AUTHOR=Pan Xiongfeng , Kaminga Atipatsa C. , Chen Yuyao , Liu Hongying , Wen Shi Wu , Fang Yingjing , Jia Peng , Liu Aizhong 

TITLE=Auxiliary Screening COVID-19 by Serology

JOURNAL=Frontiers in Public Health

VOLUME=10

YEAR=2022

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.819841

DOI=10.3389/fpubh.2022.819841

ISSN=2296-2565

ABSTRACT=<sec><title>Background</title><p>The 2019 novel coronavirus (COVID-19) pandemic remains rampant in many countries/regions. Improving the positive detection rate of COVID-19 infection is an important measure for control and prevention of this pandemic. This meta-analysis aims to systematically summarize the current characteristics of the auxiliary screening methods by serology for COVID-19 infection in real world.</p></sec><sec><title>Methods</title><p>Web of Science, Cochrane Library, Embase, PubMed, CNKI, and Wangfang databases were searched for relevant articles published prior to May 1<sup>st</sup>, 2022. Data on specificity, sensitivity, positive/negative likelihood ratio, area under curve (AUC), and diagnostic odds ratio (dOR) were calculated purposefully.</p></sec><sec><title>Results</title><p>Sixty-two studies were included with 35,775 participants in the meta-analysis. Among these studies, the pooled estimates for area under the summary receiver operator characteristic of IgG and IgM to predicting COVID-19 diagnosis were 0.974 and 0.928, respectively. The IgG dOR was 209.78 (95% CI: 106.12 to 414.67). The IgM dOR was 78.17 (95% CI: 36.76 to 166.25).</p></sec><sec><title>Conclusion</title><p>Our findings support serum-specific antibody detection may be the main auxiliary screening methods for COVID-19 infection in real world.</p></sec>