AI Article Synopsis

  • This study systematically reviews COVID-19 symptoms, lab findings, treatments, and patient outcomes, based on 46 relevant articles identified from major databases.
  • Approximately 31.7% of COVID-19 patients had no underlying health conditions, with common symptoms including fever (70.6%) and lymphopenia (55.2%); imaging showed ground-glass opacity in 51% of cases.
  • The findings highlight challenges in diagnosing COVID-19 due to nonspecific symptoms, emphasizing the need for effective healthcare strategies and access to CT scans and testing.

Article Abstract

Background: Since December 2019, coronavirus (COVID-19) spread throughout the world. The high rate of infection and its unknown nature led specialists to report the condition of patients. The aim of this study is to systematically review of symptoms, laboratory and radiologic findings, treatment, and outcomes of patients with COVID-19.

Materials And Methods: Databases such as PubMed, Embase, Scopus, Web of Science, Google Scholar, and Cochrane were searched. Finally, 46 articles were appropriate for the aim of the study. After quality evaluation, the necessary data were extracted and meta-analysis was performed.

Results: 4858 articles were retrieved until March 30, 2020. After screening, the full-text of 46 articles was assessed. Of the reported cases, 31.7% had no comorbidities, 21.4% had high blood pressure, 70.6% had fever, and lymphopenia was reported in 55.2% of patients. For 16% bilateral patchy shadowing in radiography and for 51% ground-glass opacity was reported. Outcomes were remarkable for recover to death.

Conclusion: COVID-19 leads to healthcare problems for countries. Nonspecific symptoms have made it difficult for differential diagnoses without computed tomography-scan or corona Test, but they are not available in many countries. Therefore, this systematic review can help health care staff to make decisions based on symptoms, treatments, and outcomes..

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383992PMC
http://dx.doi.org/10.4103/jrms.JRMS_900_20DOI Listing

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