HA) gene is chiefly responsible for the continuing circulation of A/H3N2 viruses, resulting in frequent updates of vaccine strains based on new variant analyses. In humans, these drift-related mutations are considered to be primarily caused by the immune pressure elicited by natural infection. Whether or not the immune pressure elicited by vaccination (vaccine pressure) can have a certain effect on drift-related mutations is unclear. Recently, our findings suggested the possible effect of vaccine pressure on HA mutations by directly comparing amino acid differences from the corresponding vaccine strains between isolates from vaccinated and unvaccinated patients. It is possible that influenza vaccine pressure selects variants genetically distant from the vaccine strains. Considering the effect of vaccine pressure on HA mutations would contribute to further understanding the mechanism of antigenic drift, which would be helpful for predicting future epidemic viruses.

Indexed as

Amino AcidsAntibodies, ViralAntigenic VariationAntigens, ViralHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H3N2 SubtypeInfluenza, HumanInfluenza VaccinesSeasonsVaccinationAmino AcidsAntibodies, ViralAntigens, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza Vaccinesantigenic drifthemagglutininmutationInfluenzavaccinationvaccine pressure

Identifiers

PMID28857677
PMCPMC5861807
OpenAlexW2753720457

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.