DOI of the published article https://doi.org/10.15446/revfacmed.v69n1.90222
Clinical, radiological and laboratory characteristics in children diagnosed with COVID-19: Meta-analysis of a single proportion
Keywords:children, COVID-19, meta-analysis, diagnosis
Objective: To summarize the best available evidence about the frequency of presentation of: signs, symptoms, main laboratory tests and, radiological alterations in patients younger than 19 years with a diagnosis of COVID-19.
Method: By searching PubMed, Scopus and academic Google, data from studies where present clinical, laboratory and radiological characteristics were collected to perform single-proportion meta-analyzes.
Results: 11 studies were found, including a total of 1180 patients. The meta-analysis showed a greater incidence of the male sex 0.56 (95% CI; 0.51: 0.61), asymptomatic patients 0.15 (95% CI; 0.09: 0.22), mild and very mild infections 0.44 (95% CI; 0.25: 0.63) , moderate infections 0.44 (95% CI; 0.38: 0.45), incidence of fever 0.56 (95% CI; 0.48: 0.65), cough 0.46 (95% CI; 0.39: 0.53), pharyngitis 0.18 (95% CI; 0.03: 0.39 ), laboratory tests showed a higher incidence of leukopenia 0.33 (95% CI; 0.25: 0.42), C-reactive Protein 0.19 (95% CI; 0.15: 0.24), patients with radiological alteration 0.68 (95% CI; 0.56: 0.79), severe patients n = 5 and deceased n = 1.
Conclusions: The presence of radiological abnormalities is more frequent than the clinical signs of cough and fever, which are the most common symptoms. On the blood count: leukopenia is more frequent. There is a trend of greater incidence in the male sex. This meta-analysis will serve as a basis for future comparisons of the similarities or differences that may occur now that the pandemic is in America. It also has limitations so the results must be contrasted, with controlled prospective studies, with a greater number of patients and a stricter design.
- 07/22/2020 (2)
- 05/01/2020 (1)
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Copyright (c) 2020 Santiago Vasco-Morales, Cristhian Santiago Vasco-Toapanta, Paola Toapanta-Pinta
This work is licensed under a Creative Commons Attribution 4.0 International License.