Chest Computed Tomography for the Diagnosis of Patients with Coronavirus Disease 2019 (COVID-19): A Rapid Review and Meta-Analysis

Meng Lv; Mengshu Wang; Nan Yang; Xufei Luo; Wei Li; Xin Chen; Yunlan Liu; Mengjuan Ren; Xianzhuo Zhang; Ling Wang; Yanfang Ma; Junqiang Lei; Toshio Fukuoka; Hyeong Sik Ahn; Myeong Soo Lee; Zhengxiu Luo; Yaolong Chen; Enmei Liu; Jinhui Tian; Xiaohui Wang

The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.14.20064733 doi: medRxiv preprint Eight researchers (N Yang, X Luo, W Li, X Chen, Y Liu, M Ren, X Zhang and L Wang) were divided into four groups to extract the data and collect the following information for each study: basic information (title, first author, country or region of participants, date of publication/posting, journal, and study type), patient information (sample size, female/male ratio, adult/children ratio, age range, mean age), outcome information (primary outcome: sensitivity of chest CT imaging using reverse transcription polymerase chain reaction (RT-PCR) results as reference; other outcomes, including probability of bilateral or unilateral pneumonia, ground-glass opacities (GGO) and consolidation, number of lobes affected, location of lobe involvement, rounded morphology, linear opacities, crazy-paving pattern, air bronchogram, interlobular septum thickening, pleural thickening, halo sign, reverse halo sign, pleural effusion and lymphadenopathy).