Evidence map›Paper›PMID 32074965›Full record

ReviewViruses2020

Current Trends in Diagnostics of Viral Infections of Unknown Etiology.

Daniel Kiselev, Alina Matsvay, Ivan Abramov, Vladimir Dedkov, German Shipulin, Kamil Khafizov

Abstract readReview
In one paragraph

Review in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. The Emergence of Travel-related Infections in Critical Care Units.Journal of translational internal medicine · 2022
    Article
  8. Review
  9. Review
  10. SARS-CoV-2 Variants Monitoring Using Real-Time PCR.Diagnostics (Basel, Switzerland) · 2022
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Micro and Nanoscale Technologies for Diagnosis of Viral Infections.Small (Weinheim an der Bergstrasse, Germany) · 2021
    Review
  17. Article
  18. Review
  19. Molecular diagnostic assays for COVID-19: an overview.Critical reviews in clinical laboratory sciences · 2021
    Review
  20. 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

6 authors.

Daniel KiselevFSBI "Center of Strategic Planning" of the Ministry of Health, 119435 Moscow, Russia.ORCID 0000-0001-8074-8411
Alina MatsvayFSBI "Center of Strategic Planning" of the Ministry of Health, 119435 Moscow, Russia.ORCID 0000-0002-6301-9169
Ivan AbramovFSBI "Center of Strategic Planning" of the Ministry of Health, 119435 Moscow, Russia.
Vladimir DedkovPasteur Institute, Federal Service on Consumers' Rights Protection and Human Well-Being Surveillance, 197101 Saint-Petersburg, Russia.
German ShipulinFSBI "Center of Strategic Planning" of the Ministry of Health, 119435 Moscow, Russia.
Kamil KhafizovFSBI "Center of Strategic Planning" of the Ministry of Health, 119435 Moscow, Russia.ORCID 0000-0001-5524-0296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses are evolving at an alarming rate, spreading and inconspicuously adapting to cutting-edge therapies. Therefore, the search for rapid, informative and reliable diagnostic methods is becoming urgent as ever. Conventional clinical tests (PCR, serology, etc.) are being continually optimized, yet provide very limited data. Could high throughput sequencing (HTS) become the future gold standard in molecular diagnostics of viral infections? Compared to conventional clinical tests, HTS is universal and more precise at profiling pathogens. Nevertheless, it has not yet been widely accepted as a diagnostic tool, owing primarily to its high cost and the complexity of sample preparation and data analysis. Those obstacles must be tackled to integrate HTS into daily clinical practice. For this, three objectives are to be achieved: (1) designing and assessing universal protocols for library preparation, (2) assembling purpose-specific pipelines, and (3) building computational infrastructure to suit the needs and financial abilities of modern healthcare centers. Data harvested with HTS could not only augment diagnostics and help to choose the correct therapy, but also facilitate research in epidemiology, genetics and virology. This information, in turn, could significantly aid clinicians in battling viral infections.

Indexed as

Clinical Laboratory TechniquesComputational BiologyFever of Unknown OriginHigh-Throughput Nucleotide SequencingHumansMolecular Diagnostic TechniquesVirus DiseasesVirusesbioinformaticsdiagnosticsHTSNGSPCRsequencingsingle-molecule sequencingviral infectionsviruses

Identifiers

PMID32074965
PMCPMC7077230

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.