ArticlePloS one2024
Clinical validation of RCSMS: A rapid and sensitive CRISPR-Cas12a test for the molecular detection of SARS-CoV-2 from saliva.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 5 citations in OpenAlex.
- From Molecular Recognition to Clinical Readout: Design Principles for Functional Nucleic Acid-Material Biosensors in Medical Diagnostics.Molecules (Basel, Switzerland) · 2026Review
- CRISPR-Cas-Based Diagnostics in Biomedicine: Principles, Applications, and Future Trajectories.Biosensors · 2025Review
- Multianalyte nano-biosensor diagnostics: advances through microfluidic and AI integration.Frontiers in bioengineering and biotechnology · 2025Review
- Au@Pt@Pd nanozymes based lateral flow immunoassay for quantitative detection of SARS-CoV-2 nucleocapsid protein in nasal swab samples.Mikrochimica acta · 2024Article
- RT-LAMP CRISPR-Cas12/13-Based SARS-CoV-2 Detection Methods.Diagnostics (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 7 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peru's holds the highest COVID death rate per capita worldwide. Key to this outcome is the lack of robust, rapid, and accurate molecular tests to circumvent the elevated costs and logistics of SARS-CoV-2 detection via RT-qPCR. To facilitate massive and timely COVID-19 testing in rural and socioeconomically deprived contexts, we implemented and validated RCSMS, a rapid and sensitive CRISPR-Cas12a test for the molecular detection of SARS-CoV-2 from saliva. RCSMS uses the power of CRISPR-Cas technology and lateral flow strips to easily visualize the presence of SARS-CoV-2 even in laboratories with limited equipment. We show that a low-cost thermochemical treatment with TCEP/EDTA is sufficient to inactivate viral particles and cellular nucleases in saliva, eliminating the need to extract viral RNA with commercial kits, as well as the cumbersome nasopharyngeal swab procedure and the requirement of biosafety level 2 laboratories for molecular analyses. Notably, RCSMS performed outstandingly in a clinical validation done with 352 patients from two hospitals in Lima, detecting as low as 50 viral copies per 10 μl reaction in 40 min, with sensitivity and specificity of 96.5% and 99.0%, respectively, relative to RT-qPCR. The negative and positive predicted values obtained from this field validation indicate that RCSMS can be confidently deployed in both high and low prevalence settings. Like other CRISPR-Cas-based biosensors, RCSMS can be easily reprogrammed for the detection of new SARS-CoV-2 variants. We conclude that RCSMS is a fast, efficient and inexpensive alternative to RT-qPCR for expanding COVID-19 testing capacity in Peru and other low- and middle-income countries with precarious healthcare systems.
Indexed as
Identifiers
What OpenQuestion holds
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.