Evidence map›Paper›PMID 30021826›Full record

ArticleJournal of clinical microbiology2018

Monitoring Viral Genetic Variation as a Tool To Improve Molecular Diagnostics for Mumps Virus.

Meik Dilcher, Kevin Barratt, Jennifer Douglas, Andrew Strathdee, Trevor Anderson, Anja Werno

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Genomic characterization of mumps viruses from a large-scale mumps outbreak in Arkansas, 2016.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2019
    Article
  9. 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

6 authors.

Meik DilcherMicrobiology Department, Virology/Serology Section, Canterbury Health Laboratories, Christchurch, New Zealand.
Kevin BarrattMicrobiology Department, Virology/Serology Section, Canterbury Health Laboratories, Christchurch, New Zealand.
Jennifer DouglasMicrobiology Department, Virology/Serology Section, Canterbury Health Laboratories, Christchurch, New Zealand.
Andrew StrathdeeMicrobiology Department, Virology/Serology Section, Canterbury Health Laboratories, Christchurch, New Zealand.
Trevor AndersonMicrobiology Department, Virology/Serology Section, Canterbury Health Laboratories, Christchurch, New Zealand.
Anja WernoMicrobiology Department, Virology/Serology Section, Canterbury Health Laboratories, Christchurch, New Zealand Anja.Werno@cdhb.health.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we report how the analysis of viral genetic variation using next-generation sequencing (NGS) can be used as a tool to improve mumps virus diagnostics. Analysis of NGS data from recently circulating mumps virus isolates allowed optimization of the current mumps virus real-time reverse transcription-PCR (RT-PCR) by primer and probe modifications due to nucleotide variations. The modified assay showed a higher efficiency and sensitivity than the previously used CDC protocol for the detection of currently circulating mumps virus strains and could therefore offer better support for outbreak control. The NGS sequence data were also used to make predictions of changes in the hemagglutinin-neuraminidase protein structure that could explain possible immune escape mechanisms.

Indexed as

Genetic VariationGenome, ViralGenotypeHigh-Throughput Nucleotide SequencingHumansModels, MolecularMolecular Diagnostic TechniquesMumpsMumps virusPhylogenyRNA, ViralSequence Analysis, RNAViral ProteinsRNA, ViralViral Proteinsgenotypemolecular homology modellingmumps virusnext-generation sequencingreal-time RT-PCRvaccines

Identifiers

PMID30021826
PMCPMC6156297

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.