Evidence map›Paper›PMID 35388102›Full record

ArticleScientific reports2022

SaliVISION: a rapid saliva-based COVID-19 screening and diagnostic test with high sensitivity and specificity.

Samuel M DeFina, Jianhui Wang, Lei Yang, Han Zhou, Jennifer Adams, William Cushing, Beth Tuohy, Pei Hui, Chen Liu, Kien Pham

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

10 authors.

Samuel M DeFinaDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, USA.
Jianhui WangDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, USA.
Lei YangDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, USA.
Han ZhouDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, USA.
Jennifer AdamsDepartment of Laboratory Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.
William CushingDepartment of Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.
Beth TuohyYale University Health Services, Yale University, New Haven, CT, USA.
Pei HuiDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, USA.
Chen LiuDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, USA. chen.liu@yale.edu.
Kien PhamDepartment of Pathology, Yale School of Medicine, Yale University, New Haven, CT, USA. kien.pham@yale.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coronavirus disease 2019 (COVID-19) pandemic-caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)- has posed a global threat and presented with it a multitude of economic and public-health challenges. Establishing a reliable means of readily available, rapid diagnostic testing is of paramount importance in halting the spread of COVID-19, as governments continue to ease lockdown restrictions. The current standard for laboratory testing utilizes reverse transcription quantitative polymerase chain reaction (RT-qPCR); however, this method presents clear limitations in requiring a longer run-time as well as reduced on-site testing capability. Therefore, we investigated the feasibility of a reverse transcription looped-mediated isothermal amplification (RT-LAMP)-based model of rapid COVID-19 diagnostic testing which allows for less invasive sample collection, named SaliVISION. This novel, two-step, RT-LAMP assay utilizes a customized multiplex primer set specifically targeting SARS-CoV-2 and a visual report system that is ready to interpret within 40 min from the start of sample processing and does not require a BSL-2 level testing environment or special laboratory equipment. When compared to the SalivaDirect and Thermo Fisher Scientific TaqPath RT-qPCR testing platforms, the respective sensitivities of the SaliVISION assay are 94.29% and 98.28% while assay specificity was 100% when compared to either testing platform. Our data illustrate a robust, rapid diagnostic assay in our novel RT-LAMP test design, with potential for greater testing throughput than is currently available through laboratory testing and increased on-site testing capability.

Indexed as

COVID-19Communicable Disease ControlCOVID-19 TestingDiagnostic Tests, RoutineHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRNA, ViralSalivaSARS-CoV-2Sensitivity and SpecificityRNA, Viral

Identifiers

PMID35388102
PMCPMC8986854

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Registered trials

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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.