Evidence map›Paper›PMID 26733989›Full record

ArticleFrontiers in microbiology2015

Evolution of 2014/15 H3N2 Influenza Viruses Circulating in US: Consequences for Vaccine Effectiveness and Possible New Pandemic.

Veljko Veljkovic, Slobodan Paessler, Sanja Glisic, Jelena Prljic, Vladimir R Perovic, Nevena Veljkovic, Matthew Scotch

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
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  5. Article
  6. Optimizing the impact of low-efficacy influenza vaccines.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  7. Review
  8. Article
  9. Article
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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

7 authors.

Veljko VeljkovicCenter for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade Belgrade, Serbia.
Slobodan PaesslerGalveston National Laboratory, Department of Pathology, University of Texas Medical Branch Galveston, TX, USA.
Sanja GlisicCenter for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade Belgrade, Serbia.
Jelena PrljicCenter for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade Belgrade, Serbia.
Vladimir R PerovicCenter for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade Belgrade, Serbia.
Nevena VeljkovicCenter for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade Belgrade, Serbia.
Matthew ScotchDepartment of Biomedical Informatics, Arizona State UniversityScottsdale, AZ, USA; Center for Environmental Security, Biodesign Institute and Global Security Initiative, Arizona State UniversityTempe, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key factor in the effectiveness of the seasonal influenza vaccine is its immunological compatibility with the circulating viruses during the season. Here we propose a new bioinformatics approach for analysis of influenza viruses which could be used as an efficient tool for selection of vaccine viruses, assessment of the effectiveness of seasonal influenza vaccines, and prediction of the epidemic/pandemic potential of novel influenza viruses.

Indexed as

H3N2influenza viruspandemic potentialphylogenetic analysisseasonal influenza vaccine effectiveness

Identifiers

PMID26733989
PMCPMC4686605

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.