Evidence map›Paper›PMID 21643768›Full record

ArticleVirus genes2011

A duplex real-time RT-PCR assay for the simultaneous genogroup-specific detection of noroviruses in both clinical and environmental specimens.

Youngbin Park, You-Hee Cho, Gwangpyo Ko

Abstract read
PubMed Publisher
In one paragraph

Article in Virus genes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Curcumin Shows Antiviral Properties against Norovirus.Molecules (Basel, Switzerland) · 2016
    Article
  4. Human norovirus culture in B cells.Nature protocols · 2015
    Article
  5. Article
  6. Article
  7. 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

3 authors at 1 institution in 1 country.

Youngbin ParkDepartment of Environmental Health and Institute of Health and Environment, School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, South Korea.
You-Hee Cho
Gwangpyo Ko
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Norovirus (NoV) is the major etiological agent causing foodborne and waterborne outbreaks worldwide. We developed a novel duplex real-time quantitative RT-PCR assay designed for the simultaneous detection of and discrimination between NoV genogroups GI and GII, by targeting the short junction region between ORF1 and ORF2, with sensitivity and efficiency comparable to those of each simplex RT-PCR assay. This new duplex assay was evaluated against clinical stool (n = 82) and environmental (groundwater or surface water, n = 60) specimens from South Korea, and the results were compared with those of conventional RT-PCR (cRT-PCR) assays. The duplex assay detected more positive samples than did the cRT-PCR for both clinical (74 vs. 71) and, more strikingly, environmental (24 vs. 10) specimens. No cross-reactivity against specimens containing other enteric viruses such as rotavirus, adenovirus, and poliovirus were observed. These results suggest that this newly developed duplex real-time RT-PCR assay can be used for the sensitive and simultaneous genogroup-specific detection of NoV in both clinical and environmental specimens.

Indexed as

GenotypeReal-Time Polymerase Chain ReactionCaliciviridae InfectionsFecesGastroenteritisHumansMolecular Sequence DataMolecular TypingNorovirusPhylogenyReproducibility of ResultsRNA, ViralSensitivity and SpecificityRNA, Viral

Identifiers

PMID21643768
OpenAlexW2058450641

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.