Objectives/Hypothesis: The objective of this meta-analysis was to look at the pooled prevalence of symptoms, laboratory tests, and imaging of all COVID-19 infected patients. This will allow better identification of potential COVID-19 patients and take appropriate precautions.Study design: Meta analysis. Methods: We searched three databases, PubMed, EMBASE, and Ovid to identify studies published between Dec-2019 and May-2020. All studies reporting upper-aerodigestive symptoms of COVID-19 infection were included. The meta-analysis was conducted following meta-analyses of observational studies in epidemiology (MOOSE) guidelines, which have evaluated the pooled prevalence of 14 symptoms and nine laboratory investigations.Results: Based on inclusion criteria, 67 publications consisting of 8302 patients were included. Among adults, the pooled proportion of hypertensive and diabetic patients was 18% and 7%. Cough (53% [0.46-0.61]), anosmia (38% [0.19-0.58]), loss/distortion of taste (31% [0.17-0.45]), and nasal obstruction (26% [0.12-0.39]) were the most common ear, nose & throat (ENT) symptoms. Fever (69% [0.62-0.76]) and fatigue (31% [0.26-0.37]) were the commonest generalized symptoms. C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) were raised in 56% (0.41-0.71) and 49% (0.21-0.77), respectively. Interestingly, lymphopenia (41% [0.30-0.53]) and leucopenia (22% [0.16-0.29]) were more common than lymphocytosis (33% [0.02-0.64]) and leucocytosis (12% [0.09-0.16]). Fever (69% vs. 44%), cough (53% vs. 33%), and dyspnea (20% vs. 4%) were more common in adults as compared to the pediatric population. Diarrhea was more common among the pediatric cases (12%) versus (9%). The pooled estimate of fatality was 4%.Conclusions: The most commonly experienced ENT symptom was cough followed by anosmia and dysguesia. Raised ESR and CRP with leukopenia and lymphopenia are common laboratory findings. Majority of the infected patients had abnormal computed tomography findings. COVID infection is less severe in pediatric patients.
Aim:This study was conducted to assess the disease status of head-and-neck cancer patients visiting the emergency department (ED) and their reason for presentation. We wanted to analyze if these visits could be avoided by incorporating any changes in our clinical practice.Methods:This was a retrospective analysis of head-and-neck cancer patients attending the ED at a tertiary care cancer center in 2017. Clinical details were noted from the electronic medical records, and descriptive statistics was calculated. The analysis was performed using SPSS version 21 software.Results:Three hundred and thirty-nine head-and-neck cancer patients attended the ED. Of these, 80.2% were males and 48.1% of patients had oral cavity cancers. About 37.2% required palliative care treatment. Nearly, 47.2% of patients presented during their initial evaluation period. About 22.7% required hospital admission and only 14.7% required any sort of emergency intervention.Conclusion:Majority of visits to ED could have been avoided with better counseling of the patients and their attendants.
The aim of our study was to evaluate the predictive ability of the American Joint Committee Cancer (AJCC) eighth edition (AJCC8) staging system for oral cavity cancers and validate these changes rendering the hypothesis of improving prognostication. We conducted a retrospective study including all oral cavity squamous cell carcinoma patients visiting our tertiary center from 2012 to 2015, staged as per the AJCC seventh edition (AJCC7) and AJCC8 systems. Stage-specific diseasefree survival (DFS) and overall survival (OS) were calculated using the Kaplan-Meier method. Concordance index (CI) and Akaike information criterion (AIC) were used to calculate the predictive accuracy of the both systems. The study sample consisted of 863 subjects followed up for a median of 24 months. Buccal mucosa complex (BMC) was the most common site (n = 496). We observed a 25.8% (n = 222) overall upstaging in the eighth edition, significantly seen in early tongue cancers (TCs) (Stage I) and advanced BMC cancers (Stage III). An increase in CI and reduction in AIC scores were indicative of a superior predictive accuracy for the eighth edition in assessing DFS (confidence interval [CI*] = 0.650-0.654; AIC = 3,022-3,014) and OS (CI* = 0.643-0.648; AIC = 2089-2086) across all stages. The accuracy was higher for TCs as compared to BMC. Although not statistically significant, we observed an increase in soft risk factors at higher stages in the eighth edition as compared to its predecessor. We concluded that the AJCC8 has a higher predictive accuracy than the AJCC7 edition, making it a reliable prognosticative tool.
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