Evidence map›Paper›PMID 31666364›Full record

ArticleJournal of clinical microbiology2019

Metagenomic Nanopore Sequencing of Influenza Virus Direct from Clinical Respiratory Samples.

Kuiama Lewandowski, Yifei Xu, Steven T Pullan, Sheila F Lumley, Dona Foster, Nicholas Sanderson, Alison Vaughan, Marcus Morgan, Nicole Bright, James Kavanagh and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 2 pooled it
14.5field-weighted citation impact, top 1% 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

101 citing papers in PubMed, 2 syntheses or guidelines pooled it, 170 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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41 more citing papers are in PubMed but not listed here.

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

20 authors at 3 institutions in 1 country.

Kuiama Lewandowski *Public Health England, National infection Service, Porton Down, Salisbury, United Kingdom.
Yifei Xu *Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Steven T Pullan *Public Health England, National infection Service, Porton Down, Salisbury, United Kingdom steven.pullan@phe.gov.uk.
Sheila F LumleyDepartment of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Dona FosterNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Nicholas SandersonNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Alison VaughanNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Marcus MorganDepartment of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Nicole BrightNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
James KavanaghNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Richard VipondPublic Health England, National infection Service, Porton Down, Salisbury, United Kingdom.
Miles CarrollPublic Health England, National infection Service, Porton Down, Salisbury, United Kingdom.
Anthony C MarriottPublic Health England, National infection Service, Porton Down, Salisbury, United Kingdom.
Karen E GoochPublic Health England, National infection Service, Porton Down, Salisbury, United Kingdom.
Monique AnderssonDepartment of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Katie JefferyDepartment of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Timothy E A PetoNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Derrick W CrookNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
A Sarah WalkerNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
Philippa C MatthewsDepartment of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headington, Oxford, United Kingdom.
John Radcliffe Hospital · GBUniversity of Oxford · GBPublic Health England · GB

Funding

Wellcome Trust 110110
6 · The paper itself

Abstract

Influenza is a major global public health threat as a result of its highly pathogenic variants, large zoonotic reservoir, and pandemic potential. Metagenomic viral sequencing offers the potential for a diagnostic test for influenza virus which also provides insights on transmission, evolution, and drug resistance and simultaneously detects other viruses. We therefore set out to apply the Oxford Nanopore Technologies sequencing method to metagenomic sequencing of respiratory samples. We generated influenza virus reads down to a limit of detection of 10

Indexed as

MetagenomicsNanopore SequencingComputational BiologyEnglandGenome, ViralHigh-Throughput Nucleotide SequencingHumansInfluenza, HumanOrthomyxoviridaePhylogenyRNA, ViralRNA VirusesRNA, ViraldiagnosisdiagnosticsDNA sequencingepidemiologyinfluenzametagenomicmetagenomicsmolecular epidemiologyNanoporesequencing

Identifiers

PMID31666364
PMCPMC6935926
OpenAlexW2981810157

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.