Evidence map›Paper›PMID 33301539›Full record

ArticlePloS one2020

Can the detection dog alert on COVID-19 positive persons by sniffing axillary sweat samples? A proof-of-concept study.

Dominique Grandjean, Riad Sarkis, Clothilde Lecoq-Julien, Aymeric Benard, Vinciane Roger, Eric Levesque, Eric Bernes-Luciani, Bruno Maestracci, Pascal Morvan, Eric Gully and 34 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04578509 (Evaluation of a Screening Program for SARS-CoV-2 Infection in the General Population Based on the Use of New Detection Approaches or for Diagnostic Orientation on Saliva), which is not on this map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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.

NCT04578509 completednot on this map

Evaluation of a Screening Program for SARS-CoV-2 Infection in the General Population Based on the Use of New Detection Approaches or for Diagnostic Orientation on Saliva (COVID-19)

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2020 to 2021Enrolled5,197ConditionsSARS-CoV-2 Infection, COVID-19ArmsNasopharyngeal swab, Saliva sample, axillary sweat sample, Data collection
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Scent Detection Threshold of Trained Dogs toAnimals : an open access journal from MDPI · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Development of a safety protocol for training and using SARS-CoV-2 detection dogs: A pilot study.Journal of veterinary behavior : clinical applications and research : official journal of : Australian Veterinary Behaviour Interest Group, International Working Dog Breeding Association · 2023
    Article
  18. Review
  19. Article
  20. 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

44 authors at 5 institutions in 1 country.

