We reviewed the diagnostic accuracy of SARS-CoV-2 serological tests. Random-effects models yielded a summary sensitivity of 82% for IgM, and 85% for IgG and total antibodies. For specificity, the pooled estimate were 98% for IgM and 99% for IgG and total antibodies. In populations with <= 5% of seroconverted individuals, unless the assays have perfect (i.e. log%) specificity, the positive predictive value would be <= 88%. Serological tests should be used for prevalence surveys only in hard-hit areas.
Meta-analysis of diagnostic performance of serological tests for SARS-CoV-2 antibodies up to 25 April 2020 and public health implications / S. Caini, F. Bellerba, F. Corso, A. Díaz-Basabe, G. Natoli, J. Paget, F. Facciotti, S.P. De Angelis, S. Raimondi, D. Palli, L. Mazzarella, P.G. Pelicci, P. Vineis, S. Gandini. - In: EUROSURVEILLANCE. - ISSN 1025-496X. - 25:23(2020 Jun), pp. 2000980.1-2000980.5. [10.2807/1560-7917.ES.2020.25.23.2000980]
Meta-analysis of diagnostic performance of serological tests for SARS-CoV-2 antibodies up to 25 April 2020 and public health implications
F. BellerbaSecondo
;P.G. Pelicci;
2020
Abstract
We reviewed the diagnostic accuracy of SARS-CoV-2 serological tests. Random-effects models yielded a summary sensitivity of 82% for IgM, and 85% for IgG and total antibodies. For specificity, the pooled estimate were 98% for IgM and 99% for IgG and total antibodies. In populations with <= 5% of seroconverted individuals, unless the assays have perfect (i.e. log%) specificity, the positive predictive value would be <= 88%. Serological tests should be used for prevalence surveys only in hard-hit areas.
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