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10.1007/s40336-021-00434-z

http://scihub22266oqcxt.onion/10.1007/s40336-021-00434-z
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34055674!8149579!34055674
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suck abstract from ncbi


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pmid34055674      Clin+Transl+Imaging 2021 ; 9 (4): 341-351
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  • Chest computed tomography as a primary tool in COVID-19 detection: an update meta-analysis #MMPMID34055674
  • Pang C; Hou Q; Yang Z; Ren L
  • Clin Transl Imaging 2021[]; 9 (4): 341-351 PMID34055674show ga
  • PURPOSE: A growing number of publications have paid close attention to the chest computed tomography (CT) detection of COVID-19 with inconsistent diagnostic accuracy, the present meta-analysis assessed the available evidence regarding the overall performance of chest CT for COVID-19. METHODS: 2 x 2 diagnostic table was extracted from each of the included studies. Data on specificity (SPE), sensitivity (SEN), negative likelihood ratio (LR-), positive likelihood ratio (LR+), and diagnostic odds ratio (DOR) were calculated purposefully. RESULTS: Fifteen COVID-19 related publications met our inclusion criteria and were judged qualified for the meta-analysis. The following were summary estimates for diagnostic parameters of chest CT for COVID-19: SPE, 0.49 (95% CI 46-52%); SEN, 0.94 (95% CI 93-95%); LR-, 0.15 (95% CI 11-20%); LR+, 1.93 (95% CI 145-256%); DOR, 17.14 (95% CI 918-3199%); and the area under the receiver operating characteristic curve (AUC), 0.93. CONCLUSION: Chest CT has high SEN, but the SPE is not ideal. It is highly recommended to use a combination of different diagnostic tools to achieve sufficient SEN and SPE. It should be taken into account as a diagnostic tool for current COVID-19 detection, especially for patients with symptoms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40336-021-00434-z.
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