Evidence map›Paper›PMID 37370601›Full record

ArticleBioengineering (Basel, Switzerland)2023

Simultaneous Quantitative SARS-CoV-2 Antigen and Host Antibody Detection and Pre-Screening Strategy at the Point of Care.

Kritika Srinivasan Rajsri, Michael P McRae, Nicolaos J Christodoulides, Isaac Dapkins, Glennon W Simmons, Hanover Matz, Helen Dooley, David Fenyö, John T McDevitt

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Kritika Srinivasan RajsriDivision of Biomaterials, Department of Molecular Pathobiology, New York University School of Dentistry, New York, NY 10010, USA.ORCID 0000-0003-2877-3542
Michael P McRaeDivision of Biomaterials, Department of Molecular Pathobiology, New York University School of Dentistry, New York, NY 10010, USA.ORCID 0000-0002-2126-9442
Nicolaos J ChristodoulidesDivision of Biomaterials, Department of Molecular Pathobiology, New York University School of Dentistry, New York, NY 10010, USA.ORCID 0000-0002-6494-5586
Isaac DapkinsDepartments of Population Health and Medicine, New York University School of Medicine, New York, NY 10010, USA.ORCID 0000-0001-5257-8064
Glennon W SimmonsDivision of Biomaterials, Department of Molecular Pathobiology, New York University School of Dentistry, New York, NY 10010, USA.ORCID 0000-0003-4560-2809
Hanover MatzDepartment of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0002-0669-1696
Helen DooleyDepartment of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0002-2570-574X
David FenyöDepartment of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10010, USA.ORCID 0000-0001-5049-3825
John T McDevittDivision of Biomaterials, Department of Molecular Pathobiology, New York University School of Dentistry, New York, NY 10010, USA.ORCID 0000-0001-8789-9351

Funding

Next Generation Tools for Onsite Monitoring and Treatment of Drug of Abuse-Dependent PersonsR42DA041959 · NIDA · SENSODX II, LLC · PI MEHALSO, ROBERT · 2019 to 2020
$1.5M
NIAID NIH HHS HHSN272201400008CNIDA NIH HHS R42 DA041959
6 · The paper itself

Abstract

As COVID-19 pandemic public health measures are easing globally, the emergence of new SARS-CoV-2 strains continue to present high risk for vulnerable populations. The antibody-mediated protection acquired from vaccination and/or infection is seen to wane over time and the immunocompromised populations can no longer expect benefit from monoclonal antibody prophylaxis. Hence, there is a need to monitor new variants and its effect on vaccine performance. In this context, surveillance of new SARS-CoV-2 infections and serology testing are gaining consensus for use as screening methods, especially for at-risk groups. Here, we described an improved COVID-19 screening strategy, comprising predictive algorithms and concurrent, rapid, accurate, and quantitative SARS-CoV-2 antigen and host antibody testing strategy, at point of care (POC). We conducted a retrospective analysis of 2553 pre- and asymptomatic patients who were tested for SARS-CoV-2 by RT-PCR. The pre-screening model had an AUC (CI) of 0.76 (0.73-0.78). Despite being the default method for screening, body temperature had lower AUC (0.52 [0.49-0.55]) compared to case incidence rate (0.65 [0.62-0.68]). POC assays for SARS-CoV-2 nucleocapsid protein (NP) and spike (S) receptor binding domain (RBD) IgG antibody showed promising preliminary results, demonstrating a convenient, rapid (<20 min), quantitative, and sensitive (ng/mL) antigen/antibody assay. This integrated pre-screening model and simultaneous antigen/antibody approach may significantly improve accuracy of COVID-19 infection and host immunity screening, helping address unmet needs for monitoring vaccine effectiveness and severe disease surveillance.

Indexed as

artificial intelligenceclinical decision makingCOVID-19lab-on-a-chipnucleocapsid antigenSARS-CoV-2 immunityspike RBD IgG

Identifiers

PMID37370601
PMCPMC10295356

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.