Clinical characterization and chest CT findings in laboratory-confirmed COVID-19: a systematic review and meta-analysis
Golnaz Vaseghi, Marjan Mansourian, Raheleh Karimi, Kiyan Heshmat-Ghahdarijani, Sadegh Baradaran Mahdavi, Amirhossein Pezeshki, Behrooz Ataei, Alireza Zandifar, Omid Shafaat, Shaghayegh Haghjoo Javanmard
doi: https://doi.org/10.1101/2020.03.05.20031518
Abstract
Background: Imagery techniques have been used as essential parts of diagnostic workup for patients suspected for 2019-nCoV infection, Multiple studies have reported the features of chest computed tomography (CT) scans among a number of 2019-nCoV patients. Method: Study Identification was carried out in databases (PubMed, Embase and Cochrane Library) to identify published studies examining the diagnosis, the 2019 novel coronavirus (2019-nCoV). Heterogeneity among reported prevalence was assessed by computing p-values of Cochrane Q-test and I2-statics. The pooled prevalence of treatment failure was carried out with a fixed effects meta-analysis model, generating the pooled 95% confidence interval. A random-effect model was used to pool the results since this model could incorporate the heterogeneity of the studies and therefore proved a more generalized result.
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