Evidence map›Paper›PMID 29664931›Full record

ArticlePloS one2018

Factors associated with influenza vaccination failure and severe disease in a French region in 2015.

Julien Marlet, Catherine Gaudy-Graffin, Daniel Marc, Ronan Boennec, Alain Goudeau

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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 at 1 institution in 1 country.

Julien MarletFrench National Institute of Health and Medical Research INSERM U1259, Tours, France.ORCID 0000-0002-8645-8703
Catherine Gaudy-GraffinFrench National Institute of Health and Medical Research INSERM U1259, Tours, France.
Daniel MarcAvian Immune Response and Pathogenesis, French National Institute for Agricultural Research INRA, Nouzilly, France.
Ronan BoennecUniversity of Tours, Tours, France.
Alain GoudeauFrench National Institute of Health and Medical Research INSERM U1259, Tours, France.
Université de Tours · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current influenza vaccination strategy is based on limited analyses of circulating strains and has some drawbacks, as illustrated during the 2014-2015 season with the circulation of A(H3N2) viruses belonging to divergent genetic subgroups. We reasoned that these strains, poorly neutralized in vitro, may have been associated with vaccination failure and more severe diseases. We conducted a study on a continuous series of 249 confirmed influenza infections. Incidence was three fold greater than in the previous three years. Most isolates were A(H3N2) viruses (78%) and clustered in subgroups 3C.2a (57%) and 3C.3b (43%). We identified 23 non-synonymous mutations that had already been identified during previous seasons at low frequencies, except mutation Q197H, present in 26% of 3C.3b isolates. We identified lung disorder, tobacco smoking and A(H1N1)pdm09 infection as risk factor of severe influenza disease. In contrast, young age (< 5 years), A(H3N2) infection and initial admission to an emergency department were associated with a better outcome of influenza infection.

Indexed as

Severity of Illness IndexAdolescentAdultAgedAge FactorsChildChild, PreschoolFemaleFranceHospitalizationHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanInfluenza VaccinesLung DiseasesInfluenza Vaccines

Identifiers

PMID29664931
PMCPMC5903663
OpenAlexW2795879915

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.