Evidence map›Paper›PMID 28657153›Full record

ArticleJournal of clinical laboratory analysis2018

Diagnostic reliability of Architect anti-HCV assay: Experience of a tertiary care hospital in India.

Gnanadurai John Fletcher, Anantharam Raghavendran, Jayashree Sivakumar, Prasanna Samuel, Priya Abraham

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Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Gnanadurai John FletcherDepartment of Clinical Virology, Christian Medical College, Vellore, India.
Anantharam RaghavendranDepartment of Clinical Virology, Christian Medical College, Vellore, India.
Jayashree SivakumarDepartment of Clinical Virology, Christian Medical College, Vellore, India.
Prasanna SamuelDepartment of Bio-statistics, Christian Medical College, Vellore, India.
Priya AbrahamDepartment of Clinical Virology, Christian Medical College, Vellore, India.ORCID http://orcid.org/0000-0002-2873-9101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsAnti-HCV assays are prone to false positive results. Thus, accurate detection of HCV infection is critical for the timely therapeutic management. This study ascertained the reliability of Architect anti-HCV assay (Abbott) and to estimate the agreement of this assay with Ortho HCV 3.0 ELISA Test System with Enhanced SAVe (Ortho), HCV Tri-dot (Tri-dot) and HCV-PCR in a tertiary care setting.

methodsA total of 78 788 consecutive sera were routinely screened for anti-HCV antibodies using Architect. All repeatedly reactive anti-HCV sera (n=1000) and anti-HCV negative sera (n=300) were tested in Ortho and in Tri-dot assays. Representative proportions of sera (n=500) with various signal-to-cut-off (S/Co) ratio were also compared with HCV-PCR.

resultsWhen Architect was compared with Ortho, Tri-dot, and HCV-PCR, the level of agreement as assessed by kappa were .26, .16, and .27 respectively. Using Latent class analysis (LCA), we found that sensitivity and specificity were 100% and 36.1% for Architect, 93.8% and 100% for Ortho and 63.8% and 100% for Tri-dot respectively. The median S/CO ratio of Architect and Ortho anti-HCV assays were significantly different between HCV-PCR positive and negative results (P<.0001). Furthermore, Architect S/CO ratio of >8 showed higher accuracy indices in both anti-HCV assays.

conclusionsArchitect can be used as a screening assay because of its high sensitivity, high throughput, and short turnaround time. However, S/Co ratios of ≥1 to <8 in Architect necessitates HCV PCR to identify current infection and or EIA to distinguish true positivity from false biological positivity.

Indexed as

HepacivirusHepatitis AntibodiesHepatitis CHumansImmunoassayIndiaLuminescent MeasurementsReproducibility of ResultsSensitivity and SpecificityTertiary Care CentersVirologyHepatitis Antibodieschemiluminescent microparticle immunoassayenzyme immunoassayHCV diagnosishepatitis C virus

Identifiers

PMID28657153
PMCPMC6816955

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