Evidence map›Paper›PMID 35215902›Full record

ArticleViruses2022

A Community Study of SARS-CoV-2 Detection by RT-PCR in Saliva: A Reliable and Effective Method.

Filippo Fronza, Nelli Groff, Angela Martinelli, Beatrice Zita Passerini, Nicolò Rensi, Irene Cortelletti, Nicolò Vivori, Valentina Adami, Anna Helander, Simone Bridi and 17 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-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

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

  1. Pooled it
  2. Article
  3. Review
  4. 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

27 authors at 4 institutions in 1 country.

Filippo FronzaDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0002-5151-9879
Nelli GroffDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0002-8716-2074
Angela MartinelliDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0001-6442-3190
Beatrice Zita PasseriniDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0002-2238-2148
Nicolò RensiDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0002-9880-5960
Irene CortellettiDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0002-7553-1653
Nicolò VivoriDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0001-6850-6233
Valentina AdamiDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Anna HelanderDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Simone BridiDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Michael PancherDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Valentina GrecoDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Sonia Iolanda GarritanoDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Elena PifferDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Lara StefaniDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Veronica De SanctisDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0002-9791-5316
Roberto BertorelliDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Serena PancheriAzienda Provinciale per i Servizi Sanitari, 38123 Trento, Italy.
Lucia ColliniAzienda Provinciale per i Servizi Sanitari, 38123 Trento, Italy.
Erik DassiDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0003-4487-0449
Alessandro QuattroneDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Maria Rosaria CapobianchiNational Institute for Infectious Diseases "L. Spallanzani", 00149 Roma, Italy.
Giancarlo IcardiDepartment of Health Sciences, University of Genova, 16132 Genova, Italy.ORCID 0000-0002-8463-8487
Guido PoliVita-Salute San Raffaele University, 20132 Milano, Italy.ORCID 0000-0001-7241-4526
Patrizio CaciagliDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.
Antonio FerroAzienda Provinciale per i Servizi Sanitari, 38123 Trento, Italy.
Massimo PizzatoDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy.ORCID 0000-0002-9491-1483
University of Trento · ITIstituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · ITUniversity of Genoa · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient, wide-scale testing for SARS-CoV-2 is crucial for monitoring the incidence of the infection in the community. The gold standard for COVID-19 diagnosis is the molecular analysis of epithelial secretions from the upper respiratory system captured by nasopharyngeal (NP) or oropharyngeal swabs. Given the ease of collection, saliva has been proposed as a possible substitute to support testing at the population level. Here, we used a novel saliva collection device designed to favour the safe and correct acquisition of the sample, as well as the processivity of the downstream molecular analysis. We tested 1003 nasopharyngeal swabs and paired saliva samples self-collected by individuals recruited at a public drive-through testing facility. An overall moderate concordance (68%) between the two tests was found, with evidence that neither system can diagnose the infection in 100% of the cases. While the two methods performed equally well in symptomatic individuals, their discordance was mainly restricted to samples from convalescent subjects. The saliva test was at least as effective as NP swabs in asymptomatic individuals recruited for contact tracing. Our study describes a testing strategy of self-collected saliva samples, which is reliable for wide-scale COVID-19 screening in the community and is particularly effective for contact tracing.

Indexed as

COVID-19COVID-19 Nucleic Acid TestingFemaleHumansMaleMass ScreeningNasopharynxReverse Transcriptase Polymerase Chain ReactionRNA, ViralSalivaSARS-CoV-2Specimen HandlingRNA, ViralCOVID-19molecular diagnosissaliva testingSARS-CoV-2 detection

Identifiers

PMID35215902
PMCPMC8878650
OpenAlexW4210618144

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.