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Meta-Analysis
. 2022 Mar:148:105121.
doi: 10.1016/j.jcv.2022.105121. Epub 2022 Feb 23.

A systematic review and meta-analysis of the accuracy of SARS-COV-2 IGM and IGG tests in individuals with COVID-19

Affiliations
Meta-Analysis

A systematic review and meta-analysis of the accuracy of SARS-COV-2 IGM and IGG tests in individuals with COVID-19

Ana Cristina Lacerda Macedo et al. J Clin Virol. 2022 Mar.

Abstract

Introduction: Active SARS-CoV-2 infection is confirmed mainly through the detection of viral nucleic acid via the reverse transcriptase polymerase chain reaction (RT-PCR) technique. Methods to assess humoral responses contribute to the monitoring of the disease and confirmation of exposure to the virus.

Objective: To evaluate the accuracy of tests for IgM and IgG antibodies for SARS-CoV-2 infection confirmed by RT-PCR and utility as complementary data for immunosurveillance.

Methods: Literature research was performed by searching the terms "COVID-19", "COVID-19 diagnostic testing" and "test" in the databases MEDLINE, EMBASE, Cochrane Library, Web of Science and Cumulative Index to Nursing and Allied Health Literature to search for potentially eligible observational studies without language restrictions published up to September 2020.

Results: The pooled sensitivity and specificity, regardless of collection moment, was 80.0% (CI 95% 72.0-86.0) and 97.0% (CI 95% 94.0-98.0) for "IgM and/or IgG", respectively. Serology considering immunoglobulins M and G together had a high accuracy performance on "fifteenth day and after": sensitivity and specificity was 91.0% (CI 95% 85.0-94.0) and 98.0% (CI 95% 95.0-99.0) respectively, DOR 461 and AUC 0.98.

Conclusion: This study shows that serology is a group of tests with high accuracy, mainly following the second week after infection.

Keywords: Diagnostic meta-analysis; SARS-CoV-2; Sensitivity; Specificity; Systematic review.

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Conflict of interest statement

The present study has no conflicts of interest.

Figures

Fig 1
Fig. 1
PRISMA flow diagram of studies selections.
Fig 2
Fig. 2
Assessment of risk of bias.
Fig 3
Fig. 3
Forest plot.
Fig 4
Fig. 4
SROC curve: summary receiver operating characteristics curve.
Fig 5
Fig. 5
Funnel plot.

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