Decrease of cancer diagnosis during COVID-19 pandemic: a systematic review and meta-analysis

Eur J Epidemiol. 2023 Jan;38(1):31-38. doi: 10.1007/s10654-022-00946-6. Epub 2023 Jan 3.

Abstract

Many health services, including cancer care, have been affected by the COVID-19 epidemic. This study aimed at providing a systematic review of the impact of the epidemic on cancer diagnostic tests and diagnosis worldwide. In our systematic review and meta-analysis, databases such as Pubmed, Proquest and Scopus were searched comprehensively for articles published between January 1st, 2020 and December 12th, 2021. Observational studies and articles that reported data from single clinics and population registries comparing the number of cancer diagnostic tests and/or diagnosis performed before and during the pandemic, were included. Two pairs of independent reviewers extracted data from the selected studies. The weighted average of the percentage variation was calculated and compared between pandemic and pre-pandemic periods. Stratified analysis was performed by geographic area, time interval and study setting. The review was registered on PROSPERO (ID: CRD42022314314). The review comprised 61 articles, whose results referred to the period January-October 2020. We found an overall decrease of - 37.3% for diagnostic tests and - 27.0% for cancer diagnosis during the pandemic. For both outcomes we identified a U-shaped temporal trend, with an almost complete recovery for the number of cancer diagnosis after May 2020. We also analyzed differences by geographic area and screening setting. We provided a summary estimate of the decrease in cancer diagnosis and diagnostic tests, during the first phase of the COVID-19 pandemic. The delay in cancer diagnosis could lead to an increase in the number of avoidable cancer deaths. Further research is needed to assess the impact of the pandemic measures on cancer treatment and mortality.

Keywords: COVID-19; Cancer; Cancer diagnosis; Diagnostic test; Meta-analysis; Pandemic; Review.

Publication types

  • Meta-Analysis
  • Systematic Review
  • Review

MeSH terms

  • COVID-19 Testing
  • COVID-19* / diagnosis
  • COVID-19* / epidemiology
  • Databases, Factual
  • Humans
  • Neoplasms* / diagnosis
  • Neoplasms* / epidemiology
  • Pandemics
  • PubMed