Evidence map›Paper›PMID 36946838›Full record

ArticleMemorias do Instituto Oswaldo Cruz2023

A straightforward one-step strategy for SARS-CoV-2 diagnosis and screening of variants of concern: a multicentre study.

Marcela Fontana-Maurell, Fernando do Couto Motta, Monica Barcellos Arruda, Pedro Cardoso, Marisa Ribeiro, Elisabete Andrade, Daniela T Godoy, Elaine Costa, Daniele Rocha, Marilda Agudo Mt Siqueira and 2 more

Erratum issuedOpen access · diamondFull text readMulticenter Study
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Marcela Fontana-MaurellFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Fernando do Couto MottaFundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Vírus Respiratório e Sarampo, Rio de Janeiro, RJ, Brasil.
Monica Barcellos ArrudaFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Pedro CardosoFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Marisa RibeiroFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Elisabete AndradeFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Daniela T GodoyFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Elaine CostaFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Daniele RochaFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Marilda Agudo Mt SiqueiraFundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Vírus Respiratório e Sarampo, Rio de Janeiro, RJ, Brasil.
Rodrigo BrindeiroFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.
Patrícia AlvarezFundação Oswaldo Cruz-Fiocruz, Instituto de Tecnologia de Imunobiológicos Bio-Manguinhos, Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0003-0313-877X
Fundação Oswaldo Cruz · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) has changed unevenly over time around the world. Although whole genome sequencing is the gold standard for virus characterisation, the discovery of alpha VOC causing spike gene target failure (SGTF) result, when tested using an reverse transcription real-time polymerase chain reaction (RT-qPCR) assay, has provided a simple tool for tracking the frequencies of variants.

objectivesThe aim of this study was to investigate if a multiplex RT-qPCR assay (BioM 4Plex VOC) could be used to detect SARS-CoV-2 and to perform a VOC screening test in a single reaction tube. Here, we present the multicentre study evaluating this assay.

methodsTwelve laboratories have participated in the multicentre study. The BioM 4Plex VOC was distributed to them with detailed instructions of how to perform the test. They were asked to test the BioM 4Plex VOC in parallel with their routine Commercial SARS-CoV-2 diagnostic assay. Additionally, they were requested to select SARS-CoV-2-positive samples with genome sequenced and lineage definition according to PANGO lineage classification.

findingsThe BioM 4Plex VOC and commercial RT-PCR assay are equally effective in detecting SARS-CoV-2. Results revealed a specificity of 96.5-100% [95% confidence interval (CI)], a sensitivity of 99.8-100% (95% CI), and an accuracy of 99.8-100% (95% CI). A 99% concordance rate was found between results from the BioM 4Plex VOC and that from available genome sequencing data. MAIN

conclusionsThe BioM 4Plex VOC provides an effective solution to detect SARS-CoV-2 infections and screening for VOCs in a single reaction. It is a straightforward method to help us monitor the frequency and distribution of VOCs and develop strategies to better cope with the pandemics.

Indexed as

COVID-19SARS-CoV-2Biological AssayChromosome MappingCOVID-19 TestingHumans

Identifiers

PMID36946838
PMCPMC10023132
OpenAlexW4328024159

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read45
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.