Evidence map›Paper›PMID 33771097›Full record

ArticleMolecular medicine (Cambridge, Mass.)2021

Essential properties and pitfalls of colorimetric Reverse Transcription Loop-mediated Isothermal Amplification as a point-of-care test for SARS-CoV-2 diagnosis.

Bruna de Oliveira Coelho, Heloisa Bruna Soligo Sanchuki, Dalila Luciola Zanette, Jeanine Marie Nardin, Hugo Manuel Paz Morales, Bruna Fornazari, Mateus Nóbrega Aoki, Lucas Blanes

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
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  4. Standardization and performance of SARS-CoV-2 RT-LAMP detection: a reliable, inexpensive, and alternative diagnostic assay.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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  12. Understanding theFrontiers in parasitology · 2024
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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

8 authors at 3 institutions in 1 country.

Bruna de Oliveira Coelho *Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof Algacyr Munhoz Mader 3775 Street, Curitiba, Paraná, 81350-010, Brazil.
Heloisa Bruna Soligo Sanchuki *Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof Algacyr Munhoz Mader 3775 Street, Curitiba, Paraná, 81350-010, Brazil.
Dalila Luciola ZanetteLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof Algacyr Munhoz Mader 3775 Street, Curitiba, Paraná, 81350-010, Brazil.
Jeanine Marie NardinLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof Algacyr Munhoz Mader 3775 Street, Curitiba, Paraná, 81350-010, Brazil.
Hugo Manuel Paz MoralesErasto Gaertner Hospital, Dr. Ovande do Amaral 201 Street, Curitiba, Paraná, 81520-060, Brazil.
Bruna FornazariErasto Gaertner Hospital, Dr. Ovande do Amaral 201 Street, Curitiba, Paraná, 81520-060, Brazil.
Mateus Nóbrega AokiLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof Algacyr Munhoz Mader 3775 Street, Curitiba, Paraná, 81350-010, Brazil. mateus.aoki@fiocruz.br.ORCID 0000-0001-5166-2897
Lucas BlanesLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Prof Algacyr Munhoz Mader 3775 Street, Curitiba, Paraná, 81350-010, Brazil. lucas.blanes@fiocruz.br.
Fundação Oswaldo Cruz · BRFundação Carlos Chagas · BRHospital Erasto Gaertner · BR

Funding

CNPq PROEP-ICC/CNPQ 442329/2019-9Fundação Oswaldo Cruz VPPCB-008-FIO-18-2-38Fundação Oswaldo Cruz VPPIS-005-FIO-20-2-19
6 · The paper itself

Abstract

backgroundSARS-CoV-2 Reverse Transcription Loop-mediated Isothermal Amplification (RT-LAMP) colorimetric detection is a sensitive and specific point-of-care molecular biology technique used to detect the virus in only 30 min. In this manuscript we have described a few nuances of the technique still not properly described in the literature: the presence of three colors clusters; the correlation of the viral load with the color change; and the importance of using an internal control to avoid false-negative results.

methodsTo achieve these findings, we performed colorimetric RT-LAMP assays of 466 SARS-CoV-2 RT-qPCR validated clinical samples, with color quantification measured at 434 nm and 560 nm.

resultsFirst we determinate a sensitivity of 93.8% and specificity of 90.4%. In addition to the pink (negative) and yellow (positive) produced colors, we report for the first time the presence of an orange color cluster that may lead to wrong diagnosis. We also demonstrated using RT-qPCR and RT-LAMP that low viral loads are related to Ct values > 30, resulting in orange colors. We also demonstrated that the diagnosis of COVID-19 by colorimetric RT-LAMP is efficient until the fifth symptoms day when the viral load is still relatively high.

conclusionThis study reports properties and indications for colorimetric RT-LAMP as point-of-care for SARS-CoV-2 diagnostic, reducing false results, interpretations and optimizing molecular diagnostics tests application.

Indexed as

Point-of-Care TestingCOVID-19COVID-19 TestingHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesReal-Time Polymerase Chain ReactionReverse TranscriptionSARS-CoV-2Sensitivity and SpecificityViral LoadPoint of CareRT-LAMPSARS-CoV-2

Identifiers

PMID33771097
PMCPMC7996115
OpenAlexW3138693185

What OpenQuestion holds

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LicenceCC BY
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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.