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Open AccessJournal ArticleDOI

Is loss of smell an early predictor of COVID-19 severity: a systematic review and meta-analysis.

TLDR
In this article, the authors conducted a meta-analysis of 45 articles that include a total of 42,120 COVID-19 patients from 17 different countries to demonstrate that severely ill or hospitalized COVID19 patients have a lesser chance of experiencing LOS than non-severely ill or non-hospitalized patients (odds ratio = 0.527 [95% CI 0.373-0.744; p < 0.001], respectively).
Abstract
Anecdotal evidence suggests that the severity of coronavirus disease of 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is likely to be distinguished by variations in loss of smell (LOS). Thus, we conducted a meta-analysis of 45 articles that include a total of 42,120 COVID-19 patients from 17 different countries to demonstrate that severely ill or hospitalized COVID-19 patients have a lesser chance of experiencing LOS than non-severely ill or non-hospitalized COVID-19 patients (odds ratio = 0.527 [95% CI 0.373-0.744; p < 0.001] and 0.283 [95% CI 0.173-0.462; p < 0.001], respectively). We also proposed a possible mechanism underlying the association of COVID-19 severity with anosmia, which may explain why patients without sense of smell develop severe COVID-19. Variations in LOS according to the severity of COVID-19 is a global phenomenon, with few exceptions. Since severely ill patients have a lower rate of anosmia, patients without anosmia should be monitored more closely in the early stages of COVID-19, for early diagnosis of severity of illness. An understanding of how the severity of COVID-19 infection and LOS are associated has profound implications for the clinical management and mitigation strategies for the disease.

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The D614G Virus Mutation Enhances Anosmia in COVID-19 Patients: Evidence from a Systematic Review and Meta-analysis of Studies from South Asia.

TL;DR: In this article, the authors conducted a systematic review and meta-analysis of studies in South Asian populations when either the D614 or the G614 virus was dominant, and found that populations infected predominantly with the G-614 virus had a much higher prevalence of anosmia (pooled prevalence of 31.8%) compared with the same ethnic populations infected mostly with the D-6G mutation.
Posted ContentDOI

The D614G virus mutation enhances anosmia in COVID-19 patients: Evidence from a systematic review and meta-analysis of studies from South Asia

TL;DR: In this article, the authors conducted a systematic review and meta-analysis of studies in South Asian populations when either the D614 or the G614 virus was dominant and found that populations infected predominantly with the G6G mutation had a much higher prevalence of chemosensory dysfunction (pooled prevalence of 31.8%) compared with the same ethnic populations infected mostly with the D6g mutation.
Journal ArticleDOI

Neurological consequences of COVID-19 and brain related pathogenic mechanisms: A new challenge for neuroscience

TL;DR: In this article , the authors provide summarized information about the neurological symptomatology and the brain pathogenic mechanisms involved and reported in COVID-19, which is a major novel challenge for neuroscience.
Journal ArticleDOI

Olfactory dysfunction in COVID‐19, new insights from a cohort of 353 patients: The ANOSVID study

TL;DR: Olfactory disorders (OD) pathogenesis, underlying conditions, and prognostic in coronavirus disease 2019 (COVID‐19) remain partially described, and OD patients seem to have less comorbidity, especially better cardiovascular and renal function.
Journal ArticleDOI

Efficacy, Immunogenicity, and Safety of COVID-19 Vaccines in Randomized Control Trials in the Pre-Delta Era: A Systematic Review and Network Meta-Analysis

TL;DR: A systematic review and network meta-analysis found that the mRNA platform vaccines showed higher efficacy and more adverse reactions than the other vaccines, and the CoronaVac vaccine ranked the lowest.
References
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Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
Journal ArticleDOI

Neurologic Manifestations of Hospitalized Patients With Coronavirus Disease 2019 in Wuhan, China.

TL;DR: During the epidemic period of COVID-19, clinicians should suspect severe acute respiratory syndrome coronavirus 2 infection as a differential diagnosis to avoid delayed diagnosis or misdiagnosis and lose the chance to treat and prevent further transmission.
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