Evidence map›Paper›PMID 34829328›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Tracking SARS-CoV-2: Novel Trends and Diagnostic Strategies.

Linda P Guaman-Bautista, Erick Moreta-Urbano, Claudia G Oña-Arias, Marbel Torres-Arias, Nikolaos C Kyriakidis, Koray Malcı, Nestor Jonguitud-Borrego, Leonardo Rios-Solis, Espiridion Ramos-Martinez, Andrés López-Cortés and 1 more

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. High-throughput and automated screening for COVID-19.Frontiers in medical technology · 2022
    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

11 authors.

Linda P Guaman-BautistaCentro de Investigación Biomédica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito 170147, Ecuador.
Erick Moreta-UrbanoCentro de Investigación Biomédica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito 170147, Ecuador.ORCID 0000-0002-9778-5611
Claudia G Oña-AriasCentro de Investigación Biomédica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito 170147, Ecuador.ORCID 0000-0001-7347-6032
Marbel Torres-AriasImmunology and Virology Laboratory, Department of Life Science and Agriculture, Universidad de las Fuerzas Armadas, Quito 171103, Ecuador.ORCID 0000-0002-3902-5083
Nikolaos C KyriakidisGrupo de Investigación en Biotecnología Aplicada a Biomedicina (BIOMED), Universidad de Las Américas, Quito 170125, Ecuador.ORCID 0000-0003-1382-5661
Koray MalcıInstitute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh EH8 9LE, UK.ORCID 0000-0002-2942-1146
Nestor Jonguitud-BorregoInstitute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh EH8 9LE, UK.
Leonardo Rios-SolisInstitute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh EH8 9LE, UK.ORCID 0000-0002-4387-984X
Espiridion Ramos-MartinezExperimental Medicine Research Unit, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City 4510, Mexico.ORCID 0000-0002-4361-821X
Andrés López-CortésCentro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito 170147, Ecuador.
Carlos Barba-OstriaEscuela de Medicina, Colegio de Ciencias de la Salud Quito, Universidad San Francisco de Quito USFQ, Quito 170901, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has had an enormous impact on economies and health systems globally, therefore a top priority is the development of increasingly better diagnostic and surveillance alternatives to slow down the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In order to establish massive testing and contact tracing policies, it is crucial to have a clear view of the diagnostic options available and their principal advantages and drawbacks. Although classical molecular methods such as RT-qPCR are broadly used, diagnostic alternatives based on technologies such as LAMP, antigen, serological testing, or the application of novel technologies such as CRISPR-Cas for diagnostics, are also discussed. The present review also discusses the most important automation strategies employed to increase testing capability. Several serological-based diagnostic kits are presented, as well as novel nanotechnology-based diagnostic methods. In summary, this review provides a clear diagnostic landscape of the most relevant tools to track COVID-19.

Indexed as

antigen testingautomationCOVID-19CRISPR-based diagnosticsnanotechnology-based diagnosticsnucleic acid amplification test

Identifiers

PMID34829328
PMCPMC8621220

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.