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Meta-Analysis
. 2020 Nov 13;10(1):19765.
doi: 10.1038/s41598-020-74988-9.

Clinical presentations, laboratory and radiological findings, and treatments for 11,028 COVID-19 patients: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Clinical presentations, laboratory and radiological findings, and treatments for 11,028 COVID-19 patients: a systematic review and meta-analysis

Carlos K H Wong et al. Sci Rep. .

Abstract

This systematic review and meta-analysis investigated the comorbidities, symptoms, clinical characteristics and treatment of COVID-19 patients. Epidemiological studies published in 2020 (from January-March) on the clinical presentation, laboratory findings and treatments of COVID-19 patients were identified from PubMed/MEDLINE and Embase databases. Studies published in English by 27th March, 2020 with original data were included. Primary outcomes included comorbidities of COVID-19 patients, their symptoms presented on hospital admission, laboratory results, radiological outcomes, and pharmacological and in-patient treatments. 76 studies were included in this meta-analysis, accounting for a total of 11,028 COVID-19 patients in multiple countries. A random-effects model was used to aggregate estimates across eligible studies and produce meta-analytic estimates. The most common comorbidities were hypertension (18.1%, 95% CI 15.4-20.8%). The most frequently identified symptoms were fever (72.4%, 95% CI 67.2-77.7%) and cough (55.5%, 95% CI 50.7-60.3%). For pharmacological treatment, 63.9% (95% CI 52.5-75.3%), 62.4% (95% CI 47.9-76.8%) and 29.7% (95% CI 21.8-37.6%) of patients were given antibiotics, antiviral, and corticosteroid, respectively. Notably, 62.6% (95% CI 39.9-85.4%) and 20.2% (95% CI 14.6-25.9%) of in-patients received oxygen therapy and non-invasive mechanical ventilation, respectively. This meta-analysis informed healthcare providers about the timely status of characteristics and treatments of COVID-19 patients across different countries.PROSPERO Registration Number: CRD42020176589.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
PRISMA flowchart reporting identification, searching and selection processes.
Figure 2
Figure 2
Random-effects meta-analytic estimates for comorbidities. (A) Diabetes mellitus, (B) Hypertension, (C) Cardiovascular disease, (D) Chronic obstructive pulmonary disease, (E) Chronic kidney disease, (F) Cancer.
Figure 3
Figure 3
Random-effects meta-analytic estimates for presenting symptoms. (A) Fever, (B) Cough, (C) Dyspnoea, (D) Sore throat, (E) Muscle pain, (F) Headache.
Figure 4
Figure 4
Random-effects meta-analytic estimates for laboratory parameters. (A) White blood cell, (B) Lymphocyte, (C) Neutrophil, (D) C-creative protein, (E) D-dimer, (F) Lactate dehydrogenase.
Figure 5
Figure 5
Random-effects meta-analytic estimates for pharmacological treatments and intensive unit care at hospital. (A) Antiviral or interferon drugs, (B) Lopinavir/Ritonavir, (C) Interferon alpha (IFN-α), (D) Antibiotic drugs, (E) Corticosteroid, (F) Admission to Intensive care unit.
Figure 6
Figure 6
Random-effects meta-analytic estimates for radiological findings and non-pharmacological treatments at hospital. (A) Bilateral involvement, (B) Pneumonia, (C) Oxygen therapy, (D) Non-invasive ventilation, (E) Extracorporeal membrane oxygenation (ECMO), (F) Dialysis.

References

    1. Oliveira N. Shrimp vendor identified as possible coronavirus ‘patient zero,’ leaked document says. 27 March 2020. New York Daily News. 2020.
    1. World Health Organization. Basic protective measures against the new coronavirus (2020). https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-f.... Accessed 7 Oct 2020.
    1. Google Trend. When will coronavirus end (2020). https://trends.google.com/trends/explore?date=today%203-m&q=when%20will%.... Accessed 10 Oct 2020.
    1. Worldometer. COVID-19 Coronavirus Pandemic (2020). https://www.worldometers.info/coronavirus/. Accessed 13 Oct 2020.
    1. Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020;395(10224):565–574. doi: 10.1016/S0140-6736(20)30251-8. - DOI - PMC - PubMed

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