Diagnostic efficacy of anti‐SARS‐CoV‐2 IgG/IgM test for COVID‐19: A meta‐analysis

The serological testing of anti‐SARS‐CoV‐2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID‐19. However, its diagnostic efficacy remains unclear. In this study, we searched for diagnostic studies from the Web of Science, PubMed, Embase, CNKI, and Wanfang databases to calcul...

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Published inJournal of medical virology Vol. 93; no. 1; pp. 366 - 374
Main Authors Zhang, Zu‐Li, Hou, Yu‐Lei, Li, De‐Tao, Li, Feng‐Zeng
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.01.2021
John Wiley and Sons Inc
Subjects
Antibodies, Viral - blood
antibody
Bivariate analysis
Chemiluminescence
Chromatography, Affinity
Confidence intervals
COVID-19
COVID-19 - diagnosis
COVID-19 - immunology
COVID-19 Serological Testing - methods
COVID‐2019
Diagnosis
diagnostic efficacy
Diagnostic systems
Enzyme-Linked Immunosorbent Assay
Humans
IgG antibody
Immunoassay
Immunoglobulin G
Immunoglobulin G - blood
Immunoglobulin M
Immunoglobulin M - blood
Luminescent Measurements
Meta-analysis
Model accuracy
Reproducibility of Results
SARS‐CoV‐2
Sensitivity analysis
Sensitivity and Specificity
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
Subgroups
Virology
SARS-CoV-2
COVID-2019
antibody
diagnostic efficacy
Online AccessGet full text
ISSN0146-6615
1096-9071
1096-9071
DOI10.1002/jmv.26211

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Abstract The serological testing of anti‐SARS‐CoV‐2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID‐19. However, its diagnostic efficacy remains unclear. In this study, we searched for diagnostic studies from the Web of Science, PubMed, Embase, CNKI, and Wanfang databases to calculate the pooled diagnostic accuracy measures using bivariate random‐effects model meta‐analysis. As a result, 22 from a total of 1613 articles, including 2282 patients with SARS‐CoV‐2 and 1485 healthy persons or patients without SARS‐CoV‐2, were selected for a meta‐analysis. Pooled sensitivity, specificity, and area under curve of the summary receiver operator curve (SROC) were: (a) 0.85 (95% confidence interval [CI]: 0.79‐0.90), 0.99 (95% CI: 0.98‐1.00), and 0.99 (95% CI: 0.97‐0.99) for anti‐SARS‐CoV‐2 IgG and (b) 0.74 (95% CI: 0.65‐0.81), 0.99 (95% CI: 0.97‐1.00), and 0.95 (95% CI: 0.93‐0.97) for IgM. A subgroup analysis among detection methods indicated the sensitivity of IgG and IgM using enzyme‐linked immunosorbent assay were slightly lower than those using gold immunochromatography assay (GICA) and chemiluminescence immunoassay (P > .05). These results showed that the detection of anti‐SARS‐CoV‐2 IgG and IgM had high diagnostic efficiency to assist the diagnosis of SARS‐CoV‐2 infection. And, GICA might be used as the preferred method for its accuracy and simplicity. Highlights Detection of anti‐SARS‐CoV‐2 IgG and IgM has high diagnostic efficiency to assist the diagnosis of SARS‐CoV‐2.
AbstractList The serological testing of anti‐SARS‐CoV‐2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID‐19. However, its diagnostic efficacy remains unclear. In this study, we searched for diagnostic studies from the Web of Science, PubMed, Embase, CNKI, and Wanfang databases to calculate the pooled diagnostic accuracy measures using bivariate random‐effects model meta‐analysis. As a result, 22 from a total of 1613 articles, including 2282 patients with SARS‐CoV‐2 and 1485 healthy persons or patients without SARS‐CoV‐2, were selected for a meta‐analysis. Pooled sensitivity, specificity, and area under curve of the summary receiver operator curve (SROC) were: (a) 0.85 (95% confidence interval [CI]: 0.79‐0.90), 0.99 (95% CI: 0.98‐1.00), and 0.99 (95% CI: 0.97‐0.99) for anti‐SARS‐CoV‐2 IgG and (b) 0.74 (95% CI: 0.65‐0.81), 0.99 (95% CI: 0.97‐1.00), and 0.95 (95% CI: 0.93‐0.97) for IgM. A subgroup analysis among detection methods indicated the sensitivity of IgG and IgM using enzyme‐linked immunosorbent assay were slightly lower than those using gold immunochromatography assay (GICA) and chemiluminescence immunoassay ( P  > .05). These results showed that the detection of anti‐SARS‐CoV‐2 IgG and IgM had high diagnostic efficiency to assist the diagnosis of SARS‐CoV‐2 infection. And, GICA might be used as the preferred method for its accuracy and simplicity. Detection of anti‐SARS‐CoV‐2 IgG and IgM has high diagnostic efficiency to assist the diagnosis of SARS‐CoV‐2.
