Evidence map›Paper›PMID 34877351›Full record

ArticleERJ open research2021

Salivary detection of COVID-19: clinical performance of oral sponge sampling for SARS-CoV-2 testing.

Jacques Boutros, Jonathan Benzaquen, Charles Hugo Marquette, Marius Ilié, Mickelina Labaky, Didier Benchetrit, Thibaut Lavrut, Sylvie Leroy, Richard Chemla, Michel Carles and 9 more

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

19 authors at 2 institutions in 1 country.

Jacques BoutrosDept of Pulmonary Medicine and Thoracic Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France.ORCID https://orcid.org/0000-0002-6468-1648
Jonathan BenzaquenDept of Pulmonary Medicine and Thoracic Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France.
Charles Hugo MarquetteDept of Pulmonary Medicine and Thoracic Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France.ORCID https://orcid.org/0000-0002-0846-9941
Marius IliéUniversité Côte d'Azur, CNRS, INSERM, Institute of Research on Cancer and Aging, Nice, France.
Mickelina LabakySYNLAB Barla, Nice, France.
Didier BenchetritSYNLAB Barla, Nice, France.
Thibaut LavrutUniversité Côte d'Azur, Centre Hospitalier Universitaire de Nice, Laboratoire de Virologie, CHU de Nice, Nice, France.
Sylvie LeroyDept of Pulmonary Medicine and Thoracic Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France.
Richard ChemlaVille de Nice, Nice, France.
Michel CarlesDept of Infectious Diseases, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, Nice, France.
Virginie TangaLaboratory of Clinical and Experimental Pathology (LPCE), Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Biobank (BB-0033-00025), Nice, France.
Charlotte ManielDept of Pulmonary Medicine and Thoracic Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France.
Olivier BordoneLaboratory of Clinical and Experimental Pathology (LPCE), Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Biobank (BB-0033-00025), Nice, France.
Maryline AllégraLaboratory of Clinical and Experimental Pathology (LPCE), Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Biobank (BB-0033-00025), Nice, France.
Virginie LespinetLaboratory of Clinical and Experimental Pathology (LPCE), Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Biobank (BB-0033-00025), Nice, France.
Julien FayadaLaboratory of Clinical and Experimental Pathology (LPCE), Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Biobank (BB-0033-00025), Nice, France.
Jennifer GriffonnetDept of Pulmonary Medicine and Thoracic Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France.
Véronique HofmanUniversité Côte d'Azur, CNRS, INSERM, Institute of Research on Cancer and Aging, Nice, France.
Paul HofmanUniversité Côte d'Azur, CNRS, INSERM, Institute of Research on Cancer and Aging, Nice, France.
Université Côte d'Azur · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current diagnostic standard for coronavirus disease 2019 (COVID-19) is reverse transcriptase-polymerase chain reaction (RT-PCR) testing with nasopharyngeal (NP) swabs. The invasiveness and need for trained personnel make the NP technique unsuited for repeated community-based mass screening. We developed a technique to collect saliva in a simple and easy way with the sponges that are usually used for tamponade of epistaxis. This study was carried out to validate the clinical performance of oral sponge (OS) sampling for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing.

methodsOver a period of 22 weeks, we collected prospectively 409 paired NP and OS samples from consecutive subjects presenting to a public community-based free screening centre. Subjects were referred by their attending physician because of recent COVID-19 symptoms (n = 147) or by the contact tracing staff of the French public health insurance because they were considered as close contacts of a laboratory-confirmed COVID-19 case (n = 262).

resultsIn symptomatic subjects, RT-PCR SARS-CoV-2 testing with OS showed a 96.5% (95% CI: 89.6-94.8) concordance with NP testing, and a 93.2% (95% CI: 89.1-97.3) sensitivity when using the IdyllaTM platform and a sensitivity of 76.3% (95% CI: 69.4-83.2) on the Synlab Barla laboratory platform. In close contacts the NP-OS concordance (93.8%, 95% CI: 90.9-96.7) and OS sensitivity (71.9%, 95% CI: 66.5-77.3) were slightly lower.

conclusionThese results strongly suggest that OS testing is a straightforward, low-cost and high-throughput sampling method that can be used for frequent RT-PCR testing of COVID-19 patients and mass screening of populations.

Identifiers

PMID34877351
PMCPMC8474486
OpenAlexW3202422112

What OpenQuestion holds

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LicenceCC BY-NC
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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.