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COVID 19 Scoping: A Systemic Review and Meta-Analysis.

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This study reviewed COVID-19 meta-analyses published between January 2020 and February 2021. The findings reveal a predominance of low-quality research, with less than 10% demonstrating high confidence, highlighting a need for improved scientific rigor.

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COVID-19scopesystemic review and meta-analysis

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Area of Science:

  • * Epidemiology and Public Health
  • * Infectious Diseases Research
  • * Scientific Literature Analysis

Background:

  • * The COVID-19 pandemic, caused by SARS-CoV-2, emerged in late 2019, leading to a global health crisis.
  • * A surge in research, particularly meta-analyses, occurred rapidly to understand and combat the virus.
  • * Evaluating the quality of this rapid scientific output is crucial for guiding future research efforts.

Purpose of the Study:

  • * To conduct a scoping review of meta-analyses related to COVID-19.
  • * To identify research gaps and provide recommendations for enhancing future COVID-19 studies.
  • * To assess the overall quality and characteristics of published COVID-19 meta-analyses.

Main Methods:

  • * A comprehensive literature search was performed using databases: EBSCO, PubMed, Google Scholar, and Scopus.
  • * Keywords included COVID-19, CORONA, SARS-CoV-2, clinical features, and Wuhan.
  • * Articles published from January 2020 to February 2021 were included, with meta-analyses assessed following PRISMA guidelines.

Main Results:

  • * A total of 316 meta-analyses were finalized, with the first publication in February 2020.
  • * A significant increase in meta-analysis publications was observed, primarily in virology and infectious disease journals.
  • * Most studies originated from Wuhan, with contributions from the USA, UK, and Italy; however, the majority of meta-analyses were of poor quality, with less than 10% showing high confidence.

Conclusions:

  • * The quality of COVID-19 meta-analyses is predominantly low, with few studies meeting high standards.
  • * Journal editors and review teams must implement stricter protocols to ensure the quality of published meta-analyses.
  • * Recommendations are provided to improve the rigor and reliability of future COVID-19 research.