Evidence map›Paper›PMID 34717656›Full record

ReviewJournal of nanobiotechnology2021

Advances and insights in the diagnosis of viral infections.

Julija Dronina, Urte Samukaite-Bubniene, Arunas Ramanavicius

Open access · goldAbstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 106 citations in OpenAlex.

  1. Article
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  10. Article
  11. Multicomponent DNA Nanomachines for Amplification-Free Viral RNA Detection.International journal of molecular sciences · 2025
    Article
  12. Review
  13. Article
  14. Article
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  17. Rapid and Sensitive Detection ofInternational journal of molecular sciences · 2024
    Article
  18. Article
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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

3 authors at 1 institution in 1 country.

Julija DroninaLaboratory of Nanotechnology, Department of Functional Materials and Electronics, Center for Physical Sciences and Technology, Sauletekio av. 3, Vilnius, Lithuania.
Urte Samukaite-BubnieneDepartment of Physical Chemistry, Faculty of Chemistry and Geoscience, Vilnius University, Naugarduko str. 24, 03225, Vilnius, Lithuania.
Arunas RamanaviciusDepartment of Physical Chemistry, Faculty of Chemistry and Geoscience, Vilnius University, Naugarduko str. 24, 03225, Vilnius, Lithuania. arunas.ramanavicius@chf.vu.lt.ORCID http://orcid.org/0000-0002-0885-3556
Vilnius University · LT

Funding

european regional development fund 01.2.2-LMT-K-718-01-0063
6 · The paper itself

Abstract

Viral infections are the most common among diseases that globally require around 60 percent of medical care. However, in the heat of the pandemic, there was a lack of medical equipment and inpatient facilities to provide all patients with viral infections. The detection of viral infections is possible in three general ways such as (i) direct virus detection, which is performed immediately 1-3 days after the infection, (ii) determination of antibodies against some virus proteins mainly observed during/after virus incubation period, (iii) detection of virus-induced disease when specific tissue changes in the organism. This review surveys some global pandemics from 1889 to 2020, virus types, which induced these pandemics, and symptoms of some viral diseases. Non-analytical methods such as radiology and microscopy also are overviewed. This review overlooks molecular analysis methods such as nucleic acid amplification, antibody-antigen complex determination, CRISPR-Cas system-based viral genome determination methods. Methods widely used in the certificated diagnostic laboratory for SARS-CoV-2, Influenza A, B, C, HIV, and other viruses during a viral pandemic are outlined. A comprehensive overview of molecular analytical methods has shown that the assay's sensitivity, accuracy, and suitability for virus detection depends on the choice of the number of regions in the viral open reading frame (ORF) genome sequence and the validity of the selected analytical method.

Indexed as

Clinical Laboratory TechniquesBiosensing TechniquesCOVID-19HumansNucleic Acid Amplification TechniquesPandemicsSARS-CoV-2Viral ProteinsVirus DiseasesVirusesViral ProteinsAntibody-antigen complexBiosensorsCOVID-19CRISPR-Cas for DNA-SensorsImmunosensorsPhotoluminescencePolymerase chain reaction (PCR)SARS-CoV-2 virus detectionSurface plasmon resonance (SPR)

Identifiers

PMID34717656
PMCPMC8556785
OpenAlexW3210073584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.