Evidence map›Paper›PMID 36060607›Full record

ReviewTrends in analytical chemistry : TRAC2022

Current trends in COVID-19 diagnosis and its new variants in physiological fluids: Surface antigens, antibodies, nucleic acids, and RNA sequencing.

Menna Mostafa, Ahmed Barhoum, Ekin Sehit, Hossam Gewaid, Eslam Mostafa, Mohamed M Omran, Mohga S Abdalla, Fatehy M Abdel-Haleem, Zeynep Altintas, Robert J Forster

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2022. 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. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

10 authors.

Menna MostafaNanoStruc Research Group, Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt.
Ahmed BarhoumNational Centre for Sensor Research, School of Chemical Sciences, Dublin City University, D09 V209, Dublin, Ireland.
Ekin SehitInstitute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany.
Hossam GewaidSchool of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, 152-160 Pearse St, Dublin, D02R590, Ireland.
Eslam MostafaBorg Pharmaceutical Industries, Refaat Hassan St, Al Abageyah, El-Khalifa, Cairo Governorate, 16, Egypt.
Mohamed M OmranChemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt.
Mohga S AbdallaChemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt.
Fatehy M Abdel-HaleemChemistry Department, Faculty of Science, Cairo University, 12613, Giza, Egypt.
Zeynep AltintasInstitute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany.
Robert J ForsterNational Centre for Sensor Research, School of Chemical Sciences, Dublin City University, D09 V209, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid, highly sensitive, and accurate virus circulation monitoring techniques are critical to limit the spread of the virus and reduce the social and economic burden. Therefore, point-of-use diagnostic devices have played a critical role in addressing the outbreak of COVID-19 (SARS-CoV-2) viruses. This review provides a comprehensive overview of the current techniques developed for the detection of SARS-CoV-2 in various body fluids (e.g., blood, urine, feces, saliva, tears, and semen) and considers the mutations (i.e., Alpha, Beta, Gamma, Delta, Omicron). We classify and comprehensively discuss the detection methods depending on the biomarker measured (i.e., surface antigen, antibody, and nucleic acid) and the measurement techniques such as lateral flow immunoassay (LFIA), enzyme-linked immunosorbent assay (ELISA), reverse transcriptase-polymerase chain reaction (RT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP), microarray analysis, clustered regularly interspaced short palindromic repeats (CRISPR) and biosensors. Finally, we addressed the challenges of rapidly identifying emerging variants, detecting the virus in the early stages of infection, the detection sensitivity, selectivity, and specificity, and commented on how these challenges can be overcome in the future.

Indexed as

BiosensorsClustered regularly interspaced short palindromic repeatsCOVID-19 virus diagnosisEnzyme-linked immunosorbent assayLateral flow immunoassayLoop-mediated isothermal amplificationMicroarray assaysReverse transcriptase-polymerase chain reaction

Identifiers

PMID36060607
PMCPMC9425703

What Socratic 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 Socratic graph.