Evidence map›Paper›PMID 33600849›Full record

ArticleJournal of virological methods2021

Development and validation of viral load assays to quantitate SARS-CoV-2.

Joshua Bland, Ashley Kavanaugh, Lenny K Hong, Shrihari S Kadkol

Abstract read
In one paragraph

Article in Journal of virological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors.

Joshua BlandDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, United States. Electronic address: jbland3@uic.edu.
Ashley KavanaughDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, United States. Electronic address: gooda15@uic.edu.
Lenny K HongDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, United States. Electronic address: lennyh@uic.edu.
Shrihari S KadkolDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, United States. Electronic address: skadkol@uic.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 has infected more than 30 million persons throughout the world. A subset of patients suffer serious consequences that require hospitalization and ventilator support. Current tests for SARS-CoV-2 generate qualitative results and are vital to make a diagnosis of the infection. However, they are not helpful to follow changes in viral loads after diagnosis. The ability to quantitatively assess viral levels is necessary to determine the effectiveness of therapy with anti-viral or immune agents. Viral load analysis is also necessary to determine the replicative potential of strains with different mutations, emergence of resistance to anti-viral agents and the stability of viral nucleic acid and degree of RT-PCR inhibition in different types of collection media. Quantitative viral load analysis in body fluids, plasma and tissue may be helpful to determine the effects of the infection in various organ systems. To address these needs, we developed two assays to quantitate SARS-CoV-2. The assays target either the S or E genes in the virus, produce comparable viral load results, are highly sensitive and specific and have a wide range of quantitation. We believe that these assays will be helpful to manage the clinical course of infected patients and may also help to better understand the biology of infection with SARS-CoV-2.

Indexed as

Viral LoadCoronavirus Envelope ProteinsCOVID-19COVID-19 TestingEvaluation Studies as TopicHumansLimit of DetectionPrognosisReal-Time Polymerase Chain ReactionRNA, ViralSARS-CoV-2Spike Glycoprotein, CoronavirusCoronavirus Envelope Proteinsenvelope protein, SARS-CoV-2RNA, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2PrognosisQuantitative analysisSARS-CoV-2Therapy responseViral load

Identifiers

PMID33600849
PMCPMC7883709

What OpenQuestion 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 OpenQuestion graph.