Canine olfactory detection of SARS-CoV-2-infected humans-a systematic review
Abstract
Purpose: To complement conventional testing methods for severe acute respiratory syndrome coronavirus type 2 infections, dogs olfactory capability for true real-time detection has been investigated worldwide. Diseases produce specific scents in affected individuals via volatile organic compounds. This systematic review evaluates the current evidence for canine olfaction as a reliable coronavirus disease 2019 screening tool. Methods: Two independent study quality assessment tools were used: the QUADAS-2 tool for the evaluation of laboratory tests diagnostic accuracy, designed for systematic reviews, and a general evaluation tool for canine detection studies, adapted to medical detection. Various study design, sample, dog, and olfactory training features were considered as potential confounding factors. Results: Twenty-seven studies from 15 countries were evaluated. Respectively, four and six studies had a low risk of bias and high quality: the four QUADAS-2 nonbiased studies resulted in ranges of 81%97% sensitivity and 91%100% specificity. The six high-quality studies, according to the general evaluation system, revealed ranges of 82%97% sensitivity and 83%100% specificity. The other studies contained high bias risks and applicability and/or quality concerns. Conclusions: Standardization and certification procedures as used for canine explosives detection are needed for medical detection dogs for the optimal and structured usage of their undoubtful potential. © 2023
Más información
| Título según WOS: | Canine olfactory detection of SARS-CoV-2-infected humans-a systematic review |
| Título según SCOPUS: | Canine olfactory detection of SARS-CoV-2-infected humansa systematic review |
| Título de la Revista: | Annals of Epidemiology |
| Volumen: | 85 |
| Editorial: | ELSEVIER INC |
| Fecha de publicación: | 2023 |
| Página de inicio: | 68 |
| Página final: | 85 |
| Idioma: | English |
| DOI: |
10.1016/j.annepidem.2023.05.002 |
| Notas: | ISI, SCOPUS |