Dominique GrandjeanEcole Nationale Vétérinaire d'Alfort, Université Paris Est, Maisons-Alfort, France.ORCID 0000-0002-8408-8358
Riad SarkisUniversité Franco-Libanaise St Joseph, Faculté de Médecine, Beirout, Lebanon.
Clothilde Lecoq-JulienEcole Nationale Vétérinaire d'Alfort, Université Paris Est, Maisons-Alfort, France.
Aymeric BenardService d'Incendie et de Secours de Corse du Sud, Ajaccio, France.
Vinciane RogerEcole Nationale Vétérinaire d'Alfort, Université Paris Est, Maisons-Alfort, France.
Eric LevesqueCentre Hospitalo-Universitaire Henri-Mondor, Université Paris Est-Créteil, Maisons-Alfort, France.
Eric Bernes-LucianiService d'Incendie et de Secours de Corse du Sud, Ajaccio, France.
Bruno MaestracciService d'Incendie et de Secours de Corse du Sud, Ajaccio, France.
Pascal MorvanDiagNose, Neuvy, France.ORCID 0000-0003-0890-9932
Eric GullyService Départemental d'Incendie et de Secours de Seine et Marne, Melun, France.
David Berceau-FalancourtCompagnie Cynophile de la Préfecture de Police, Paris, France.
Pierre HaufstaterHôpital Universitaire Pitié-Salpêtrière, Paris, France.
Gregory HerinBiodesive SAS, Strasbourg, France.
Joaquin CabreraEcole Nationale Vétérinaire d'Alfort, Université Paris Est, Maisons-Alfort, France.
Quentin MuzzinEcole Nationale Vétérinaire d'Alfort, Université Paris Est, Maisons-Alfort, France.
Capucine GalletEcole Nationale Vétérinaire d'Alfort, Université Paris Est, Maisons-Alfort, France.
Hélène BacquéEcole Nationale Vétérinaire d'Alfort, Université Paris Est, Maisons-Alfort, France.
Jean-Marie BrocHôpital d'Instruction des Armées Bégin, Saint-Mandé, France.
Leo ThomasHôpital d'Instruction des Armées Bégin, Saint-Mandé, France.
Anthony LichaaUniversité Franco-Libanaise St Joseph, Faculté de Médecine, Beirout, Lebanon.ORCID 0000-0002-3582-4187
Georges MoujaesUniversité Franco-Libanaise St Joseph, Faculté de Médecine, Beirout, Lebanon.
Michele SalibaUniversité Franco-Libanaise St Joseph, Faculté de Médecine, Beirout, Lebanon.
Aurore KuhnHôpital d'Instruction des Armées Bégin, Saint-Mandé, France.
Mathilde GaleyHôpital d'Instruction des Armées Bégin, Saint-Mandé, France.
Benoit BerthailHôpital d'Instruction des Armées Bégin, Saint-Mandé, France.
Lucien LapeyreCentre Hospitalo-Universitaire Henri-Mondor, Université Paris Est-Créteil, Maisons-Alfort, France.
Anthoni CapelliDiagNose, Neuvy, France.
Steevens RenaultDiagNose, Neuvy, France.
Karim BachirDiagNose, Neuvy, France.
Anthony KovingerDiagNose, Neuvy, France.
Eric ComasService Départemental d'Incendie et de Secours de Seine et Marne, Melun, France.
Aymeric StainmesseService Départemental d'Incendie et de Secours de Seine et Marne, Melun, France.
Erwan EtienneService Départemental d'Incendie et de Secours de Seine et Marne, Melun, France.
Sébastien VoeltzelService Départemental d'Incendie et de Secours de Seine et Marne, Melun, France.
Sofiane MansouriService Départemental d'Incendie et de Secours de Seine et Marne, Melun, France.
Marlène Berceau-FalancourtCynopro Dectection Dogs, Paris, France.
Aimé DamiService d'Incendie et de Secours de Corse du Sud, Ajaccio, France.
Lary CharletService Départemental d'Incendie et de Secours de Seine et Marne, Melun, France.
Eric RuauService Départemental d'Incendie et de Secours de Seine et Marne, Melun, France.
Mario IssaUniversité Franco-Libanaise St Joseph, Faculté de Médecine, Beirout, Lebanon.
Carine GrenetGrand Hôpital de l'Est Francilien, Jossigny, France.
Christophe BillyCentre Hospitalier François Quesnay, Mantes-la-Jolie, France.
Jean-Pierre TourtierCentre Hospitalo-Universitaire Henri-Mondor, Université Paris Est-Créteil, Maisons-Alfort, France.
Loïc DesquilbetEcole Nationale Vétérinaire d'Alfort, Université Paris Est, Maisons-Alfort, France.
École Nationale Vétérinaire d'Alfort · FRHôpital d'Instruction des Armées Bégin · FRDélégation Régionale Provence-Alpes-Côte d’Azur et Corse · FRUniversité Paris-Est Créteil · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this proof-of-concept study was to evaluate if trained dogs could discriminate between sweat samples from symptomatic COVID-19 positive individuals (SARS-CoV-2 PCR positive) and those from asymptomatic COVID-19 negative individuals. The study was conducted at 2 sites (Paris, France, and Beirut, Lebanon), followed the same training and testing protocols, and involved six detection dogs (three explosive detection dogs, one search and rescue dog, and two colon cancer detection dogs). A total of 177 individuals were recruited for the study (95 symptomatic COVID-19 positive and 82 asymptomatic COVID-19 negative individuals) from five hospitals, and one underarm sweat sample per individual was collected. The dog training sessions lasted between one and three weeks. Once trained, the dog had to mark the COVID-19 positive sample randomly placed behind one of three or four olfactory cones (the other cones contained at least one COVID-19 negative sample and between zero and two mocks). During the testing session, a COVID-19 positive sample could be used up to a maximum of three times for one dog. The dog and its handler were both blinded to the COVID-positive sample location. The success rate per dog (i.e., the number of correct indications divided by the number of trials) ranged from 76% to 100%. The lower bound of the 95% confidence interval of the estimated success rate was most of the time higher than the success rate obtained by chance after removing the number of mocks from calculations. These results provide some evidence that detection dogs may be able to discriminate between sweat samples from symptomatic COVID-19 individuals and those from asymptomatic COVID-19 negative individuals. However, due to the limitations of this proof-of-concept study (including using some COVID-19 samples more than once and potential confounding biases), these results must be confirmed in validation studies.

Indexed as

Working DogsAnimalsCOVID-19COVID-19 TestingDogsFemaleFranceHumansLebanonMaleProof of Concept StudySARS-CoV-2SmellSweat

Identifiers

PMID33301539
PMCPMC7728218
OpenAlexW3113145039

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.