Evidence map›Paper›PMID 39283072›Full record

ArticleJournal of clinical microbiology2024

Comparison of a dual antibody and antigen HCV immunoassay to standard of care algorithmic testing.

Tina I Bui, Abigail P Brown, Meghan Brown, Sydney Lawless, Brittany Roemmich, Neil W Anderson, Christopher W Farnsworth

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Tina I BuiDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA.ORCID 0000-0002-4110-3263
Abigail P BrownDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA.
Meghan BrownDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA.
Sydney LawlessDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA.
Brittany RoemmichDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA.
Neil W AndersonDepartment of Pathology, University Hospitals Health System, Cleveland, Ohio, USA.ORCID 0000-0002-2805-2174
Christopher W FarnsworthDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, USA.ORCID 0000-0001-7169-3850

Funding

Roche Holding | Roche Diagnostics (Roche Diagnostics Corporation) N/A
6 · The paper itself

Abstract

The Centers for Disease Control and Prevention (CDC) guidelines for hepatitis C virus (HCV) testing, although effective, may miss crucial diagnostic opportunities. The goal of this study was to assess the utility of an antibody (Ab) and antigen (Ag) combination immunoassay as an alternative to traditional HCV screening. Remnant specimens from 1,341 patients with concurrent third-generation serologic (Roche anti-HCV-II) and nucleic acid amplification testing (NAAT) were assessed using the HCV Duo Ab/Ag immunoassay (Roche). Patient demographics, risk factors, and standard of care (SOC) laboratory results from the medical records were recorded. Overall, 99.0% (197/199) of the HCV Duo Ab+/Ag+specimens accurately identified active infections as confirmed by NAAT, and 99.9% (670/671) Ab-/Ag- samples corresponded to those without HCV infections. Individually, the HCV Duo Ab component demonstrated a 95.6% positive percent agreement (PPA) (95% CI = 93.8-96.9) and 99.1% negative percent agreement (NPA) (98.8-99.6) compared with SOC anti-HCV II Ab assay. The HCV Duo Ag had a 73.5% PPA (67.9-78.4) and 99.8% NPA (99.3-100) with NAAT. Among RNA+ specimens, 73.4% (197/267) were HCV Duo Ag+, and 265/267 (99.3%) were successfully detected on the HCV Duo Ab component. Notably, 5/7 (71.4%) Ab-/RNA +specimens were detected by HCV Duo, which would have been missed by traditional algorithmic testing. Fourth generation HCV Duo Ab/Ag assay demonstrated comparable performance to SOC testing and shortens the diagnostic window but does not eliminate the need for NAAT in all patients. Ab/Ag testing identified several Ab-/RNA+ cases, a subgroup often undiagnosed by current algorithmic testing, demonstrating promise for improved diagnostic efficiency and accuracy in HCV detection.IMPORTANCEThis study highlights the potential of a combined hepatitis C virus (HCV) Duo antibody (Ab) and antigen (Ag) immunoassay to improve early detection of HCV infections. Traditional Ab-only screening methods recommended by the Centers for Disease Control and Prevention may miss early-stage infections. The HCV Duo assay showed high accuracy, detecting nearly all active infections confirmed by nucleic acid amplification testing. Dual detection of HCV Ab and Ag shortens the diagnostic window, enabling intervention and treatment in a single visit, which is crucial for improving patient outcomes and reducing HCV transmission, especially in areas with limited access to confirmatory molecular testing.

Indexed as

AlgorithmsHepatitis CHepatitis C AntibodiesHepatitis C AntigensAdultAgedAged, 80 and overFemaleHepacivirusHumansImmunoassayMaleMiddle AgedNucleic Acid Amplification TechniquesSensitivity and SpecificityStandard of CareHepatitis C AntibodiesHepatitis C Antigensdiagnostic testshepatitis Chepatitis C antibodyhepatitis C antigenimmunoassay

Identifiers

PMID39283072
PMCPMC11481485

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.