Evidence map›Paper›PMID 37766315›Full record

ArticleViruses2023

Colorimetric RT-LAMP Detection of Multiple SARS-CoV-2 Variants and Lineages of Concern Direct from Nasopharyngeal Swab Samples without RNA Isolation.

Santiago Werbajh, Luciana Larocca, Carolina Carrillo, Fabiana Stolowicz, Lorena Ogas, Sergio Pallotto, Solange Cassará, Liliana Mammana, Inés Zapiola, María Belén Bouzas and 1 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 4 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

11 authors at 3 institutions in 1 country.

Santiago WerbajhInstituto de Ciencia y Tecnología Dr. César Milstein, Fundación Pablo Cassará, CONICET. Saladillo 2468, Buenos Aires C1440FFX, Argentina.ORCID 0000-0001-8259-1024
Luciana LaroccaInstituto de Ciencia y Tecnología Dr. César Milstein, Fundación Pablo Cassará, CONICET. Saladillo 2468, Buenos Aires C1440FFX, Argentina.
Carolina CarrilloInstituto de Ciencia y Tecnología Dr. César Milstein, Fundación Pablo Cassará, CONICET. Saladillo 2468, Buenos Aires C1440FFX, Argentina.
Fabiana StolowiczInstituto de Ciencia y Tecnología Dr. César Milstein, Fundación Pablo Cassará, CONICET. Saladillo 2468, Buenos Aires C1440FFX, Argentina.
Lorena OgasInstituto de Ciencia y Tecnología Dr. César Milstein, Fundación Pablo Cassará, CONICET. Saladillo 2468, Buenos Aires C1440FFX, Argentina.
Sergio PallottoLaboratorio Pablo Cassará S.R.L. Saladillo 2452, Buenos Aires C1440FFX, Argentina.
Solange CassaráInstituto de Ciencia y Tecnología Dr. César Milstein, Fundación Pablo Cassará, CONICET. Saladillo 2468, Buenos Aires C1440FFX, Argentina.
Liliana MammanaSección Virología, Hospital de Enfermedades Infecciosas Francisco Javier Muñiz Uspallata 2272, Buenos Aires C1282AEN, Argentina.
Inés ZapiolaSección Virología, Hospital de Enfermedades Infecciosas Francisco Javier Muñiz Uspallata 2272, Buenos Aires C1282AEN, Argentina.
María Belén BouzasSección Virología, Hospital de Enfermedades Infecciosas Francisco Javier Muñiz Uspallata 2272, Buenos Aires C1282AEN, Argentina.ORCID 0000-0003-1389-8940
Adrian A VojnovInstituto de Ciencia y Tecnología Dr. César Milstein, Fundación Pablo Cassará, CONICET. Saladillo 2468, Buenos Aires C1440FFX, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Muñiz · ARUniversidad del Salvador · AR

Funding

Ministro de Ciencia, Tecnología e Innovación-Agencia de Promoción Científica y Tecnológica (ANPCyT) and the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina. PICT 2017-1544 Extension COVID
6 · The paper itself

Abstract

Since, during the Coronavirus disease 19 (COVID-19) pandemic, a large part of the human population has become infected, a rapid and simple diagnostic method has been necessary to detect its causative agent, the Severe Acute Respiratory Syndrome-related Coronavirus-2 (SARS-CoV-2), and control its spread. Thus, in the present study, we developed a colorimetric reverse transcription-loop-mediated isothermal amplification (RT-LAMP) kit that allows the detection of SARS-CoV-2 from nasopharyngeal swab samples without the need for RNA extraction. The kit utilizes three sets of LAMP primers targeting two regions of ORF1ab and one region in the E gene. The results are based on the colorimetric change of hydroxynaphthol blue, which allows visual interpretation without needing an expensive instrument. The kit demonstrated sensitivity to detect between 50 and 100 copies of the viral genome per reaction. The kit was authorized by the National Administration of Drugs, Food and Technology (ANMAT) of Argentina after validation using samples previously analyzed by the gold standard RT-qPCR. The results showed a sensitivity of 90.6% and specificity of 100%, consistent with conventional RT-qPCR. In silico analysis confirmed the recognition of SARS-CoV-2 variants of concern (B.1.1.7, B.1.351, P.1, B.1.617.2, B.1.427, and B.1.429), and lineages of the Omicron variant (B.1.1.529) with 100% homology. This rapid, simple, and sensitive RT-LAMP method paves the way for a large screening strategy to be carried out at locations lacking sophisticated instrumental and trained staff, as it particularly happens in regional hospitals and medical centers from rural areas.

Indexed as

ColorimetryCOVID-19COVID-19 Nucleic Acid TestingMolecular Diagnostic TechniquesNasopharynxNucleic Acid Amplification TechniquesSARS-CoV-2HumansRNA, ViralSensitivity and SpecificityRNA, ViralCOVID-19LAMPSARS-CoV-2

Identifiers

PMID37766315
PMCPMC10537693
OpenAlexW4386687479

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.