Evidence map›Paper›PMID 38062105›Full record

ArticleScientific reports2023

Rapid monitoring of SARS-CoV-2 variants of concern through high-resolution melt analysis.

Aurora Diotallevi, Gloria Buffi, Simone Barocci, Marcello Ceccarelli, Daniela Bencardino, Francesca Andreoni, Chiara Orlandi, Marilisa Ferri, Daniela Vandini, Stefano Menzo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

14 authors at 1 institution in 1 country.

Aurora DiotalleviSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy. aurora.diotallevi@uniurb.it.
Gloria BuffiSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
Simone BarocciDepartment of Clinical Pathology, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino, Marche, 61029, Urbino, PU, Italy.
Marcello CeccarelliSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
Daniela BencardinoSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
Francesca AndreoniSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
Chiara OrlandiSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
Marilisa FerriDepartment of Clinical Pathology, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino, Marche, 61029, Urbino, PU, Italy.
Daniela VandiniDepartment of Clinical Pathology, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino, Marche, 61029, Urbino, PU, Italy.
Stefano MenzoVirology Laboratory, Azienda Ospedaliero Universitaria delle Marche, 60126, Ancona, AN, Italy.
Eugenio CarlottiDepartment of Prevention, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino Marche, 61029, Urbino, PU, Italy.
Anna CasabiancaSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
Mauro MagnaniSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
Luca GalluzziSection of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
University of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current global pandemic of COVID-19 is characterized by waves of infection due to the emergence of new SARS-CoV-2 variants carrying mutations on the Spike (S) protein gene. Since autumn 2020 many Variants of Concern (VOC) have been reported: Alpha/B.1.1.7, Beta/B.1.351, Gamma/P.1, Delta/B.1.617.2, Omicron/B.1.1.529, and sublineages. Surveillance of genomic variants is currently based on whole-genome sequencing (WGS) of viral genomes on a random fraction of samples positive to molecular tests. WGS involves high costs, extended analysis time, specialized staff, and expensive instruments compared to a PCR-based test. To rapidly identify the VOCs in positive samples, six assays based on real-time PCR and high-resolution melting (HRM) were designed on the S gene and applied to 120 oro/nasopharyngeal swab samples collected from October 2020 to June 2022 (106 positive and 14 negative samples). Overall, the assays showed 100% specificity and sensitivity compared with commercial PCR tests for COVID-19. Moreover, 104 samples out of 106 (98.1%) were correctly identified as follows: 8 Wuhan (wild type), 12 Alpha, 23 Delta, 46 Omicron BA.1/BA.1.1, 15 Omicron BA.2/BA.4/BA.5. With our lab equipment, about 10 samples can be processed every 3 h at the cost of less than € 10 ($ 10.60) per sample, including RNA extraction. The implementation of this approach could help local epidemiological surveillance and clinical decision-making.

Indexed as

COVID-19SARS-CoV-2Biological AssayHumansReal-Time Polymerase Chain Reaction

Identifiers

PMID38062105
PMCPMC10703772
OpenAlexW4389436485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.