Evidence map›Paper›PMID 31666635›Full record

ArticleScientific reports2019

An Automated, Quantitative, and Multiplexed Assay Suitable for Point-of-Care Hepatitis B Virus Diagnostics.

Adi Wijaya Gani, Wei Wei, Run-Zhang Shi, Elaine Ng, Mindie Nguyen, Mei-Sze Chua, Samuel So, Shan X Wang

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  8. Review
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  11. Giant Magnetoresistance Biosensors in Biomedical Applications.ACS applied materials & interfaces · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Human virus detection with graphene-based materials.Biosensors & bioelectronics · 2020
    Review
  16. Article
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

8 authors.

Adi Wijaya GaniDepartment of Electrical Engineering, Stanford University, Stanford, California, 94305, USA.
Wei WeiAsian Liver Center, Department of Surgery, School of Medicine, Stanford University, Stanford, California, 94305, USA.
Run-Zhang ShiDepartment of Pathology, Stanford University School of Medicine, Stanford University, Stanford, California, 94305, USA.
Elaine NgDepartment of Materials Science and Engineering, Stanford University, Stanford, California, 94305, USA.
Mindie NguyenDepartment of Medicine, Stanford University School of Medicine, Stanford University, Stanford, California, 94305, USA.
Mei-Sze ChuaAsian Liver Center, Department of Surgery, School of Medicine, Stanford University, Stanford, California, 94305, USA. mchua@stanford.edu.ORCID http://orcid.org/0000-0002-3282-4894
Samuel SoAsian Liver Center, Department of Surgery, School of Medicine, Stanford University, Stanford, California, 94305, USA.
Shan X WangDepartment of Electrical Engineering, Stanford University, Stanford, California, 94305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection has a global reach with high prevalence in resource-limited areas like China and Africa. HBV patients in these areas have limited access to the currently used, costly HBV assays, which are performed in centralized clinical laboratories using single-plexed assays with bulky and expensive instruments. We aim to overcome these limitations by developing a simple and affordable HBV diagnostic platform to allow for timelier diagnosis and intervention of HBV infection. Using giant magnetoresistive (GMR) biosensor chips, we developed an automated and multiplexed quantitative platform for the measurement of a panel of HBV serology markers, including HBV "e" antigen (HBeAg), HBV surface antigen (HBsAg), and the antibody against HBsAg (anti-HBs). Our assay platform was able to detect each HBV marker with high specificity and sensitivity (with three orders of magnitude in dynamic range for each marker). Blinded analysis of HBV patient sera showed excellent correlation between our multiplexed quantitative HBsAg results and the qualitative results obtained using FDA-approved immunoassays, as well as those obtained using quantitative, single-plexed, enzyme-linked immunosorbent assays (ELISAs). The portable, automated, multiplexed, quantitative HBV serology assay platform we designed shows great promise as a more accessible alternative for HBV screening, diagnosis, and treatment monitoring.

Indexed as

Point-of-Care SystemsAutomationBiosensing TechniquesHepatitis BHumans

Identifiers

PMID31666635
PMCPMC6821925

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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.