The serological testing of anti-SARS-CoV-2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID-19. However, its diagnostic efficacy remains unclear. In this study, we searched for diagnostic studies from the Web of Science, PubMed, Embase, CNKI, and Wanfang databases to calculate the pooled diagnostic accuracy measures using bivariate random-effects model meta-analysis. As a result, 22 from a total of 1613 articles, including 2282 patients with SARS-CoV-2 and 1485 healthy persons or patients without SARS-CoV-2, were selected for a meta-analysis. Pooled sensitivity, specificity, and area under curve of the summary receiver operator curve (SROC) were: (a) 0.85 (95% confidence interval [CI]: 0.79-0.90), 0.99 (95% CI: 0.98-1.00), and 0.99 (95% CI: 0.97-0.99) for anti-SARS-CoV-2 IgG and (b) 0.74 (95% CI: 0.65-0.81), 0.99 (95% CI: 0.97-1.00), and 0.95 (95% CI: 0.93-0.97) for IgM. A subgroup analysis among detection methods indicated the sensitivity of IgG and IgM using enzyme-linked immunosorbent assay were slightly lower than those using gold immunochromatography assay (GICA) and chemiluminescence immunoassay (P > .05). These results showed that the detection of anti-SARS-CoV-2 IgG and IgM had high diagnostic efficiency to assist the diagnosis of SARS-CoV-2 infection. And, GICA might be used as the preferred method for its accuracy and simplicity.
The serological testing of anti-SARS-CoV-2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID-19. However, its diagnostic efficacy remains unclear. In this study, we searched for diagnostic studies from the Web of Science, PubMed, Embase, CNKI, and Wanfang databases to calculate the pooled diagnostic accuracy measures using bivariate random-effects model meta-analysis. As a result, 22 from a total of 1613 articles, including 2282 patients with SARS-CoV-2 and 1485 healthy persons or patients without SARS-CoV-2, were selected for a meta-analysis. Pooled sensitivity, specificity, and area under curve of the summary receiver operator curve (SROC) were: (a) 0.85 (95% confidence interval [CI]: 0.79-0.90), 0.99 (95% CI: 0.98-1.00), and 0.99 (95% CI: 0.97-0.99) for anti-SARS-CoV-2 IgG and (b) 0.74 (95% CI: 0.65-0.81), 0.99 (95% CI: 0.97-1.00), and 0.95 (95% CI: 0.93-0.97) for IgM. A subgroup analysis among detection methods indicated the sensitivity of IgG and IgM using enzyme-linked immunosorbent assay were slightly lower than those using gold immunochromatography assay (GICA) and chemiluminescence immunoassay (P > .05). These results showed that the detection of anti-SARS-CoV-2 IgG and IgM had high diagnostic efficiency to assist the diagnosis of SARS-CoV-2 infection. And, GICA might be used as the preferred method for its accuracy and simplicity.The serological testing of anti-SARS-CoV-2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID-19. However, its diagnostic efficacy remains unclear. In this study, we searched for diagnostic studies from the Web of Science, PubMed, Embase, CNKI, and Wanfang databases to calculate the pooled diagnostic accuracy measures using bivariate random-effects model meta-analysis. As a result, 22 from a total of 1613 articles, including 2282 patients with SARS-CoV-2 and 1485 healthy persons or patients without SARS-CoV-2, were selected for a meta-analysis. Pooled sensitivity, specificity, and area under curve of the summary receiver operator curve (SROC) were: (a) 0.85 (95% confidence interval [CI]: 0.79-0.90), 0.99 (95% CI: 0.98-1.00), and 0.99 (95% CI: 0.97-0.99) for anti-SARS-CoV-2 IgG and (b) 0.74 (95% CI: 0.65-0.81), 0.99 (95% CI: 0.97-1.00), and 0.95 (95% CI: 0.93-0.97) for IgM. A subgroup analysis among detection methods indicated the sensitivity of IgG and IgM using enzyme-linked immunosorbent assay were slightly lower than those using gold immunochromatography assay (GICA) and chemiluminescence immunoassay (P > .05). These results showed that the detection of anti-SARS-CoV-2 IgG and IgM had high diagnostic efficiency to assist the diagnosis of SARS-CoV-2 infection. And, GICA might be used as the preferred method for its accuracy and simplicity.
