Evidence map›Paper›PMID 20335413›Full record

ArticleJournal of clinical microbiology2010

Performance characteristics of the MultiCode-RTx hepatitis C virus load test targeting the 3' untranslated region.

Ruan T Ramjit, Jessica Ingersoll, Deborah Abdul-Ali, Mona Frempong, Angela M Caliendo

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Ruan T RamjitDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, and Clinical Laboratories, H180, Emory University Hospital, 1364 Clifton Road, Atlanta, GA 30322, USA.
Jessica Ingersoll
Deborah Abdul-Ali
Mona Frempong
Angela M Caliendo
Emory University · US

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
NIAID NIH HHS P30 AI050409
6 · The paper itself

Abstract

Viral load testing for hepatitis C virus (HCV) RNA has become a key parameter in the diagnosis of infection and treatment monitoring. This study evaluated the performance characteristics of the MultiCode-RTx HCV assay (MultiCode; EraGen Biosciences, Inc., Madison, WI), a real-time PCR test targeting the 3' untranslated region (UTR) of the HCV genome, compared to the TaqMan HCV load ASR assay (TaqMan; Roche Diagnostics, Indianapolis, IN) that targets the 5' UTR. For plasma specimens, the MultiCode assay had a limit of detection of 2.3 log10 IU/ml and a linear range of at least 6.7 log10 IU/ml. Comparison of plasma viral loads obtained by the MultiCode and TaqMan tests showed that they were in very close agreement (mean difference, -0.1 log10 IU/ml). No genotype bias was observed for genotypes 1, 2, and 3. When the MultiCode assay was evaluated with the MagNA Pure and easyMAG extraction methods, the viral loads for the easyMAG extraction were consistently higher for all specimens tested (mean difference, 0.45 log10 IU/ml). Aside from the limit of detection, the performance characteristics of the MultiCode assay were similar to the TaqMan assay for the clinical application of HCV load testing.

Indexed as

3' Untranslated RegionsHepacivirusHepatitis CHumansReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityViral Load3' Untranslated RegionsRNA, Viral

Identifiers

PMID20335413
PMCPMC2863932
OpenAlexW2166728707

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.