Evidence map›Paper›PMID 33138836›Full record

ReviewJournal of translational medicine2020

Detection of novel coronavirus (SARS-CoV-2) RNA in peripheral blood specimens.

Marjan Azghandi, Mohammad Amin Kerachian

Abstract readLetterReview
In one paragraph

Review in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Tracking SARS-CoV-2: Novel Trends and Diagnostic Strategies.Diagnostics (Basel, Switzerland) · 2021
    Review
  9. SARS-CoV-2 and Plasma Hypercoagulability.Cellular and molecular bioengineering · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

2 authors.

Marjan AzghandiCancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran.
Mohammad Amin KerachianCancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran. amin.kerachian@mail.mcgill.ca.ORCID 0000-0001-5016-2882

Funding

Mashhad University of Medical Sciences 981856National Institute for Medical Research Development 993860
6 · The paper itself

Abstract

The latest outbreak of pneumonia caused by SARS-CoV-2 presents a significant challenge to global public health and has a major impact on clinical microbiology laboratories. In some situations, such as patients in coma condition, the oropharyngeal or nasopharyngeal sampling is seldom feasible, and blood sampling could be an alternative. In the current article, a comprehensive literature search has been conducted for detecting coronavirus disease 2019 (COVID-19) using plasma or serum samples. To date, twenty-six studies have used SARS-CoV-2 nucleic acid in plasma or serum (RNAaemia) to diagnose COVID-19. The pros and cons are discussed in this article. While the detection of SARS-CoV-2 viral load in respiratory specimens is commonly used to diagnose COVID-19, detecting SARS-CoV-2 RNA in plasma or serum should not lose sight and it could be considered as an alternative diagnostic approach.

Indexed as

BetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingHumansPandemicsPlasmaPneumonia, ViralRNA, ViralSARS-CoV-2SerumViral LoadRNA, ViralCOVID-19DetectionDiagnosisMERSPlasmaSARSSerum

Identifiers

PMID33138836
PMCPMC7605324

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.