CC BY-NC-ND 4.0 · Int Arch Otorhinolaryngol 2021; 25(01): e170-e174
DOI: 10.1055/s-0040-1719120
Systematic Review
Special Article COVID-19

Anosmia/Hyposmia is a Good Predictor of Coronavirus Disease 2019 (COVID-19) Infection: A Meta-Analysis

1   Faculty of Medicine, Pelita Harapan University, Karawaci, Tangerang, Indonesia
,
Niken Ageng Rizki
2   Department of Otorhinolaryngology, Faculty of Medicine, Pelita Harapan University, Karawaci, Tangerang, Indonesia
,
3   Department of Internal Medicine, Faculty of Medicine, Pelita Harapan University, Karawaci, Tangerang, Indonesia
› Author Affiliations

Abstract

Introduction The number of positive cases and deaths from the coronavirus disease 2019 (COVID-19) is still increasing. The early detection of the disease is very important. Olfactory dysfunction has been reported as the main symptom in part of the patients.

Objective To analyze the potential usefulness of anosmia or hyposmia in the detection of the COVID-19 infection.

Data Synthesis We systematically searched the PubMed Central database using specific keywords related to our aims until July 31st, 2020. All articles published on COVID-19 and anosmia or hyposmia were retrieved. A statistical analysis was performed using the Review Manager (RevMan, Cochrane, London, UK) software, version 5.4. A total of 10 studies involving 21,638 patients were included in the present analysis. The meta-analysis showed that anosmia or hyposmia is significantly associated with positive COVID-19 infections (risk ratio [RR]: 4.56; 95% confidence interval [95%CI]: 3.32–6.24; p < 0.00001; I2 = 78%, random-effects modeling).

Conclusion The presence of anosmia or hyposmia is a good predictor of positive COVID-19 infections. Patients with onset of anosmia or hyposmia should take the test or undergo screening for the possibility of COVID-19 infection.



Publication History

Received: 11 September 2020

Accepted: 24 September 2020

Article published online:
26 November 2020

© 2020. Fundação Otorrinolaringologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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