Evidence map›Paper›PMID 33980687›Full record

ReviewClinical microbiology reviews2021

Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection.

Seyed Hamid Safiabadi Tali, Jason J LeBlanc, Zubi Sadiq, Oyejide Damilola Oyewunmi, Carolina Camargo, Bahareh Nikpour, Narges Armanfard, Selena M Sagan, Sana Jahanshahi-Anbuhi

Open access · greenAbstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
218citing papers in PubMed, 6 pooled it
21.8field-weighted citation impact, top 1% 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

218 citing papers in PubMed, 6 syntheses or guidelines pooled it, 407 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Review
  9. Gut microbial allies and adversaries in SARS-CoV-2 infection.Current research in microbial sciences · 2026
    Article
  10. Monocytes in pneumonia: Functional plasticity and innate memory (Review).International journal of molecular medicine · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Anti-Inflammatory Mechanisms and Translational Relevance ofJournal of inflammation research · 2026
    Review

158 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

9 authors at 4 institutions in 1 country.

Seyed Hamid Safiabadi Tali *Department of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada.
Jason J LeBlanc *Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada jason.leblanc@nshealth.ca sana.anbuhi@concordia.ca.
Zubi SadiqDepartment of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada.
Oyejide Damilola OyewunmiDepartment of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada.
Carolina CamargoDepartment of Microbiology and Immunology, McGill University, Montréal, Québec, Canada.
Bahareh NikpourDepartment of Electrical and Computer Engineering, McGill University, Montréal, Québec, Canada.
Narges ArmanfardDepartment of Electrical and Computer Engineering, McGill University, Montréal, Québec, Canada.
Selena M SaganDepartment of Microbiology and Immunology, McGill University, Montréal, Québec, Canada.
Sana Jahanshahi-AnbuhiDepartment of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada jason.leblanc@nshealth.ca sana.anbuhi@concordia.ca.ORCID 0000-0002-2191-8430
Concordia University · CAMcGill University · CADalhousie University · CAMila - Quebec Artificial Intelligence Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and deaths worldwide. Efficient diagnostic tools are in high demand, as rapid and large-scale testing plays a pivotal role in patient management and decelerating disease spread. This paper reviews current technologies used to detect SARS-CoV-2 in clinical laboratories as well as advances made for molecular, antigen-based, and immunological point-of-care testing, including recent developments in sensor and biosensor devices. The importance of the timing and type of specimen collection is discussed, along with factors such as disease prevalence, setting, and methods. Details of the mechanisms of action of the various methodologies are presented, along with their application span and known performance characteristics. Diagnostic imaging techniques and biomarkers are also covered, with an emphasis on their use for assessing COVID-19 or monitoring disease severity or complications. While the SARS-CoV-2 literature is rapidly evolving, this review highlights topics of interest that have occurred during the pandemic and the lessons learned throughout. Exploring a broad armamentarium of techniques for detecting SARS-CoV-2 will ensure continued diagnostic support for clinicians, public health, and infection prevention and control for this pandemic and provide advice for future pandemic preparedness.

Indexed as

Biosensing TechniquesCOVID-19COVID-19 Nucleic Acid TestingCOVID-19 Serological TestingGenome, ViralHumansNucleic Acid Amplification TechniquesPoint-of-Care TestingSARS-CoV-2Specimen Handling2019-nCoVantigenbiomarkerscoronavirusCOVID-19NAATnext-generation sequencingPCRSARS-CoV-2serology

Identifiers

PMID33980687
PMCPMC8142517
OpenAlexW3161834201

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.