Evidence map›Paper›PMID 31239457›Full record

ArticleScientific reports2019

Infection with multiple hepatitis C virus genotypes detected using commercial tests should be confirmed using next generation sequencing.

Belén Fernández-Caso, Jose Ángel Fernández-Caballero, Natalia Chueca, Eukene Rojo, Adolfo de Salazar, Luisa García Buey, Laura Cardeñoso, Federico García

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 14 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

8 authors at 2 institutions in 1 country.

Belén Fernández-CasoServicio de Microbiologia, Hospital Universitario de La Princesa; Instituto de Investigacion Sanitaria La Princesa, Madrid, Spain.
Jose Ángel Fernández-CaballeroUnidad de Gestión Clinica de Microbiologia, Hospital Universitario San Cecilio; Instituto de Investigación Biosanitaria ibs.Granada; Red de Investigación en SIDA, RD16/0025/0040, Granada, Spain.
Natalia ChuecaUnidad de Gestión Clinica de Microbiologia, Hospital Universitario San Cecilio; Instituto de Investigación Biosanitaria ibs.Granada; Red de Investigación en SIDA, RD16/0025/0040, Granada, Spain.
Eukene RojoServicio de Aparato Digestivo - Unidad de Hepatologia, Hospital Universitario de La Princesa; Instituto de Investigacion Sanitaria La Princesa, Madrid, Spain.
Adolfo de SalazarUnidad de Gestión Clinica de Microbiologia, Hospital Universitario San Cecilio; Instituto de Investigación Biosanitaria ibs.Granada; Red de Investigación en SIDA, RD16/0025/0040, Granada, Spain.
Luisa García BueyServicio de Aparato Digestivo - Unidad de Hepatologia, Hospital Universitario de La Princesa; Instituto de Investigacion Sanitaria La Princesa, Madrid, Spain.
Laura CardeñosoServicio de Microbiologia, Hospital Universitario de La Princesa; Instituto de Investigacion Sanitaria La Princesa, Madrid, Spain.
Federico GarcíaUnidad de Gestión Clinica de Microbiologia, Hospital Universitario San Cecilio; Instituto de Investigación Biosanitaria ibs.Granada; Red de Investigación en SIDA, RD16/0025/0040, Granada, Spain. fegarcia@ugr.es.ORCID http://orcid.org/0000-0001-7611-781X
Hospital Universitario de La Princesa · ESRed de Investigación en Sida · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current HCV genotyping methods may have some limitations in detecting mixed infections. We aimed to determine the accuracy of genotyping and the detection of mixed-genotype infections using the Abbott-RealTime HCV Genotype II assay (Abbott-RT-PCR) in comparison with a Roche-Next Generation Sequencing assay (Roche-NGS). Plasma samples collected from 139 HCV-infected patients tested with Abbott-RT-PCR, 114 with single genotype (GT) and 25 with mixed GTs were genotyped using Roche-NGS. Roche-NGS confirmed all single GTs obtained with Abbott-RT-PCR. One case of Abbott GT 4 was found as GT 1a using Roche-NGS. Genotype 5 was confirmed using Roche-NGS in 75% cases (3 out of 4 cases). Twenty-five patients were identified as having mixed HCVinfections using Abbott-RT-PCR. The concordance between Abbott-RT-PCR and Roche-NGS was 76% (19 out of 25 cases). Three mixed-GT infections identified with the Abbott assay (two (1b + 4); one (1a + 3)) were reported as pure 1b using Roche-NGS. Very divergent results were found for the other three samples. When compared to Roche-NGS, Abbott-RT-PCR has performed excellently for the determination of patients infected with single GTs. For patients that are categorized as having a mixed infection using Abbott-RT-PCR, we recommend an NGS assay as a confirmation test.

Indexed as

AdultAgedAged, 80 and overCohort StudiesFemaleGenotypeGenotyping TechniquesHepacivirusHepatitis CHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedReal-Time Polymerase Chain ReactionViral Nonstructural ProteinsViral Nonstructural Proteins

Identifiers

PMID31239457
PMCPMC6592891
OpenAlexW2954772469

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.