NDLI: Diagnostic value of chest computed tomography imaging for COVID-19 based on reverse transcription-polymerase chain reaction: a meta-analysis

Content Provider	Springer Nature : BioMed Central
Author	Liu, Jing Yang, Xue Zhu, Yunxian Zhu, Yi Liu, Jingzhe Zeng, Xiantao Li, Hongjun
Abstract	Background The computed tomography (CT) diagnostic value of COVID-19 is controversial. We summarized the value of chest CT in the diagnosis of COVID-19 through a meta-analysis based on the reference standard. Methods All Chinese and English studies related to the diagnostic value of CT for COVID-19 across multiple publication platforms, was searched for and collected. Studies quality evaluation and plotting the risk of bias were estimated. A heterogeneity test and meta-analysis, including plotting sensitivity (Sen), specificity (Spe) forest plots, pooled positive likelihood ratio (+LR), negative likelihood ratio (-LR), dignostic odds ratio (DOR) values and 95% confidence interval (CI), were estimated. If there was a threshold effect, summary receiver operating characteristic curves (SROC) was further plotted. Pooled area under the receiver operating characteristic curve (AUROC) and 95% CI were also calculated. Results Twenty diagnostic studies that represented a total of 9004 patients were included from 20 pieces of literatures after assessing all the aggregated studies. The reason for heterogeneity was caused by the threshold effect, so the AUROC = 0.91 (95% CI: 0.89–0.94) for chest CT of COVID-19. Pooled sensitivity, specificity, +LR, -LR from 20 studies were 0.91 (95% CI: 0.88–0.94), 0.71 (95% CI: 0.59–0.80), 3.1(95% CI: 2.2–4.4), 0.12 (95% CI: 0.09–0.17), separately. The I2 was 85.6% (P = 0.001) by Q-test. Conclusions The results of this study showed that CT diagnosis of COVID-19 was close to the reference standard. The diagnostic value of chest CT may be further enhanced if there is a unified COVID-19 diagnostic standard. However, please pay attention to rational use of CT. Graphic Abstract
Related Links	https://idpjournal.biomedcentral.com/counter/pdf/10.1186/s40249-021-00910-8.pdf
Ending Page	10
Page Count	10
Starting Page	1
File Format	HTM / HTML
ISSN	20499957
DOI	10.1186/s40249-021-00910-8
Journal	Infectious Diseases of Poverty
Issue Number	1
Volume Number	10
Language	English
Publisher	BioMed Central
Publisher Date	2021-10-21
Access Restriction	Open
Subject Keyword	Infectious Diseases Tropical Medicine Public Health COVID-19 Tomography X-ray computed Reference standard
Content Type	Text
Resource Type	Article
Subject	Infectious Diseases Public Health, Environmental and Occupational Health
Journal Impact Factor	4.8/2023
5-Year Journal Impact Factor	5/2023

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