Evidence map›Paper›PMID 12037059›Full record

ArticleJournal of clinical microbiology2002

Evaluation of the VERSANT HCV RNA 3.0 assay for quantification of hepatitis C virus RNA in serum.

Pascale Trimoulet, Philippe Halfon, Eric Pohier, Hacène Khiri, Geneviève Chêne, Hervé Fleury

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 44 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 3 institutions in 2 countries.

Pascale TrimouletLaboratoire de Virologie, Centre Hospitalier Régional et Université Victor Segalen, CHU de Bordeaux, Bordeaux, France. pascale.trimoulet@chu-bordeaux.fr
Philippe Halfon
Eric Pohier
Hacène Khiri
Geneviève Chêne
Hervé Fleury
Alphabio · FRCentre Hospitalier Universitaire de Bordeaux · FRVictor (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed the performance of a new assay (VERSANT HCV RNA 3.0 [bDNA 3.0] assay [Bayer Diagnostics]) to quantitate HCV RNA levels and compared the results of the bDNA 3.0 assay to results of the Quantiplex HCV RNA 2.0 (bDNA 2.0) assay. Samples used in this study included 211 serum specimens from hepatitis C virus (HCV)-infected persons from two sites (Bordeaux and Marseille, France) with different genotypes; 383 serum specimens from HCV antibody-negative, HCV RNA-negative persons; and serial dilutions of World Health Organization (WHO) HCV RNA standard at a titer of 100,000 IU/ml. The specificity of the bDNA 3.0 assay was 98.2%. A high correlation was observed between expected and observed values in all dilutions of WHO standard (r = 0.9982), in serial dilutions of pooled samples (r = 0.9996), and in diluted sera from different HCV genotypes (r = 0.9930 to 0.9995). The standard deviations (SD) for the within-run and between-run reproducibility of the bDNA 3.0 assay were <or=0.2 and <or=0.14, respectively. The intersite SD ranged from 0.03 to 0.14. The bDNA 3.0 assay results were positively correlated with the bDNA 2.0 assay results (r = 0.9533). Taking in account the overall performance, this assay could be used as a routine tool for the HCV RNA quantification.

Indexed as

Branched DNA Signal Amplification AssayHepacivirusHepatitis CHumansReagent Kits, DiagnosticReproducibility of ResultsRNA, ViralSensitivity and SpecificityReagent Kits, DiagnosticRNA, Viral

Identifiers

PMID12037059
PMCPMC130754
OpenAlexW2123326376

What OpenQuestion holds

Textmetadata
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.