Evidence map›Paper›PMID 29253705›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2018

Hepatitis C virus deep sequencing for sub-genotype identification in mixed infections: A real-life experience.

José A Del Campo, Manuel Parra-Sánchez, Blanca Figueruela, Silvia García-Rey, Josep Quer, Josep Gregori, Samuel Bernal, Lourdes Grande, José C Palomares, Manuel Romero-Gómez

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2018. 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
–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

7 citing papers in PubMed.

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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

10 authors.

José A Del CampoUCM Digestive Diseases, Valme University Hospital, Seville, Spain; Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain. Electronic address: jantonio.delcampo@ciberehd.org.
Manuel Parra-SánchezUCM Infectious Diseases and Microbiology, Valme University Hospital, Seville, Spain.
Blanca FigueruelaUCM Digestive Diseases, Valme University Hospital, Seville, Spain.
Silvia García-ReyUCM Infectious Diseases and Microbiology, Valme University Hospital, Seville, Spain.
Josep QuerCentro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain; Liver Unit, Liver Disease Laboratory - Viral Hepatitis, Internal Medicine Department, Vall d'Hebron Institut Recerca (VHIR-HUVH), Universitat Autonoma Barcelona, Barcelona, Spain.
Josep GregoriCentro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain; Liver Unit, Liver Disease Laboratory - Viral Hepatitis, Internal Medicine Department, Vall d'Hebron Institut Recerca (VHIR-HUVH), Universitat Autonoma Barcelona, Barcelona, Spain; Roche Diagnostics SL, Sant Cugat del Vallès, Barcelona, Spain.
Samuel BernalUCM Infectious Diseases and Microbiology, Valme University Hospital, Seville, Spain.
Lourdes GrandeUCM Digestive Diseases, Valme University Hospital, Seville, Spain.
José C PalomaresUCM Infectious Diseases and Microbiology, Valme University Hospital, Seville, Spain.
Manuel Romero-GómezCentro de Investigación Biomédica en Red (CIBER) de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, Madrid, Spain; Hospital Universitario Virgen del Rocío, Instituto de Investigación Biomédica de Sevilla (IBiS), Seville, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effectiveness of the new generation of hepatitis C treatments named direct-acting antiviral agents (DAAs) depends on the genotype, subtype, and resistance-associated substitutions present in individual patients. The aim of this study was to evaluate a massive sequencing platform for the analysis of genotypes and subtypes of hepatitis C virus (HCV) in order to optimize therapy.

methodsA total of 84 patients with hepatitis C were analyzed. The routine genotyping methodology for HCV used at the study institution (Versant HCV Assay, LiPA) was compared with a deep sequencing platform (454/GS-Junior and Illumina MiSeq).

resultsThe mean viral load in these HCV patients was 6.89×10

conclusionsThe detection of mixed infection could explain some treatment failures. Accurate determination of viral genotypes and subtypes would allow optimal patient management and improve the effectiveness of DAA therapy.

Indexed as

AdultCoinfectionFemaleGenotypeHepacivirusHepatitis CHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedSequence Analysis, DNAViral LoadViral Nonstructural ProteinsViral Nonstructural ProteinsDeep sequencingDirect-acting antiviralsHCVMixed infectionNGS

Identifiers

PMID29253705
PMCPMC5812776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.