The serological testing of anti‐SARS‐CoV‐2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID‐19. However, its diagnostic efficacy remains unclear. In this study, we searched for diagnostic studies from the Web of Science, PubMed, Embase, CNKI, and Wanfang databases to calculate the pooled diagnostic accuracy measures using bivariate random‐effects model meta‐analysis. As a result, 22 from a total of 1613 articles, including 2282 patients with SARS‐CoV‐2 and 1485 healthy persons or patients without SARS‐CoV‐2, were selected for a meta‐analysis. Pooled sensitivity, specificity, and area under curve of the summary receiver operator curve (SROC) were: (a) 0.85 (95% confidence interval [CI]: 0.79‐0.90), 0.99 (95% CI: 0.98‐1.00), and 0.99 (95% CI: 0.97‐0.99) for anti‐SARS‐CoV‐2 IgG and (b) 0.74 (95% CI: 0.65‐0.81), 0.99 (95% CI: 0.97‐1.00), and 0.95 (95% CI: 0.93‐0.97) for IgM. A subgroup analysis among detection methods indicated the sensitivity of IgG and IgM using enzyme‐linked immunosorbent assay were slightly lower than those using gold immunochromatography assay (GICA) and chemiluminescence immunoassay (P > .05). These results showed that the detection of anti‐SARS‐CoV‐2 IgG and IgM had high diagnostic efficiency to assist the diagnosis of SARS‐CoV‐2 infection. And, GICA might be used as the preferred method for its accuracy and simplicity. Highlights Detection of anti‐SARS‐CoV‐2 IgG and IgM has high diagnostic efficiency to assist the diagnosis of SARS‐CoV‐2.
Author Zhang, Zu‐Li
Li, Feng‐Zeng
Li, De‐Tao
Hou, Yu‐Lei
AuthorAffiliation 2 Clinical Laboratories The First Affiliated Hospital of Chongqing Medical University Chongqing China
3 Department of Dermatology The First Affiliated Hospital of Chongqing Medical University Chongqing China
1 Department of Respiratory and Critical Medicine The First Affiliated Hospital of Chongqing Medical University Chongqing China
AuthorAffiliation_xml – name: 2 Clinical Laboratories The First Affiliated Hospital of Chongqing Medical University Chongqing China
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  fullname: Zhang, Zu‐Li
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  surname: Hou
  fullname: Hou, Yu‐Lei
  organization: The First Affiliated Hospital of Chongqing Medical University
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  fullname: Li, Feng‐Zeng
  email: lifengzeng@hospital.cqmu.edu.cn
  organization: The First Affiliated Hospital of Chongqing Medical University
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Issue 1
Keywords SARS-CoV-2
COVID-2019
antibody
diagnostic efficacy
Language English
License 2020 Wiley Periodicals LLC.
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Zhang W (e_1_2_9_27_1) 2020
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Snippet The serological testing of anti‐SARS‐CoV‐2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID‐19. However, its diagnostic efficacy...
The serological testing of anti-SARS-CoV-2 immunoglobulin G (IgG) and/or IgM is widely used in the diagnosis of COVID-19. However, its diagnostic efficacy...
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StartPage 366
SubjectTerms Antibodies, Viral - blood
antibody
Bivariate analysis
Chemiluminescence
Chromatography, Affinity
Confidence intervals
COVID-19
COVID-19 - diagnosis
COVID-19 - immunology
COVID-19 Serological Testing - methods
COVID‐2019
Diagnosis
diagnostic efficacy
Diagnostic systems
Enzyme-Linked Immunosorbent Assay
Humans
IgG antibody
Immunoassay
Immunoglobulin G
Immunoglobulin G - blood
Immunoglobulin M
Immunoglobulin M - blood
Luminescent Measurements
Meta-analysis
Model accuracy
Reproducibility of Results
SARS‐CoV‐2
Sensitivity analysis
Sensitivity and Specificity
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
Subgroups
Virology
Title Diagnostic efficacy of anti‐SARS‐CoV‐2 IgG/IgM test for COVID‐19: A meta‐analysis
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjmv.26211
https://www.ncbi.nlm.nih.gov/pubmed/32568413
https://www.proquest.com/docview/2473436420
https://www.proquest.com/docview/2415832140
https://pubmed.ncbi.nlm.nih.gov/PMC7361902
Volume 93
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