Evidence map›Paper›PMID 29797818›Full record

ArticleAnnals of laboratory medicine2018

The Role of the Signal-to-Cutoff Ratio in Automated Anti-HCV Chemiluminescent Immunoassays by Referring to the Nucleic Acid Amplification Test and the Recombinant Immunoblot Assay.

Moon Suk Choi, Kyunghoon Lee, Yun Ji Hong, Eun Young Song, Dal Sik Kim, Junghan Song

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 21 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 1 country.

Moon Suk ChoiDepartment of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Kyunghoon LeeDepartment of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Yun Ji HongDepartment of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0001-9163-5017
Eun Young SongDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.
Dal Sik KimDepartment of Laboratory Medicine, Chonbuk National University College of Medicine, Jeonju, Korea.
Junghan SongDepartment of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Seoul National University · KRJeonbuk National University · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing discontinuation of the recombinant immunoblot assay (RIBA), the only available supplementary test for the detection of hepatitis C virus (HCV) is the nucleic acid amplification test (NAAT). However, the NAAT does not adequately detect past HCV. Consequently, it is hard to distinguish between past HCV infection and biological false positivity with an anti-HCV result alone. We assessed the diagnostic performance of two immunoassays: the ARCHITECT anti-HCV chemiluminescent microparticle immunoassay (CMIA; Abbott Diagnostics, Wiesbaden, Germany) and the Access HCV Ab PLUS chemiluminescent immunoassay (CIA; Bio-Rad, Marnes-la-Coquette, France). We also explored an optimized algorithm to determine the anti-HCV results.

methodsWe tested 126,919 patients and 44,556 individuals who underwent a medical checkup. RIBA and NAAT were conducted for samples that tested anti-HCV-positive using CMIA and CIA. We assessed the optimal signal-to-cutoff (S/CO) ratio in HCV-positive samples.

resultsIn total, 1,035 blood samples tested anti-HCV-positive. Of these, RIBA was positive in 512, indeterminate in 160, and negative in 363 samples. One hundred sixty-five samples were NAAT-positive. Diagnostic sensitivity and positive predictive value (PPV) were 96.7% and 52.1%, respectively, for CMIA, and 94.7% and 72.3%, respectively, for CIA. The optimal S/CO ratio was 5.2 for CMIA and 2.6 for CIA at 95% PPV. In total, 286 samples tested positive in CMIA and 444 in CIA, while 443 samples tested positive in both assays.

conclusionsIt is hard to determine anti-HCV positivity based on the S/CO ratio alone. However, this study elucidated the role of the S/CO ratio by using the NAAT and RIBA.

Indexed as

ImmunoblottingNucleic Acid Amplification TechniquesFalse Positive ReactionsHepacivirusHepatitis CHepatitis C AntibodiesHumansLuminescent MeasurementsReagent Kits, DiagnosticRetrospective StudiesRNA, ViralSensitivity and SpecificitySignal-To-Noise RatioHepatitis C AntibodiesReagent Kits, DiagnosticRNA, ViralChemiluminescent immunoassayHepatitis C virusNucleic acid amplification testRecombinant immunoblot assaySignal-to-cutoff ratio

Identifiers

PMID29797818
PMCPMC5973922
OpenAlexW2804857594

What OpenQuestion holds

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LicenceCC BY-NC
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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.