Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: an updated systematic review and meta-analysis with meta regression analyzing influencing factors [Research Data]

DOI

Background Comprehensive information about the accuracy of antigen rapid diagnostic tests (Ag-RDTs) for SARS-CoV-2 is essential to guide public health decision makers in choosing the best tests and testing policies. In August 2021, we published a systematic review and meta-analysis about the accuracy of Ag-RDTs. We now update this work and analyze the factors influencing test sensitivity in further detail. Methods and findings We registered the review on PROSPERO (registration number: CRD42020225140). We systematically searched multiple databases (PubMed, Web of Science Core Collection, medRvix, bioRvix, and FIND) for publications evaluating the accuracy of Ag-RDTs for SARS-CoV-2 until August 31, 2021. Descriptive analyses of all studies were performed, and when more than 4 studies were available, a random-effects meta-analysis was used to estimate pooled sensitivity and specificity with reverse transcription polymerase chain reaction (RT-PCR) testing as a reference. To evaluate factors influencing test sensitivity, we performed 3 different analyses using multivariate mixed-effects meta-regression models. We included 194 studies with 221,878 Ag-RDTs performed. Over-all, the pooled estimates of Ag-RDT sensitivity and specificity were 72.0% (95% confidence interval [CI] 69.8 to 74.2) and 98.9% (95% CI 98.6 to 99.1), respectively. When manufacturer instructions were followed, sensitivity increased to 76.4% (95%CI 73.8 to 78.8). Sensitivity was markedly better on samples with lower RT-PCR cycle threshold (Ct) values (sensitivity of 97.9% [95% CI 96.9 to 98.9] and 90.6% [95% CI 88.3 to 93.0] for Ct-values <20 and 90%). With viral load, as estimated by Ct-value, being the most influential factor on their sensitivity, they are especially useful to detect persons with high viral load who are most likely to transmit the virus. To further quantify the effects of other factors influencing test sensitivity, standardization of clinical accuracy studies and access to patient level Ct-values and duration of symptoms are needed.

Identifier
DOI https://doi.org/10.11588/data/T3MIB0
Related Identifier https://doi.org/10.1101/2022.02.11.22270831
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/T3MIB0
Provenance
Creator Brümmer, Lukas E. ORCID logo; Katzenschlager, Stephan ORCID logo; McGrath, Sean ORCID logo; Schmitz, Stephani ORCID logo; Gaeddert, Mary ORCID logo; Erdmann, Christian (ORCID: 0000-0003-0159-128X); Bota, Marc ORCID logo; Grilli, Maurizio ORCID logo; Larmann, Jan ORCID logo; Weigand, Markus A. ORCID logo; Pollock, Nira R. ORCID logo; Macé, Aurélien ORCID logo; Erkosar, Berra ORCID logo; Carmona, Sergio ORCID logo; Sacks, Jilian A. ORCID logo; Ongarello, Stefano ORCID logo; Denkinger, Claudia M. ORCID logo
Publisher heiDATA
Contributor Denkinger, Claudia M.
Publication Year 2022
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Denkinger, Claudia M. (Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany)
Representation
Resource Type Dataset
Format application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 674749
Version 1.1
Discipline Life Sciences; Medicine