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Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review

BACKGROUND: Remote medical scent detection of cancer and infectious diseases with dogs and rats has been an increasing field of research these last 20 years. If validated, the possibility of implementing such a technique in the clinic raises many hopes. This systematic review was performed to determ...

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Autores principales: Bauër, Pierre, Leemans, Michelle, Audureau, Etienne, Gilbert, Caroline, Armal, Carole, Fromantin, Isabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791295/
https://www.ncbi.nlm.nih.gov/pubmed/36541180
http://dx.doi.org/10.1177/15347354221140516
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author Bauër, Pierre
Leemans, Michelle
Audureau, Etienne
Gilbert, Caroline
Armal, Carole
Fromantin, Isabelle
author_facet Bauër, Pierre
Leemans, Michelle
Audureau, Etienne
Gilbert, Caroline
Armal, Carole
Fromantin, Isabelle
author_sort Bauër, Pierre
collection PubMed
description BACKGROUND: Remote medical scent detection of cancer and infectious diseases with dogs and rats has been an increasing field of research these last 20 years. If validated, the possibility of implementing such a technique in the clinic raises many hopes. This systematic review was performed to determine the evidence and performance of such methods and assess their potential relevance in the clinic. METHODS: Pubmed and Web of Science databases were independently searched based on PRISMA standards between 01/01/2000 and 01/05/2021. We included studies aiming at detecting cancers and infectious diseases affecting humans with dogs or rats. We excluded studies using other animals, studies aiming to detect agricultural diseases, diseases affecting animals, and others such as diabetes and neurodegenerative diseases. Only original articles were included. Data about patients’ selection, samples, animal characteristics, animal training, testing configurations, and performances were recorded. RESULTS: A total of 62 studies were included. Sensitivity and specificity varied a lot among studies: While some publications report low sensitivities of 0.17 and specificities around 0.29, others achieve rates of 1 sensitivity and specificity. Only 6 studies were evaluated in a double-blind screening-like situation. In general, the risk of performance bias was high in most evaluated studies, and the quality of the evidence found was low. CONCLUSIONS: Medical detection using animals’ sense of smell lacks evidence and performances so far to be applied in the clinic. What odors the animals detect is not well understood. Further research should be conducted, focusing on patient selection, samples (choice of materials, standardization), and testing conditions. Interpolations of such results to free running detection (direct contact with humans) should be taken with extreme caution. Considering this synthesis, we discuss the challenges and highlight the excellent odor detection threshold exhibited by animals which represents a potential opportunity to develop an accessible and non-invasive method for disease detection.
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spelling pubmed-97912952022-12-27 Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review Bauër, Pierre Leemans, Michelle Audureau, Etienne Gilbert, Caroline Armal, Carole Fromantin, Isabelle Integr Cancer Ther Review Article BACKGROUND: Remote medical scent detection of cancer and infectious diseases with dogs and rats has been an increasing field of research these last 20 years. If validated, the possibility of implementing such a technique in the clinic raises many hopes. This systematic review was performed to determine the evidence and performance of such methods and assess their potential relevance in the clinic. METHODS: Pubmed and Web of Science databases were independently searched based on PRISMA standards between 01/01/2000 and 01/05/2021. We included studies aiming at detecting cancers and infectious diseases affecting humans with dogs or rats. We excluded studies using other animals, studies aiming to detect agricultural diseases, diseases affecting animals, and others such as diabetes and neurodegenerative diseases. Only original articles were included. Data about patients’ selection, samples, animal characteristics, animal training, testing configurations, and performances were recorded. RESULTS: A total of 62 studies were included. Sensitivity and specificity varied a lot among studies: While some publications report low sensitivities of 0.17 and specificities around 0.29, others achieve rates of 1 sensitivity and specificity. Only 6 studies were evaluated in a double-blind screening-like situation. In general, the risk of performance bias was high in most evaluated studies, and the quality of the evidence found was low. CONCLUSIONS: Medical detection using animals’ sense of smell lacks evidence and performances so far to be applied in the clinic. What odors the animals detect is not well understood. Further research should be conducted, focusing on patient selection, samples (choice of materials, standardization), and testing conditions. Interpolations of such results to free running detection (direct contact with humans) should be taken with extreme caution. Considering this synthesis, we discuss the challenges and highlight the excellent odor detection threshold exhibited by animals which represents a potential opportunity to develop an accessible and non-invasive method for disease detection. SAGE Publications 2022-12-21 /pmc/articles/PMC9791295/ /pubmed/36541180 http://dx.doi.org/10.1177/15347354221140516 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review Article
Bauër, Pierre
Leemans, Michelle
Audureau, Etienne
Gilbert, Caroline
Armal, Carole
Fromantin, Isabelle
Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review
title Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review
title_full Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review
title_fullStr Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review
title_full_unstemmed Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review
title_short Remote Medical Scent Detection of Cancer and Infectious Diseases With Dogs and Rats: A Systematic Review
title_sort remote medical scent detection of cancer and infectious diseases with dogs and rats: a systematic review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791295/
https://www.ncbi.nlm.nih.gov/pubmed/36541180
http://dx.doi.org/10.1177/15347354221140516
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