Trial reportBMC infectious diseases2020
Scent dog identification of samples from COVID-19 patients - a pilot study.
Trial report in BMC infectious diseases, 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 75 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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)
Who cites it
75 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.
- Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review.Integrative cancer therapiesPooled it
- Sniffer dogs performance is stable over time in detecting COVID-19 positive samples and agrees with the rapid antigen test in the field.Scientific reports · 2023Trial
- Scent dogs in detection of COVID-19: triple-blinded randomised trial and operational real-life screening in airport setting.BMJ global health · 2022Trial
- Scent dog identification of SARS-CoV-2 infections in different body fluids.BMC infectious diseases · 2021Trial
- Canine "Sniffin' Sticks" enable behavioural olfactometry to complement neurological examination in dogs.Scientific reports · 2026Article
- Untargeted Sweat and Sebum Volatilomics by HS-SPME-GC/ToF-MS for the Identification of SARS-CoV-2-Associated Biomarkers.Metabolites · 2026Article
- Trained Scent Dog Detection and GC-MS Analysis of Volatile Organic Compounds from Murine Coronavirus-Infected Cell Cultures.Animals : an open access journal from MDPI · 2026Article
- Genetic and Anatomical Determinants of Olfaction in Dogs and Wild Canids.Molecular biology and evolution · 2025Article
- Diversity in chemosensory receptor genes in dogs and wolves: degeneration of the olfactory receptor gene repertoire in the brachycephalic Pug.Chemical senses · 2025Article
- Public perception of medical detection dogs and other COVID-19 testing strategies.Frontiers in public health · 2025Article
- Olfactory immunology: the missing piece in airway and CNS defence.Nature reviews. Immunology · 2024Review
- Scent Detection Threshold of Trained Dogs toAnimals : an open access journal from MDPI · 2024Article
- Dogs' ability to detect an inflammatory immune response in cattle via olfaction.Frontiers in veterinary science · 2024Article
- Scent dogs identify SARS-CoV-2-infections in respiratory samples from experimentally infected ferrets and hamsters-a pilot study.Frontiers in medicine · 2024Article
- Article
- Exploration of Potential Breath Biomarkers of Chronic Kidney Disease through Thermal Desorption-Gas Chromatography/Mass Spectrometry.Metabolites · 2023Article
- β-Propiolactone (BPL)-inactivation of SARS-Co-V-2: In vitro validation with focus on saliva from COVID-19 patients for scent dog training.Journal of virological methods · 2023Review
- Sensitivity and specificity ofHeliyon · 2023Article
- Mouse models in COVID-19 research: analyzing the adaptive immune response.Medical microbiology and immunology · 2023Review
- Potential for Early Noninvasive COVID-19 Detection Using Electronic-Nose Technologies and Disease-Specific VOC Metabolic Biomarkers.Sensors (Basel, Switzerland) · 2023Review
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs the COVID-19 pandemic continues to spread, early, ideally real-time, identification of SARS-CoV-2 infected individuals is pivotal in interrupting infection chains. Volatile organic compounds produced during respiratory infections can cause specific scent imprints, which can be detected by trained dogs with a high rate of precision.
methodsEight detection dogs were trained for 1 week to detect saliva or tracheobronchial secretions of SARS-CoV-2 infected patients in a randomised, double-blinded and controlled study.
resultsThe dogs were able to discriminate between samples of infected (positive) and non-infected (negative) individuals with average diagnostic sensitivity of 82.63% (95% confidence interval [CI]: 82.02-83.24%) and specificity of 96.35% (95% CI: 96.31-96.39%). During the presentation of 1012 randomised samples, the dogs achieved an overall average detection rate of 94% (±3.4%) with 157 correct indications of positive, 792 correct rejections of negative, 33 incorrect indications of negative or incorrect rejections of 30 positive sample presentations.
conclusionsThese preliminary findings indicate that trained detection dogs can identify respiratory secretion samples from hospitalised and clinically diseased SARS-CoV-2 infected individuals by discriminating between samples from SARS-CoV-2 infected patients and negative controls. This data may form the basis for the reliable screening method of SARS-CoV-2 infected people.
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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.