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Dataset Information

Auxiliary Screening COVID-19 by Serology.


ABSTRACT:

Background

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.

Methods

Web of Science, Cochrane Library, Embase, PubMed, CNKI, and Wangfang databases were searched for relevant articles published prior to May 1st, 2022. Data on specificity, sensitivity, positive/negative likelihood ratio, area under curve (AUC), and diagnostic odds ratio (dOR) were calculated purposefully.

Results

Sixty-two studies were included with 35,775 partici

SUBMITTER: Pan X 

PROVIDER: S-EPMC9380738 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature