Evidence map›Paper›PMID 35285246›Full record

ArticleApplied and environmental microbiology2022

Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics.

Chamteut Oh, Palash Sashittal, Aijia Zhou, Leyi Wang, Mohammed El-Kebir, Thanh H Nguyen

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Chamteut Oh *Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaigngrid.35403.31, Urbana, Illinois, USA.
Palash Sashittal *Department of Computer Science, University of Illinois at Urbana-Champaigngrid.35403.31, Urbana, Illinois, USA.
Aijia ZhouDepartment of Civil and Environmental Engineering, University of Illinois at Urbana-Champaigngrid.35403.31, Urbana, Illinois, USA.
Leyi WangVeterinary Diagnostic Laboratory and Department of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaigngrid.35403.31, Urbana, Illinois, USA.
Mohammed El-KebirDepartment of Computer Science, University of Illinois at Urbana-Champaigngrid.35403.31, Urbana, Illinois, USA.
Thanh H NguyenDepartment of Civil and Environmental Engineering, University of Illinois at Urbana-Champaigngrid.35403.31, Urbana, Illinois, USA.ORCID 0000-0002-5461-5233
University of Illinois Urbana-Champaign · US

Funding

University of Illinois Veterinary Diagnostic Laboratory participation in Veterinary Laboratory Investigation and Response NetworkU18FD006673 · FDA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Chien-Che Hung · 2019 to 2026
$387k
FDA HHS U18 FD006673HHS | U.S. Food and Drug Administration (FDA) FOA PAR-17-141
6 · The paper itself

Abstract

Monitoring the prevalence of SARS-CoV-2 variants is necessary to make informed public health decisions during the COVID-19 pandemic. PCR assays have received global attention, facilitating a rapid understanding of variant dynamics because they are more accessible and scalable than genome sequencing. However, as PCR assays target only a few mutations, their accuracy could be reduced when these mutations are not exclusive to the target variants. Here we introduce PRIMES, an algorithm that evaluates the sensitivity and specificity of SARS-CoV-2 variant-specific PCR assays across different geographical regions by incorporating sequences deposited in the GISAID database. Using PRIMES, we determined that the accuracy of several PCR assays decreased when applied beyond the geographic scope of the study in which the assays were developed. Subsequently, we used this tool to design Alpha and Delta variant-specific PCR assays for samples from Illinois, USA.

Indexed as

COVID-19SARS-CoV-2HumansMutationPandemicsPolymerase Chain ReactionSewageSewagein silico analysisPCR assaysPRIMESSARS-CoV-2 variantswastewater-based epidemiology

Identifiers

PMID35285246
PMCPMC9004361
OpenAlexW4220947629

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.