ArticleWellcome open research2021
SARS-CoV-2 detection by a clinical diagnostic RT-LAMP assay.
Article in Wellcome open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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
- Advancing COVID-19 diagnostics: rapid detection of intact SARS-CoV-2 using viability RT-PCR assay.Microbiology spectrum · 2024Article
- Article
- Scalable RT-LAMP-based SARS-CoV-2 testing for infection surveillance with applications in pandemic preparedness.EMBO reports · 2023Article
- Multiplexed biosensor for point-of-care COVID-19 monitoring: CRISPR-powered unamplified RNA diagnostics and protein-based therapeutic drug management.Materials today (Kidlington, England) · 2022Article
- Clinical Validation of a Rapid Variant-Proof RT-RPA Assay for the Detection of SARS-CoV-2.Diagnostics (Basel, Switzerland) · 2022Article
- Reverse-Transcription Loop-Mediated Isothermal Amplification Has High Accuracy for Detecting Severe Acute Respiratory Syndrome Coronavirus 2 in Saliva and Nasopharyngeal/Oropharyngeal Swabs from Asymptomatic and Symptomatic Individuals.The Journal of molecular diagnostics : JMD · 2022Article
- High-quality RNA improves sensitivity of SARS-CoV-2 detection by colorimetric RT-LAMP.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- SARS-CoV-2 Diagnostics Based on Nucleic Acids Amplification: From Fundamental Concepts to Applications and Beyond.Frontiers in cellular and infection microbiology · 2022Review
- Article
- A molecular test based on RT-LAMP for rapid, sensitive and inexpensive colorimetric detection of SARS-CoV-2 in clinical samples.Scientific reports · 2021Article
- Novel coronavirus disease (COVID-19) pandemic: A recent mini review.Computational and structural biotechnology journal · 2021Review
- SARS-CoV-2 detection by a clinical diagnostic RT-LAMP assay.Wellcome open research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
40 authors at 6 institutions in 2 countries.
Funding
Abstract
The ongoing pandemic of SARS-CoV-2 calls for rapid and cost-effective methods to accurately identify infected individuals. The vast majority of patient samples is assessed for viral RNA presence by RT-qPCR. Our biomedical research institute, in collaboration between partner hospitals and an accredited clinical diagnostic laboratory, established a diagnostic testing pipeline that has reported on more than 252,000 RT-qPCR results since its commencement at the beginning of April 2020. However, due to ongoing demand and competition for critical resources, alternative testing strategies were sought. In this work, we present a clinically-validated procedure for high-throughput SARS-CoV-2 detection by RT-LAMP that is robust, reliable, repeatable, specific, and inexpensive.
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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.