Evidence map›Paper›PMID 21887318›Full record

ArticlePloS one2011

Evolutionary pathways of the pandemic influenza A (H1N1) 2009 in the UK.

Monica Galiano, Paul-Michael Agapow, Catherine Thompson, Steven Platt, Anthony Underwood, Joanna Ellis, Richard Myers, Jonathan Green, Maria Zambon

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  15. Increased transmissibility explains the third wave of infection by the 2009 H1N1 pandemic virus in England.Proceedings of the National Academy of Sciences of the United States of America · 2013
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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

9 authors.

Monica GalianoCentre for Infections, Health Protection Agency, London, United Kingdom. Monica.Galiano@hpa.org.uk
Paul-Michael Agapow
Catherine Thompson
Steven Platt
Anthony Underwood
Joanna Ellis
Richard Myers
Jonathan Green
Maria Zambon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of the influenza (H1N1) 2009 virus provided a unique opportunity to study the evolution of a pandemic virus following its introduction into the human population. Virological and clinical surveillance in the UK were comprehensive during the first and second waves of the pandemic in 2009, with extensive laboratory confirmation of infection allowing a detailed sampling of representative circulating viruses. We sequenced the complete coding region of the haemagglutinin (HA) segment of 685 H1N1 pandemic viruses selected without bias during two waves of pandemic in the UK (April-December 2009). Phylogenetic analysis showed that although temporal accumulation of amino acid changes was observed in the HA sequences, the overall diversity was less than that typically seen for seasonal influenza A H1N1 or H3N2. There was co-circulation of multiple variants as characterised by signature amino acid changes in the HA. A specific substitution (S203T) became predominant both in UK and global isolates. No antigenic drift occurred during 2009 as viruses with greater than four-fold reduction in their haemagglutination inhibition (HI) titre ("low reactors") were detected in a low proportion (3%) and occurred sporadically. Although some limited antigenic divergence in viruses with four-fold reduction in HI titre might be related to the presence of 203T, additional studies are needed to test this hypothesis.

Indexed as

Biological EvolutionInfluenza, HumanAmino Acid SequenceGenetic VariationHemagglutininsHumansInfluenza A Virus, H1N1 SubtypePandemicsPhylogenyUnited KingdomHemagglutinins

Identifiers

PMID21887318
PMCPMC3161082

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Registered trials

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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.