Evidence map›Paper›PMID 32705153›Full record

ArticleInternational journal of molecular medicine2020

Sensitivity assessment of droplet digital PCR for SARS-CoV-2 detection.

Luca Falzone, Nicolò Musso, Giuseppe Gattuso, Dafne Bongiorno, Concetta Ilenia Palermo, Guido Scalia, Massimo Libra, Stefania Stefani

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed
4.8field-weighted citation impact, top 3% 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

129 citing papers in PubMed, 226 citations in OpenAlex.

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  17. Long COVID: Molecular Mechanisms and Detection Techniques.International journal of molecular sciences · 2023
    Review
  18. Article
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69 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 1 country.

Luca FalzoneEpidemiology Unit, IRCCS Istituto Nazionale Tumori 'Fondazione G. Pascale', I‑80131 Naples, Italy.
Nicolò MussoDepartment of Biomedical and Biotechnological Sciences, Section of Microbiology, University of Catania, I‑95123 Catania, Italy.
Giuseppe GattusoDepartment of Biomedical and Biotechnological Sciences, Section of General Pathology, University of Catania, I‑95123 Catania, Italy.
Dafne BongiornoDepartment of Biomedical and Biotechnological Sciences, Section of Microbiology, University of Catania, I‑95123 Catania, Italy.
Concetta Ilenia PalermoU.O.C. Laboratory Analysis Unit, A.O.U. 'Policlinico‑Vittorio Emanuele', I‑95123 Catania, Italy.
Guido ScaliaDepartment of Biomedical and Biotechnological Sciences, Section of Microbiology, University of Catania, I‑95123 Catania, Italy.
Massimo LibraDepartment of Biomedical and Biotechnological Sciences, Section of General Pathology, University of Catania, I‑95123 Catania, Italy.
Stefania StefaniDepartment of Biomedical and Biotechnological Sciences, Section of Microbiology, University of Catania, I‑95123 Catania, Italy.
University of Catania · ITAzienda Ospedaliero-Universitaria Policlinico - Vittorio Emanuele · ITIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) is the gold standard method for the diagnosis of COVID‑19 infection. Due to pre‑analytical and technical limitations, samples with low viral load are often misdiagnosed as false‑negative samples. Therefore, it is important to evaluate other strategies able to overcome the limits of RT‑qPCR. Blinded swab samples from two individuals diagnosed positive and negative for COVID‑19 were analyzed by droplet digital PCR (ddPCR) and RT‑qPCR in order to assess the sensitivity of both methods. Intercalation chemistries and a World Health Organization (WHO)/Center for Disease Control and Prevention (CDC)‑approved probe for the SARS‑CoV‑2 N gene were used. SYBR‑Green RT‑qPCR is not able to diagnose as positive samples with low viral load, while, TaqMan Probe RT‑qPCR gave positive signals at very late Ct values. On the contrary, ddPCR showed higher sensitivity rate compared to RT‑qPCR and both EvaGreen and probe ddPCR were able to recognize the sample with low viral load as positive even at 10‑fold diluted concentration. In conclusion, ddPCR shows higher sensitivity and specificity compared to RT‑qPCR for the diagnosis of COVID‑19 infection in false‑negative samples with low viral load. Therefore, ddPCR is strongly recommended in clinical practice for the diagnosis of COVID‑19 and the follow‑up of positive patients until complete remission.

Indexed as

BetacoronavirusCoronavirus InfectionsCoronavirus Nucleocapsid ProteinsCOVID-19HumansNucleocapsid ProteinsPandemicsPhosphoproteinsPneumonia, ViralPolyproteinsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, ViralSARS-CoV-2Sensitivity and SpecificitySpike Glycoprotein, CoronavirusCoronavirus Nucleocapsid Proteinsnucleocapsid phosphoprotein, SARS-CoV-2Nucleocapsid ProteinsORF1ab polyprotein, SARS-CoV-2PhosphoproteinsPolyproteinsRNA, ViralSpike Glycoprotein, Coronavirusspike glycoprotein, SARS-CoVViral Proteins

Identifiers

PMID32705153
PMCPMC7388836
OpenAlexW3041771467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.