Evidence map›Paper›PMID 35395856›Full record

ArticleScientific reports2022

Validation of a rapid, saliva-based, and ultra-sensitive SARS-CoV-2 screening system for pandemic-scale infection surveillance.

Robert E Dewhurst, Tatjana Heinrich, Paul Watt, Paul Ostergaard, Jose M Marimon, Mariana Moreira, Philip E Houldsworth, Jack D Rudrum, David Wood, Sulev Kõks

Open access · goldAbstract 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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Robert E Dewhurst *Perron Institute for Neurological and Translational Science, Perth, WA, 6009, Australia.
Tatjana Heinrich *Perron Institute for Neurological and Translational Science, Perth, WA, 6009, Australia.
Paul WattAvicena Systems Ltd, West Perth, WA, 6005, Australia.
Paul OstergaardAvicena Systems Ltd, West Perth, WA, 6005, Australia.
Jose M MarimonBiodonostia Health Research Institute, Infectious Diseases Area, Osakidetza Basque Health Service, Donostialdea Integrated Health Organization, San Sebastián, Spain.
Mariana MoreiraLancs Lamp Laboratory, Heatley House, Bowran Street, Preston, PR1 2UX, UK.
Philip E HouldsworthLancs Lamp Laboratory, Heatley House, Bowran Street, Preston, PR1 2UX, UK.
Jack D RudrumPerron Institute for Neurological and Translational Science, Perth, WA, 6009, Australia.
David WoodUniversity of Western Australia, Perth, WA, 6009, Australia.
Sulev KõksPerron Institute for Neurological and Translational Science, Perth, WA, 6009, Australia. sulev.koks@perron.uwa.edu.au.
Perron Institute for Neurological and Translational Science · AUAgriculture Victoria Services (Australia) · AUMurdoch University · AUOsakidetza · ESUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Without any realistic prospect of comprehensive global vaccine coverage and lasting immunity, control of pandemics such as COVID-19 will require implementation of large-scale, rapid identification and isolation of infectious individuals to limit further transmission. Here, we describe an automated, high-throughput integrated screening platform, incorporating saliva-based loop-mediated isothermal amplification (LAMP) technology, that is designed for population-scale sensitive detection of infectious carriers of SARS-CoV-2 RNA. Central to this surveillance system is the "Sentinel" testing instrument, which is capable of reporting results within 25 min of saliva sample collection with a throughput of up to 3840 results per hour. It incorporates continuous flow loading of samples at random intervals to cost-effectively adjust for fluctuations in testing demand. Independent validation of our saliva-based RT-LAMP technology on an automated LAMP instrument coined the "Sentinel", found 98.7% sensitivity, 97.6% specificity, and 98% accuracy against a RT-PCR comparator assay, confirming its suitability for surveillance screening. This Sentinel surveillance system offers a feasible and scalable approach to complement vaccination, to curb the spread of COVID-19 variants, and control future pandemics to save lives.

Indexed as

COVID-19SalivaHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPandemicsRNA, ViralSARS-CoV-2Sensitivity and SpecificityRNA, Viral

Identifiers

PMID35395856
PMCPMC8990279
OpenAlexW4223466852

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.