Evidence map›Paper›PMID 35528048›Full record

ArticleJournal of clinical virology plus2022

Development and performance of a point-of-care rapid antigen test for detection of SARS-COV-2 variants.

Lihong Liu, Kathrine Meyers, Lawrence J Purpura, Nadia Nguyen, Hiroshi Mohri, Jennifer Y Chang, Medini K Annavajhala, Leo Lopez, Sang Won Lee, Jayesh Shah and 23 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical virology plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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

33 authors at 5 institutions in 1 country.

Lihong LiuAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Kathrine MeyersAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Lawrence J PurpuraDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
Nadia NguyenAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Hiroshi MohriAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Jennifer Y ChangDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
Medini K AnnavajhalaDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
Leo LopezNYC Health and Hospitals and NYU Grossman School of Medicine, New York, NY, United States.
Sang Won LeeDepartment of Biomedical Engineering, Columbia University, New York, NY, United States.
Jayesh ShahDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
Benjamin LaneAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Anyelina CantosDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
Sade A TukuruDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
Yicheng GuoAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Kenra FordNYC Health and Hospitals, New York, NY, United States.
Yueh-Ting ChiuDepartment of Biomedical Engineering, Columbia University, New York, NY, United States.
Zizhang ShengAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Tenzin ChoesangNYC Health and Hospitals, New York, NY, United States.
Delivette CastorDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
Maple WangAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Christina PiliNYC Health and Hospitals, New York, NY, United States.
Michael N Van HoyBioMedomics Inc, Morrisville, NC, United States.
Andrew WallachNYC Health and Hospitals and NYU Grossman School of Medicine, New York, NY, United States.
Jamie HortonEconomic Development Corporation, New York, NY, United States.
Zhiqiang ChenBioMedomics Inc, Morrisville, NC, United States.
Susan RosenthalEconomic Development Corporation, New York, NY, United States.
Son McLarenDepartment of Emergency Medicine, Columbia University, New York NY United States.
Baowei JiangBioMedomics Inc, Morrisville, NC, United States.
Frank WangBioMedomics Inc, Morrisville, NC, United States.
Helen H LuDepartment of Biomedical Engineering, Columbia University, New York, NY, United States.
Anne-Catrin UhlemannDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
David D HoAaron Diamond AIDS Research Center, Columbia University, New York, NY, United States.
Michael T YinDepartment of Medicine, Infectious Diseases, Columbia University, New York, NY, United States.
Columbia University · USAaron Diamond AIDS Research Center · USNew York City Health and Hospitals Corporation · USBioMedomics (United States) · USEmpire State Development · US

Funding

Mentoring Research in Non-infectious Complications of HIVK24AI155230 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YIN, MICHAEL T · 2021 to 2025
$940k
NIAID NIH HHS K24 AI155230
6 · The paper itself

Abstract

Background: SARS-CoV-2 antigen-based tests are well-calibrated to infectiousness and have a critical role to play in the COVID-19 public health response. We report the development and performance of a unique lateral flow immunoassay (LFA). Methods: Combinations of several monoclonal antibodies targeting multiple antigenic sites on the SARS-CoV-2 nucleocapsid protein (NP) were isolated, evaluated, and chosen for the development of a LFA termed CoV-SCAN (BioMedomics, Inc.). Clinical point-of-care studies in symptomatic and asymptomatic individuals were conducted to evaluate positive predictive agreement (PPA) and negative predictive agreement (NPA) with RT-PCR as comparator. Results: In laboratory testing, CoV-SCAN detected 14 recombinant N-proteins of SARS-CoV-2 variants with sensitivity in the range of 0.2-3.2 ng/mL, and 10 authentic SARS-CoV-2 variants with sensitivity in the range of 1.6-12.5 TCID50/swab. No cross reactivity was observed with other human coronaviruses or other respiratory pathogens. In clinical point-of-care testing on 148 individuals over age 2 with symptoms of ≤5 days, PPA was 87.2% (CI 95: 78.3-94.8%) and NPA was 100% (CI 95: 94.2-100%). In another 884 asymptomatic individuals, PPA was 85.7% (CI 95: 42.1-99.6%) and 99.7% (99.0-99.9%). Overall, CoV-SCAN detected over 97.2% of specimens with CT values <30 and 93.8% of nasal swab specimens with the Omicron variant, even within the first 2 days after symptom onset. Conclusions: The unique construction of CoV-SCAN using two pairs of monoclonal antibodies has resulted in a test with high performance that remains durable across multiple variants in both laboratory and clinical evaluations. CoV-SCAN should identify almost all individuals harboring infectious SARS-CoV-2. Summary: Unique construction of a point-of-care rapid antigen test using two pairs of monoclonal antibodies has led to good performance that remained durable across multiple variants in laboratory and clinical evaluations. Test should identify almost all individuals harboring infectious SARS-CoV-2.

Indexed as

COVID-19Cross-reactivitySARS-CoV-2 rapid antigen testsVariants of concern (VOCs)

Identifiers

PMID35528048
PMCPMC9067019
OpenAlexW4225395742

What OpenQuestion holds

Textmetadata
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.