ArticlePloS one2022
A rapid, specific, extraction-less, and cost-effective RT-LAMP test for the detection of SARS-CoV-2 in clinical specimens.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Laboratory-based molecular test alternatives to RT-PCR for the diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2024Pooled it
- Towards practical point-of-care quick, ubiquitous, integrated, cost-efficient molecular diagnostic Kit (QUICK) PCR for future pandemic response.Microsystems & nanoengineering · 2025Review
- Universal Nanopore Sensor for Amplification-Free and Label-Free Detection of Molecular Biomarkers.ACS sensors · 2025Article
- Article
- Quantitative mRNA expression measurement at home.Scientific reports · 2024Article
- Rapid assays of SARS-CoV-2 virus and noble biosensors by nanomaterials.Nano convergence · 2024Review
- Clinical validation of RCSMS: A rapid and sensitive CRISPR-Cas12a test for the molecular detection of SARS-CoV-2 from saliva.PloS one · 2024Article
- Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study.Scientific reports · 2023Article
- Mobile Efficient Diagnostics of Infectious Diseases via On-Chip RT-qPCR: MEDIC-PCR.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Starting from scratch: Step-by-step development of diagnostic tests for SARS-CoV-2 detection by RT-LAMP.PloS one · 2023Article
- Development and Validation of Rapid Colorimetric Reverse Transcription Loop-Mediated Isothermal Amplification for Detection of Rift Valley Fever Virus.Advances in virology · 2023Article
- VIDIIA Hunter diagnostic platform: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostics approved for medical use in the UK.Frontiers in molecular biosciences · 2023Article
- A quantitative RT-qLAMP for the detection of SARS-CoV-2 and human gene in clinical application.Microbial biotechnology · 2022Article
- A rapid RT-LAMP SARS-CoV-2 screening assay for collapsing asymptomatic COVID-19 transmission.PloS one · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 2019 a newly identified coronavirus, designated as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread rapidly from the epicenter in Wuhan (China) to more than 150 countries around the world, causing the Coronavirus disease 2019 (COVID-19) pandemic. In this study, we describe an extraction-less method based on reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) intended for the rapid qualitative detection of nucleic acid from SARS-CoV-2 in upper respiratory specimens, including oropharyngeal and nasopharyngeal swabs, anterior nasal and mid-turbinate nasal swabs, nasopharyngeal washes/aspirates or nasal aspirates as well as bronchoalveolar lavage (BAL) from individuals suspected of COVID-19 by their healthcare provider. The assay's performance was evaluated and compared to an RT quantitative PCR-based assay (FDA-approved). With high sensitivity, specificity, and bypassing the need for RNA extraction, the RT-LAMP Rapid Detection assay is a valuable and fast test for an accurate and rapid RNA detection of the SARS-CoV-2 virus and potentially other pathogens. Additionally, the versatility of this test allows its application in virtually every laboratory setting and remote location where access to expensive laboratory equipment is a limiting factor for testing during pandemic crises.
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Registered trials
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.