Evidence map›Paper›PMID 34587181›Full record

ArticlePloS one2021

Highly sensitive scent-detection of COVID-19 patients in vivo by trained dogs.

Omar Vesga, Maria Agudelo, Andrés F Valencia-Jaramillo, Alejandro Mira-Montoya, Felipe Ossa-Ospina, Esteban Ocampo, Karl Čiuoderis, Laura Pérez, Andrés Cardona, Yudy Aguilar and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Trained dogs can detect the odor of Parkinson's disease.Journal of Parkinson's disease · 2025
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  11. In search of COVID-19: The ability of biodetection canines to detect COVID-19 odours from clinical samples.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2022
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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

13 authors at 5 institutions in 2 countries.

Omar VesgaSection of Infectious Diseases, Hospital Universitario San Vicente Fundación, Medellín, Colombia.ORCID 0000-0002-4308-7930
Maria AgudeloSection of Infectious Diseases, Hospital Universitario San Vicente Fundación, Medellín, Colombia.
Andrés F Valencia-JaramilloGRIPE, Universidad de Antioquia, Medellín, Colombia.
Alejandro Mira-MontoyaGRIPE, Universidad de Antioquia, Medellín, Colombia.
Felipe Ossa-OspinaGRIPE, Universidad de Antioquia, Medellín, Colombia.
Esteban OcampoColina K-9, La Ceja, Colombia.
Karl ČiuoderisColombia/Wisconsin One-Health Consortium, Departamento de Materiales, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Colombia.
Laura PérezColombia/Wisconsin One-Health Consortium, Departamento de Materiales, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Colombia.
Andrés CardonaColombia/Wisconsin One-Health Consortium, Departamento de Materiales, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Colombia.ORCID 0000-0002-2125-5809
Yudy AguilarGRIPE, Universidad de Antioquia, Medellín, Colombia.
Yuli AgudeloSection of Infectious Diseases, Hospital Universitario San Vicente Fundación, Medellín, Colombia.ORCID 0000-0001-6673-8970
Juan P Hernández-OrtizColombia/Wisconsin One-Health Consortium, Departamento de Materiales, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Colombia.ORCID 0000-0003-0404-9947
Jorge E OsorioColombia/Wisconsin One-Health Consortium, Departamento de Materiales, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Colombia.
Universidad de Antioquia · COHospital Universitario de San Vicente Fundación · COUniversidad Nacional de Colombia · COUniversity of Wisconsin–Madison · USCentro de Investigación de la Caña de Azúcar de Colombia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely and accurate diagnostics are essential to fight the COVID-19 pandemic, but no test satisfies both conditions. Dogs can scent-identify the unique odors of volatile organic compounds generated during infection by interrogating specimens or, ideally, the body of a patient. After training 6 dogs to detect SARS-CoV-2 by scent in human respiratory secretions (in vitro diagnosis), we retrained 5 of them to search and find the infection by scenting the patient directly (in vivo screening). Then, efficacy trials were designed to compare the diagnostic performance of the dogs against that of the rRT-PCR in 848 human subjects: 269 hospitalized patients (COVID-19 prevalence 30.1%), 259 hospital staff (prevalence 2.7%), and 320 government employees (prevalence 1.25%). The limit of detection in vitro was lower than 10-12 copies ssRNA/mL. During in vivo efficacy experiments, our 5 dogs detected 92 COVID-19 positive patients among the 848 study subjects. The alert (lying down) was immediate, with 95.2% accuracy and high sensitivity (95.9%; 95% C.I. 93.6-97.4), specificity (95.1%; 94.4-95.8), positive predictive value (69.7%; 65.9-73.2), and negative predictive value (99.5%; 99.2-99.7) in relation to rRT-PCR. Seventy-five days after finishing in vivo efficacy experiments, a real-life study (in vivo effectiveness) was executed among the riders of the Metro System of Medellin, deploying the human-canine teams without previous training or announcement. Three dogs were used to examine the scent of 550 volunteers who agreed to participate, both in test with canines and in rRT-PCR testing. Negative predictive value remained at 99.0% (95% C.I. 98.3-99.4), but positive predictive value dropped to 28.2% (95% C.I. 21.1-36.7). Canine scent-detection in vivo is a highly accurate screening test for COVID-19, and it detects more than 99% of infected individuals independent of key variables, such as disease prevalence, time post-exposure, or presence of symptoms. Additional training is required to teach the dogs to ignore odoriferous contamination under real-life conditions.

Indexed as

AnimalsCOVID-19DogsFemaleHumansMaleMass ScreeningOdorantsPheromonesPredictive Value of TestsSARS-CoV-2Sensitivity and SpecificityVolatile Organic CompoundsWorking DogsPheromonesVolatile Organic Compounds

Identifiers

PMID34587181
PMCPMC8480816
OpenAlexW3204606755

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.