ArticlemSphere2020
Development and Clinical Application of a Rapid and Sensitive Loop-Mediated Isothermal Amplification Test for SARS-CoV-2 Infection.
Article in mSphere, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 9 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 9 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- The effect of sample site and collection procedure on identification of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2024Pooled it
- Laboratory-based molecular test alternatives to RT-PCR for the diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2024Pooled it
- Detection of respiratory viruses directly from clinical samples using next-generation sequencing: A literature review of recent advances and potential for routine clinical use.Reviews in medical virology · 2022Pooled it
- The screening value of RT-LAMP and RT-PCR in the diagnosis of COVID-19: systematic review and meta-analysis.Journal of virological methods · 2022Pooled it
- Diagnostic performances of common nucleic acid tests for SARS-CoV-2 in hospitals and clinics: a systematic review and meta-analysis.The Lancet. Microbe · 2021Pooled it
- Reverse Transcriptase Loop Mediated Isothermal Amplification (RT-LAMP) for COVID-19 diagnosis: a systematic review and meta-analysis.Pathogens and global health · 2021Pooled it
- Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2021Pooled it
- The diagnostic accuracy of isothermal nucleic acid point-of-care tests for human coronaviruses: A systematic review and meta-analysis.Scientific reports · 2020Pooled it
- Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2020Pooled it
- Development of Loop-Mediated Isothermal Amplification (LAMP) Methods for Rapid Identification of NephrotoxicMycobiology · 2026Article
- Colorimetric RT-LAMP for SARS-CoV-2 detection from nasopharyngeal swabs or crude saliva: a multicountry diagnostic accuracy study in Africa.The Lancet. Global health · 2025Article
- SARS-CoV-2 Evolution: Implications for Diagnosis, Treatment, Vaccine Effectiveness and Development.Vaccines · 2024Review
- A colorimetric reverse-transcription loop-mediated isothermal amplification method targeting the L452R mutation to detect the Delta variant of SARS-CoV-2.Scientific reports · 2024Article
- Bioinformatics and molecular biology tools for diagnosis, prevention, treatment and prognosis of COVID-19.Heliyon · 2024Review
- Integrated approach for detection of SARS-CoV-2 and its variant by utilizing LAMP and ARMS-PCR.Annals of clinical microbiology and antimicrobials · 2024Article
- Rapid Detection of SARS-CoV-2 Based on the LAMP Assay Associated with the CRISPRCas12a System.Diagnostics (Basel, Switzerland) · 2023Article
- Evolution of the newest diagnostic methods for COVID-19: a Chinese perspective.Journal of Zhejiang University. Science. B · 2023Review
- Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives.Chemical science · 2023Review
- Multiplexed Reverse Transcription Loop-Mediated Isothermal Amplification Coupled with a Nucleic Acid-Based Lateral Flow Dipstick as a Rapid Diagnostic Method to Detect SARS-CoV-2.Microorganisms · 2023Article
- CoVSense: Ultrasensitive Nucleocapsid Antigen Immunosensor for Rapid Clinical Detection of Wildtype and Variant SARS-CoV-2.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak urgently necessitates sensitive and convenient COVID-19 diagnostics for the containment and timely treatment of patients. We aimed to develop and validate a novel reverse transcription-loop-mediated isothermal amplification (RT-LAMP) assay to detect SARS-CoV-2. Patients with suspected COVID-19 and close contacts were recruited from two hospitals between 26 January and 8 April 2020. Respiratory samples were collected and tested using RT-LAMP, and the results were compared with those obtained by reverse transcription-quantitative PCR (RT-qPCR). Samples yielding inconsistent results between these two methods were subjected to next-generation sequencing for confirmation. RT-LAMP was also applied to an asymptomatic COVID-19 carrier and patients with other respiratory viral infections. Samples were collected from a cohort of 129 cases (329 nasopharyngeal swabs) and an independent cohort of 76 patients (152 nasopharyngeal swabs and sputum samples). The RT-LAMP assay was validated to be accurate (overall sensitivity and specificity of 88.89% and 99.00%, respectively) and diagnostically useful (positive and negative likelihood ratios of 88.89 and 0.11, respectively). RT-LAMP showed increased sensitivity (88.89% versus 81.48%) and high consistency (kappa, 0.92) compared to those of RT-qPCR for SARS-CoV-2 screening while requiring only constant-temperature heating and visual inspection. The time required for RT-LAMP was less than 1 h from sample preparation to the result. In addition, RT-LAMP was feasible for use with asymptomatic patients and did not cross-react with other respiratory pathogens. The developed RT-LAMP assay offers rapid, sensitive, and straightforward detection of SARS-CoV-2 infection and may aid the expansion of COVID-19 testing in the public domain and hospitals.
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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.