Author: Rocke, John; Hopkins, Claire; Philpott, Carl; Kumar, Nirmal
Title: Is loss of sense of smell a diagnostic marker in COVIDâ€19: A Systematic Review and Metaâ€analysis Cord-id: sc4w6627 Document date: 2020_8_1
ID: sc4w6627
Snippet: AIMS: 1. To systematically review the currently available evidence investigating the association between olfactory dysfunction (OD) and the novel coronavirus (COVIDâ€19). 2. To analyse the prevalence of OD in patients who have tested positive on Polymerase Chain Reaction (PCR) for COVIDâ€19. 2. To perform a metaâ€analysis of patients presenting with olfactory dysfunction, during the pandemic, and to investigate the Positive Predictive Value for a COOVIDâ€19 positive result in this population
Document: AIMS: 1. To systematically review the currently available evidence investigating the association between olfactory dysfunction (OD) and the novel coronavirus (COVIDâ€19). 2. To analyse the prevalence of OD in patients who have tested positive on Polymerase Chain Reaction (PCR) for COVIDâ€19. 2. To perform a metaâ€analysis of patients presenting with olfactory dysfunction, during the pandemic, and to investigate the Positive Predictive Value for a COOVIDâ€19 positive result in this population. 3. To assess if olfactory dysfunction could be used as a diagnostic marker for COVIDâ€19 positivity and aid public health approaches in tackling the current outbreak. METHODS: We systematically searched MedLine (PubMed), Embase, Health Management Information Consortium (HMIC), Medrxiv, the Cochrane Library, the Cochrane COVIDâ€19 Study Register, NIHR Dissemination centre, Clinical Evidence, National Health Service Evidence and the National Institute of Clinical Excellence to identify the current published evidence which associates coronaviridae or similar RNA viruses with anosmia. The initial search identified 157 articles. 145 papers were excluded following application of our exclusion criteria. The 12 remaining articles, that presented evidence on the association between COVIDâ€19 and olfactory dysfunction, were critically analysed. RESULTS: OD has been shown to be the strongest predictor of COVIDâ€19 positivity when compared to other symptoms in logistic regression analysis. In patients who had tested positive for COVIDâ€19 there was a prevalence of 62% of OD. In populations of patients who are currently reporting OD there is a positive predictive value of 61% for a positive COVIDâ€19 result. CONCLUSION: Our review has shown that there is already significant evidence which demonstrates an association between OD and the novel coronavirus – COVIDâ€19. It is unclear if this finding is unique to this coronavirus as individual viral phenotypes rarely present in such concentrated large numbers. We have demonstrated that OD is comparatively more predictive for COVIDâ€19 positivity compared to other associated symptoms. We recommend that people who develop OD during the pandemic should be selfâ€isolate and this guidance should be adopted internationally to prevent transmission.
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