
Evaluation of the diagnostic accuracy of COVID-19 antigen tests: A systematic review and meta-analysis
Author(s) -
Yuan–Hung Wang,
ChiaChang Wu,
ChyiHuey Bai,
Shou-Cheng Lu,
YiPing Yang,
YiYing Lin,
Lai Wei,
Tzu-Wei Lin,
Ying Chun Jheng,
MingCheng Lee,
ChengChieh Chen
Publication year - 2021
Publication title -
journal of the chinese medical association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.535
H-Index - 42
eISSN - 1728-7731
pISSN - 1726-4901
DOI - 10.1097/jcma.0000000000000626
Subject(s) - medicine , meta analysis , cochrane library , contact tracing , covid-19 , publication bias , medline , systematic review , subgroup analysis , confidence interval , random effects model , psychological intervention , disease , infectious disease (medical specialty) , psychiatry , political science , law
The coronavirus disease 2019 (COVID-19) pandemic continues to affect countries worldwide. To inhibit the transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), testing of patients, contact tracing, and quarantine of their close contacts have been used as major nonpharmaceutical interventions. The advantages of antigen tests, such as low cost and rapid turnaround, may allow for the rapid identification of larger numbers of infectious persons. This meta-analysis aimed to evaluate the diagnostic accuracy of antigen tests for SARS-CoV-2.