Evidence map›Paper›PMID 30027702›Full record

ArticleAnnals of laboratory medicine2018

Development of a Rapid Automated Fluorescent Lateral Flow Immunoassay to Detect Hepatitis B Surface Antigen (HBsAg), Antibody to HBsAg, and Antibody to Hepatitis C.

Ji Hyeong Ryu, Minsuk Kwon, Joung Dae Moon, Min Woong Hwang, Jeong Min Lee, Ki Hyun Park, So Jeong Yun, Hyun Jin Bae, Aeran Choi, Hyeyoung Lee and 5 more

Abstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Current advances in Hepatitis C diagnostics.Journal of biological engineering · 2024
    Review
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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

15 authors.

Ji Hyeong RyuDepartment of Molecular & Cell Biology, Graduate School, The Catholic University of Korea, Seoul, Korea.
Minsuk KwonCentral Lab, R&D Center, Boditech Med, Chungcheon, Korea.
Joung Dae MoonCentral Lab, R&D Center, Boditech Med, Chungcheon, Korea.
Min Woong HwangCentral Lab, R&D Center, Boditech Med, Chungcheon, Korea.
Jeong Min LeeCentral Lab, R&D Center, Boditech Med, Chungcheon, Korea.
Ki Hyun ParkDepartment of Molecular & Cell Biology, Graduate School, The Catholic University of Korea, Seoul, Korea.
So Jeong YunDepartment of Molecular & Cell Biology, Graduate School, The Catholic University of Korea, Seoul, Korea.
Hyun Jin BaeDepartment of Molecular & Cell Biology, Graduate School, The Catholic University of Korea, Seoul, Korea.
Aeran ChoiDepartment of Laboratory Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Hyeyoung LeeDepartment of Laboratory Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Bongsu JungDepartment of Biomedical Science, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, Korea.
Juhee JeongDepartment of Biomedical Science, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, Korea.
Kyungja HanDepartment of Laboratory Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Yonggoo KimDepartment of Laboratory Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea. yonggoo@catholic.ac.kr.ORCID https://orcid.org/0000-0003-2808-3795
Eun Jee OhDepartment of Laboratory Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea. ejoh@catholic.ac.kr.ORCID https://orcid.org/0000-0001-5870-915X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate, rapid, and cost-effective screening tests for hepatitis B virus (HBV) and hepatitis C virus (HCV) infection may be useful in laboratories that cannot afford automated chemiluminescent immunoassays (CLIAs). We evaluated the diagnostic performance of a novel rapid automated fluorescent lateral flow immunoassay (LFIA).

methodsA fluorescent LFIA using a small bench-top fluorescence reader, Automated Fluorescent Immunoassay System (AFIAS; Boditech Med Inc., Chuncheon, Korea), was developed for qualitative detection of hepatitis B surface antigen (HBsAg), antibody to HBsAg (anti-HBs), and antibody to HCV (anti-HCV) within 20 minutes. We compared the diagnostic performance of AFIAS with that of automated CLIAs-Elecsys (Roche Diagnostics GmbH, Penzberg, Germany) and ARCHITECT (Abbott Laboratories, Abbott Park, IL, USA)-using 20 seroconversion panels and 3,500 clinical serum samples.

resultsEvaluation with the seroconversion panels demonstrated that AFIAS had adequate sensitivity for HBsAg and anti-HCV detection. From the clinical samples, AFIAS sensitivity and specificity were 99.8% and 99.3% for the HBsAg test, 100.0% and 100.0% for the anti-HBs test, and 98.8% and 99.1% for the anti-HCV test, respectively. Its agreement rates with the Elecsys HBsAg, anti-HBs, and anti-HCV detection assays were 99.4%, 100.0%, and 99.0%, respectively. AFIAS detected all samples with HBsAg genotypes A-F and H and anti-HCV genotypes 1, 1a, 1b, 2a, 2b, 4, and 6. Cross-reactivity with other infections was not observed.

conclusionsThe AFIAS HBsAg, anti-HBs, and anti-HCV tests demonstrated diagnostic performance equivalent to current automated CLIAs. AFIAS could be used for a large-scale HBV or HCV screening in low-resource laboratories or low-to middle-income areas.

Indexed as

AutomationFluorescent DyesHepatitis BHepatitis B AntibodiesHepatitis B Surface AntigensHepatitis CHepatitis C AntibodiesHumansImmunoassaySensitivity and SpecificityFluorescent DyesHepatitis B AntibodiesHepatitis B Surface AntigensHepatitis C AntibodiesAnti-HBsAnti-HCVDiagnostic performanceHBsAgLateral flow immunoassay

Identifiers

PMID30027702
PMCPMC6056386

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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.