Evidence map›Paper›PMID 32837738›Full record

ReviewJournal of advanced research2020

Molecular diagnostic technologies for COVID-19: Limitations and challenges.

Adeel Afzal

Open access · goldAbstract readReview
In one paragraph

Review in Journal of advanced research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 2 pooled it
8.0field-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.

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

176 citing papers in PubMed, 2 syntheses or guidelines pooled it, 379 citations in OpenAlex.

  1. Pooled it
  2. Guideline
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  5. Review
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  11. Development of RT-LAMP assay for variants of HCV in Pakistan.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  12. Article
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  16. Article
  17. Comparison of a Commercial SARS-CoV-2 Rapid Antigen Test with Real-Time PCR.Infectious diseases & clinical microbiology · 2024
    Article
  18. Article
  19. From Species to Genes: A New Diagnostic Paradigm.Antibiotics (Basel, Switzerland) · 2024
    Review
  20. Article

116 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

1 author at 1 institution in 1 country.

Adeel AfzalDepartment of Chemistry, College of Science, University of Hafr Al Batin, PO Box 1803, Hafr Al Batin 39524, Saudi Arabia.
University of Hafr Al-Batin · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo curb the spread of the COVID-19 (coronavirus disease 2019) pandemic, the world needs diagnostic systems capable of rapid detection and quantification of the novel coronavirus (SARS-CoV-2). Many biomedical companies are rising to the challenge and developing COVID-19 diagnostics. In the last few months, some of these diagnostics have become commercially available for healthcare workers and clinical laboratories. However, the diagnostic technologies have specific limitations and reported several false-positive and false-negative cases, especially during the early stages of infection.

aimThis article aims to review recent developments in the field of COVID-19 diagnostics based on molecular technologies and analyze their clinical performance data. KEY CONCEPTS: The literature survey and performance-based analysis of the commercial and pre-commercial molecular diagnostics address several questions and issues related to the limitations of current technologies and highlight future research and development challenges to enable timely, rapid, low-cost, and accurate diagnosis of emerging infectious diseases.

Indexed as

Clinical sensitivityCOVID-19In vitro diagnosticsPoint-of-careReal-time RT-PCRSARS-CoV-2

Identifiers

PMID32837738
PMCPMC7406419
OpenAlexW3047349135

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.