Evidence map›Paper›PMID 19997618›Full record

ArticlePloS one2009

Hepatitis C virus (HCV) genotype 1 subtype identification in new HCV drug development and future clinical practice.

Stéphane Chevaliez, Magali Bouvier-Alias, Rozenn Brillet, Jean-Michel Pawlotsky

Abstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. KASL clinical practice guidelines: management of hepatitis C.Clinical and molecular hepatology · 2016
    Guideline
  2. KASL clinical practice guidelines: management of hepatitis C.Clinical and molecular hepatology · 2014
    Guideline
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Identifying genotype profile of chronic hepatitis C infection in Southwest Iran.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2020
    Article
  10. Article
  11. Article
  12. Hepatitis C virus deep sequencing for sub-genotype identification in mixed infections: A real-life experience.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. [Expert advices for evaluating clinical trials of direct-acting antiviral agents for hepatitis C].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2016
    Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Stéphane ChevaliezFrench National Reference Center for Viral Hepatitis B, C and delta, Department of Virology, Hôpital Henri Mondor, Université Paris 12, Créteil, France.
Magali Bouvier-Alias
Rozenn Brillet
Jean-Michel Pawlotsky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the development of new specific inhibitors of hepatitis C virus (HCV) enzymes and functions that may yield different antiviral responses and resistance profiles according to the HCV subtype, correct HCV genotype 1 subtype identification is mandatory in clinical trials for stratification and interpretation purposes and will likely become necessary in future clinical practice. The goal of this study was to identify the appropriate molecular tool(s) for accurate HCV genotype 1 subtype determination. METHODOLOGY/PRINCIPAL

findingsA large cohort of 500 treatment-naïve patients eligible for HCV drug trials and infected with either subtype 1a or 1b was studied. Methods based on the sole analysis of the 5' non-coding region (5'NCR) by sequence analysis or reverse hybridization failed to correctly identify HCV subtype 1a in 22.8%-29.5% of cases, and HCV subtype 1b in 9.5%-8.7% of cases. Natural polymorphisms at positions 107, 204 and/or 243 were responsible for mis-subtyping with these methods. A real-time PCR method using genotype- and subtype-specific primers and probes located in both the 5'NCR and the NS5B-coding region failed to correctly identify HCV genotype 1 subtype in approximately 10% of cases. The second-generation line probe assay, a reverse hybridization assay that uses probes targeting both the 5'NCR and core-coding region, correctly identified HCV subtypes 1a and 1b in more than 99% of cases. CONCLUSIONS/SIGNIFICANCE: In the context of new HCV drug development, HCV genotyping methods based on the exclusive analysis of the 5'NCR should be avoided. The second-generation line probe assay is currently the best commercial assay for determination of HCV genotype 1 subtypes 1a and 1b in clinical trials and practice.

Indexed as

Clinical MedicineDrug DesignAntiviral AgentsBase SequenceDNA, IntergenicGenes, ViralGenotypeHepacivirusMicrobiological TechniquesMolecular Sequence DataPhylogenyPolymerase Chain ReactionReagent Kits, DiagnosticRNA-Dependent RNA PolymeraseSequence AlignmentSequence Analysis, DNAAntiviral AgentsDNA, IntergenicNS-5 protein, hepatitis C virusReagent Kits, DiagnosticRNA-Dependent RNA PolymeraseViral Nonstructural Proteins

Identifiers

PMID19997618
PMCPMC2785465

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.