Evidence map›Paper›PMID 34183720›Full record

ArticleScientific reports2021

A rapid near-patient detection system for SARS-CoV-2 using saliva.

Noah B Toppings, Abu Naser Mohon, Yoonjung Lee, Hitendra Kumar, Daniel Lee, Ratik Kapoor, Gurmukh Singh, Lisa Oberding, Omar Abdullah, Keekyoung Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  9. Moving towards on-site detection of Shiga toxin-producingCurrent research in food science · 2024
    Article
  10. 'CoviSwiftJournal of virological methods · 2023
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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

12 authors at 2 institutions in 1 country.

Noah B ToppingsDepartment of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary, AB, Canada.
Abu Naser MohonDepartment of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary, AB, Canada.
Yoonjung LeeDepartment of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada.
Hitendra KumarDepartment of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada.
Daniel LeeDepartment of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada.
Ratik KapoorDepartment of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada.
Gurmukh SinghDepartment of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada.
Lisa OberdingDepartment of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary, AB, Canada.
Omar AbdullahDepartment of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary, AB, Canada.
Keekyoung KimDepartment of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada.
Byron M BerengerClinical Section of Microbiology, Alberta Precision Laboratories, Calgary, AB, Canada.
Dylan R PillaiDepartment of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary, AB, Canada. drpillai@ucalgary.ca.
University of Calgary · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The highly infectious nature of SARS-CoV-2 necessitates the use of widespread testing to control the spread of the virus. Presently, the standard molecular testing method (reverse transcriptase-polymerase chain reaction, RT-PCR) is restricted to the laboratory, time-consuming, and costly. This increases the turnaround time for getting test results. This study sought to develop a rapid, near-patient saliva-based test for COVID-19 (Saliva-Dry LAMP) with similar accuracy to that of standard RT-PCR tests. A lyophilized dual-target reverse transcription-loop-mediated isothermal amplification (RT-LAMP) test with fluorometric detection by the naked eye was developed. The assay relies on dry reagents that are room temperature stable. A device containing a centrifuge, heat block, and blue LED light system was manufactured to reduce the cost of performing the assay. This test has a limit of detection of 1 copy/µL and achieved a positive percent agreement of 100% [95% CI 88.43% to 100.0%] and a negative percent agreement of 96.7% [95% CI 82.78-99.92%] relative to a reference standard test. Saliva-Dry LAMP can be completed in 105 min. Precision, cross-reactivity, and interfering substances analysis met international regulatory standards. The combination of ease of sample collection, dry reagents, visual detection, low capital equipment cost, and excellent analytical sensitivity make Saliva-Dry LAMP particularly useful for resource-limited settings.

Indexed as

COVID-19FluorometryHumansLimit of DetectionMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesReference StandardsRNA, ViralSalivaSARS-CoV-2Sensitivity and SpecificityTemperatureRNA, Viral

Identifiers

PMID34183720
PMCPMC8238998
OpenAlexW3176287598

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.