Evidence map›Paper›PMID 18276771›Full record

ArticleThe Journal of molecular diagnostics : JMD2008

Performance characteristics of a quantitative hepatitis C virus RNA assay using COBAS AmpliPrep total nucleic acid isolation and COBAS taqman hepatitis C virus analyte-specific reagent.

Michael S Forman, Alexandra Valsamakis

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Michael S FormanDepartment of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Alexandra Valsamakis

Funding

HIV Prevention Trials Network: Network LaboratoryU01AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2006 to 2010
$16.5M
NIAID NIH HHS U01 AI068613NIAID NIH HHS U01-AI-068613PHS HHS 204VC004
6 · The paper itself

Abstract

Performance characteristics of a hepatitis C virus (HCV) RNA quantification assay comprised automated specimen extraction [COBAS AmpliPrep (CAP) using total nucleic acid isolation reagents (TNAI)], and real-time polymerase chain reaction [COBAS TaqMan 48 HCV with analyte-specific reagents (CTM48)] were determined. CAP TNAI/CTM48 performed linearly from approximately 2.0 to at least 6.7 log10 IU/ml for HCV genotypes (Gts) 1, 2, and 3. The limit of detection for the World Health Organization International Standard was 23 IU/ml. Variabilities ranged from 1.3 to 2.1%. Excellent quantitative agreement was observed in clinical samples using CTM48 and two different methods for HCV RNA extraction (CAP TNAI and BioRobot M48; regression line slope, 0.98; y-intercept, 0.11; R2, 0.98; mean difference, 0.003). Good agreement was also observed between CAP TNAI/CTM48 and COBAS Amplicor Monitor (regression line slope, 0.94; y-intercept, 0.08; R2, 0.96), although HCV RNA concentrations were on average greater by COBAS Amplicor Monitor (mean difference -0.27 log10 IU/ml). Better overall agreement was observed for Gt 1 than non-Gt 1 specimens when comparing extraction and quantification methods; however, no consistent genotype-dependent quantification bias was observed. These data suggest that CAP TNAI/CTM48 offers an alternative method for the quantification of HCV in plasma samples.

Indexed as

Reagent Kits, DiagnosticGenotypeHepacivirusHumansNucleic Acid Amplification TechniquesReference StandardsRNA, ViralSensitivity and SpecificityWorld Health OrganizationReagent Kits, DiagnosticRNA, Viral

Identifiers

PMID18276771
PMCPMC2259469

What OpenQuestion holds

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Registered trials

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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.