Evidence map›Paper›PMID 30319992›Full record

ArticleFrontiers in cellular and infection microbiology2018

Development of a Real-Time Cell Analysis (RTCA) Method as a Fast and Accurate Method for Detecting Infectious Particles of the Adapted Strain of Hepatitis A Virus.

Samuel Lebourgeois, Audrey Fraisse, Catherine Hennechart-Collette, Laurent Guillier, Sylvie Perelle, Sandra Martin-Latil

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Samuel LebourgeoisLaboratory for Food Safety, Université Paris Est, ANSES, Maisons-Alfort, France.
Audrey FraisseLaboratory for Food Safety, Université Paris Est, ANSES, Maisons-Alfort, France.
Catherine Hennechart-ColletteLaboratory for Food Safety, Université Paris Est, ANSES, Maisons-Alfort, France.
Laurent GuillierLaboratory for Food Safety, Université Paris Est, ANSES, Maisons-Alfort, France.
Sylvie PerelleLaboratory for Food Safety, Université Paris Est, ANSES, Maisons-Alfort, France.
Sandra Martin-LatilLaboratory for Food Safety, Université Paris Est, ANSES, Maisons-Alfort, France.
Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis A virus (HAV) is one of the most common agents causing acute liver disease worldwide. HAV has been increasingly reported as the cause of foodborne disease outbreaks. The standard method currently available for detection of the genome of HAV in vulnerable foodstuffs is by RT-qPCR (ISO 15216). Despite its usefulness in the investigation of foodborne viruses, the use of RT-qPCR in food virology has been shown to overestimate the quantity of infectious virus or to highly underestimate the effect of the treatment on virus inactivation. The gold standard methods currently used for evaluating the efficacy of inactivation treatments on the adapted strain of HAV (HM175/18f) are either the plaque assay or the end-point dilution assay (TCID

Indexed as

Electric ImpedanceAnimalsCell LineCell SurvivalCytological TechniquesFood MicrobiologyHepatitis A virusHigh-Throughput Screening AssaysMacaca mulattaTime FactorsViral Loadcell impedancehepatitis A virusinfectious virusquantificationreal-time cell analysis (RTCA) assay

Identifiers

PMID30319992
PMCPMC6167467
OpenAlexW2892651975

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.