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Comparing SARS-CoV-2 antigen-detection rapid diagnostic tests for COVID-19 self-testing/self-sampling with molecular and professional-use tests: a systematic review and meta-analysis

  • Stephan Katzenschlager
  • , Lukas E. Brümmer
  • , Stephani Schmitz
  • , Hannah Tolle
  • , Katharina Manten
  • , Mary Gaeddert
  • , Christian Erdmann
  • , Andreas Lindner
  • , Frank Tobian
  • , Maurizio Grilli
  • , Nira R. Pollock
  • , Aurélien Macé
  • , Berra Erkosar
  • , Sergio Carmona
  • , Stefano Ongarello
  • , Cheryl C. Johnson
  • , Jilian A. Sacks
  • , Claudia M. Denkinger
  • , Seda Yerlikaya*
  • *Corresponding author for this work
  • Heidelberg University 
  • University Hospital Heidelberg
  • Münster University of Applied Sciences
  • Charité – Universitätsmedizin Berlin
  • Boston Children's Hospital and Harvard Medical School
  • FIND
  • World Health Organization

Research output: Contribution to journal › Article › Academic › peer-review

28 Citations (Scopus)
62 Downloads (Pure)

Abstract

Self-testing is an effective tool to bridge the testing gap for several infectious diseases; however, its performance in detecting SARS-CoV-2 using antigen-detection rapid diagnostic tests (Ag-RDTs) has not been systematically reviewed. This study aimed to inform WHO guidelines by evaluating the accuracy of COVID-19 self-testing and self-sampling coupled with professional Ag-RDT conduct and interpretation. Articles on this topic were searched until November 7th, 2022. Concordance between self-testing/self-sampling and fully professional-use Ag-RDTs was assessed using Cohen’s kappa. Bivariate meta-analysis yielded pooled performance estimates. Quality and certainty of evidence were evaluated using QUADAS-2 and GRADE tools. Among 43 studies included, twelve reported on self-testing, and 31 assessed self-sampling only. Around 49.6% showed low risk of bias. Overall concordance with professional-use Ag-RDTs was high (kappa 0.91 [95% confidence interval (CI) 0.88–0.94]). Comparing self-testing/self-sampling to molecular testing, the pooled sensitivity and specificity were 70.5% (95% CI 64.3–76.0) and 99.4% (95% CI 99.1–99.6), respectively. Higher sensitivity (i.e., 93.6% [95% CI 90.4–96.8] for Ct < 25) was estimated in subgroups with higher viral loads using Ct values as a proxy. Despite high heterogeneity among studies, COVID-19 self-testing/self-sampling exhibits high concordance with professional-use Ag-RDTs. This suggests that self-testing/self-sampling can be offered as part of COVID-19 testing strategies. Trial registration: PROSPERO: CRD42021250706.

Original languageEnglish
Article number21913
JournalScientific Reports
Volume13
Issue number1
DOIs
Publication statusPublished - Dec 2023

Bibliographical note

Publisher Copyright: © 2023, The Author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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