Evidence map›Paper›PMID 37632054›Full record

ArticleViruses2023

Frequency of Atypical Mutations in the Spike Glycoprotein in SARS-CoV-2 Circulating from July 2020 to July 2022 in Central Italy: A Refined Analysis by Next Generation Sequencing.

Maria Concetta Bellocchi, Rossana Scutari, Luca Carioti, Marco Iannetta, Greta Marchegiani, Lorenzo Piermatteo, Luigi Coppola, Simona Tedde, Leonardo Duca, Vincenzo Malagnino and 12 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. 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
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 6 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

22 authors at 2 institutions in 1 country.

Maria Concetta BellocchiDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0001-7717-2343
Rossana ScutariDepartment of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.
Luca CariotiDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0003-1713-8682
Marco IannettaInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-6938-8627
Greta MarchegianiDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Lorenzo PiermatteoDepartment of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-3500-0858
Luigi CoppolaInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Simona TeddeInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Leonardo DucaDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Vincenzo MalagninoInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-6561-5298
Lorenzo AnsaldoInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0003-1597-3393
Neva BraccialargheInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0009-0001-5168-7477
Stefano D AnnaDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Maria Mercedes SantoroDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-6228-1114
Andrea Di LorenzoInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0009-0008-1772-196X
Romina SalpiniDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Elisabetta TetiInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Valentina SvicherDepartment of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.
Massimo AndreoniInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Loredana SarmatiInfectious Disease Unit, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0003-1452-0333
Francesca Ceccherini-SilbersteinDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
On Behalf Of The Ptv-Utv-Id-Covid Group
University of Rome Tor Vergata · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we provided a retrospective overview in order to better define SARS-CoV-2 variants circulating in Italy during the first two years of the pandemic, by characterizing the spike mutational profiles and their association with viral load (expressed as ct values), N-glycosylation pattern, hospitalization and vaccination. Next-generation sequencing (NGS) data were obtained from 607 individuals (among them, 298 vaccinated and/or 199 hospitalized). Different rates of hospitalization were observed over time and among variants of concern (VOCs), both in the overall population and in vaccinated individuals (Alpha: 40.7% and 31.3%, Beta: 0%, Gamma: 36.5% and 44.4%, Delta: 37.8% and 40.2% and Omicron: 11.2% and 7.1%, respectively, both

Indexed as

COVID-19Spike Glycoprotein, CoronavirusGlycoproteinsHigh-Throughput Nucleotide SequencingHumansItalyMutationRetrospective StudiesSARS-CoV-2GlycoproteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19epidemiologyN-glycosylationSARS-CoV-2spikevariants of concern

Identifiers

PMID37632054
PMCPMC10458583
OpenAlexW4385699850

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.