Evidence map›Paper›PMID 33916661›Full record

ArticleSensors (Basel, Switzerland)2021

CovidArray: A Microarray-Based Assay with High Sensitivity for the Detection of Sars-Cov-2 in Nasopharyngeal Swabs.

Francesco Damin, Silvia Galbiati, Stella Gagliardi, Cristina Cereda, Francesca Dragoni, Claudio Fenizia, Valeria Savasi, Laura Sola, Marcella Chiari

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  9. A review on the recent achievements on coronaviruses recognition using electrochemical detection methods.Microchemical journal : devoted to the application of microtechniques in all branches of science · 2022
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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

9 authors at 5 institutions in 1 country.

Francesco DaminIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" SCITEC CNR, 20131 Milan, Italy.ORCID 0000-0003-1780-7823
Silvia GalbiatiComplications of Diabetes Units, Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Stella GagliardiGenomic and Post Genomic Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy.ORCID 0000-0002-6589-6907
Cristina CeredaGenomic and Post Genomic Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy.
Francesca DragoniGenomic and Post Genomic Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy.ORCID 0000-0001-7608-3306
Claudio FeniziaDepartment of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy.ORCID 0000-0003-0735-8331
Valeria SavasiUnit of Obstetrics and Gynecology, L. Sacco Hospital ASST Fatebenefratelli Sacco, 20157 Milan, Italy.ORCID 0000-0002-1476-7689
Laura SolaIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" SCITEC CNR, 20131 Milan, Italy.ORCID 0000-0002-2603-0318
Marcella ChiariIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" SCITEC CNR, 20131 Milan, Italy.
Istituto di Scienze e Tecnologie Chimiche "Giulio Natta"Italian institute for Genomic Medicine · ITUniversity of Milan · ITUniversity of Pavia · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new coronavirus (SARS-CoV-2) caused the current coronavirus disease (Covid-19) epidemic. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is used as the gold standard for clinical detection of SARS-CoV-2. Under ideal conditions, RT-qPCR Covid-19 assays have analytical sensitivity and specificity greater than 95%. However, when the sample panel is enlarged including asymptomatic individuals, the sensitivity decreases and false negatives are reported. Moreover, RT-qPCR requires up to 3-6 h with most of the time involved in RNA extraction from swab samples. We introduce CovidArray, a microarray-based assay, to detect SARS-CoV-2 markers N1 and N2 in the nasopharyngeal swabs. The method is based on solid-phase hybridization of fluorescently-labeled amplicons upon RNA extraction and reverse transcription. This approach combines the physical-optical properties of the silicon substrate with the surface chemistry used to coat the substrate to obtain a diagnostic tool of great sensitivity. Furthermore, we used an innovative approach, RNAGEM, to extract and purify viral RNA in less than 15 min. We correctly assigned 12 nasopharyngeal swabs, previously analyzed by RT-qPCR. Thanks to the CovidArray sensitivity we were able to identify a false-negative sample. CovidArray is the first DNA microarray-based assay to detect viral genes in the swabs. Its high sensitivity and the innovative viral RNA extraction by RNAGEM allows the reduction of both the amount of false-negative results and the total analysis time to about 2 h.

Indexed as

COVID-19SARS-CoV-2HumansReal-Time Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityRNA, ViralCovid-19microarraymicroarray-based assaymolecular diagnosticsRT-qPCRSARS-CoV-2

Identifiers

PMID33916661
PMCPMC8038375
OpenAlexW3124798316

What OpenQuestion holds

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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.