Evidence map›Paper›PMID 32729549›Full record

ReviewBiosensors & bioelectronics2020

Diagnostics for SARS-CoV-2 detection: A comprehensive review of the FDA-EUA COVID-19 testing landscape.

Neeraja Ravi, Dana L Cortade, Elaine Ng, Shan X Wang

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04340349 (Low-dose Hydroxychloroquine and Bromhexine), which is not on this map. Cited by 208 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
208citing papers in PubMed, 2 pooled it
8.9field-weighted citation impact, top 2% 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.

NCT04340349 early_phase1unknown statusnot on this mapstarted 2021, after this paper: background citation

Low-dose Hydroxychloroquine and Bromhexine: a Novel Regimen for COVID-19 Prophylaxis in Healthcare Professionals (ELEVATE Trial)

TypeinterventionalSponsorInstituto Nacional de RehabilitacionRan2021 to 2021Enrolled214ConditionsHydroxychloroquine, Antimalarials, Enzyme Inhibitors, Antirheumatic AgentsArmsHydroxychloroquine Sulfate, Bromhexine 8 MG
3 · Its place in the literature

Who cites it

208 citing papers in PubMed, 2 syntheses or guidelines pooled it, 393 citations in OpenAlex.

  1. Pooled it
  2. Recent advances in the diagnosis of COVID-19: a bird's eye view.Expert review of molecular diagnostics · 2021
    Pooled it
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
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  12. Review
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  18. Prospective, clinical comparison of self-collected throat-bilateral nares swabs and saline gargle compared to health care provider collected nasopharyngeal swabs among symptomatic outpatients with potential SARS-CoV-2 infection.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2024
    Article
  19. Article
  20. Article

148 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Neeraja RaviDepartment of Bioengineering, Stanford University, Stanford, CA, 93405, USA. Electronic address: neravi@stanford.edu.
Dana L CortadeDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 93405, USA. Electronic address: dcortade@stanford.edu.
Elaine NgDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 93405, USA. Electronic address: elaineng@stanford.edu.
Shan X WangDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 93405, USA; Department of Electrical Engineering, Stanford University, Stanford, CA, 93405, USA. Electronic address: sxwang@stanford.edu.
Stanford University · US

Funding

Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2015 to 2019
$9.6M
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza VaccineR01AI125197 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH, WANG, SHAN X. · 2016 to 2021
$5.0M
NCI NIH HHS U54 CA199075NIAID NIH HHS R01 AI125197
6 · The paper itself

Abstract

The rapidly spreading outbreak of COVID-19 disease is caused by the SARS-CoV-2 virus, first reported in December 2019 in Wuhan, China. As of June 17, 2020, this virus has infected over 8.2 million people but ranges in symptom severity, making it difficult to assess its overall infection rate. There is a need for rapid and accurate diagnostics to better monitor and prevent the spread of COVID-19. In this review, we present and evaluate two main types of diagnostics with FDA-EUA status for COVID-19: nucleic acid testing for detection of SARS-CoV-2 RNA, and serological assays for detection of SARS-CoV-2 specific IgG and IgM patient antibodies, along with the necessary sample preparation for accurate diagnoses. In particular, we cover and compare tests such as the CDC 2019-nCoV RT-PCR Diagnostic Panel, Cellex's qSARS-CoV-2 IgG/IgM Rapid Test, and point-of-care tests such as Abbott's ID NOW COVID-19 Test. Antibody testing is especially important in understanding the prevalence of the virus in the community and to identify those who have gained immunity. We conclude by highlighting the future of COVID-19 diagnostics, which include the need for quantitative testing and the development of emerging biosensors as point-of-care tests.

Indexed as

Point-of-Care TestingBetacoronavirusBiosensing TechniquesCoronavirus InfectionsCOVID-19HumansImmunoassayImmunoglobulin GImmunoglobulin MPandemicsPneumonia, ViralReverse Transcriptase Polymerase Chain ReactionRNA, ViralSARS-CoV-2Specimen HandlingUnited StatesImmunoglobulin GImmunoglobulin MRNA, ViralCOVID-19Diagnostic testingFDA-EUAImmunoassayPoint-of-careRT-PCRSARS-CoV-2

Identifiers

PMID32729549
PMCPMC7368663
OpenAlexW3042554514

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.