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10.3390/diagnostics10121023 http://scihub22266oqcxt.onion/10.3390/diagnostics10121023 33260639!7759864!33260639     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Diagnostics+(Basel) 2020 ; 10 (12): ä Nephropedia Template TP {{tp|p=33260639|t=2020. Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis |pdf=|usr=}}{{33260639}} gab.com Text Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis JO: Diagnostics (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33260639 #FOAvip BACKGROUND: The pooled prevalence of chest computed tomography (CT) abnormalities and other detailed analysis related to patients' biodata like gender and different age groups have not been previously described for patients with coronavirus disease 2019 (COVID-19), thus necessitating this study. Objectives: To perform a meta-analysis to evaluate the diagnostic performance of chest CT, common CT morphological abnormalities, disease prevalence, biodata information, and gender prevalence of patients. METHODS: Studies were identified by searching PubMed and Science Direct libraries from 1 January 2020 to 30 April 2020. Pooled CT positive rate of COVID-19 and RT-PCR, CT-imaging features, history of exposure, and biodata information were estimated using the quality effect (QE) model. RESULTS: Out of 36 studies included, the sensitivity was 89% (95% CI: 80-96%) and 98% (95% CI: 90-100%) for chest CT and reverse transcription-polymerase chain reaction (RT-PCR), respectively. The pooled prevalence across lesion distribution were 72% (95% CI: 62-80%), 92% (95% CI: 84-97%) for lung lobe, 88% (95% CI: 81-93%) for patients with history of exposure, and 91% (95% CI: 85-96%) for patients with all categories of symptoms. Seventy-six percent (95% CI: 67-83%) had age distribution across four age groups, while the pooled prevalence was higher in the male with 54% (95% CI: 50-57%) and 46% (95% CI: 43-50%) in the female. CONCLUSIONS: The sensitivity of RT-PCR was higher than chest CT, and disease prevalence appears relatively higher in the elderly and males than children and females, respectively. Twit Text FOAVip Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis ????Diagnostics (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33260639 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33260639 #FOAvip English Wikipedia <ref>{{Cite pmid|33260639}}</ref> Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis #MMPMID33260639 Komolafe TE; Agbo J; Olaniyi EO; Komolafe K; Yang X Diagnostics (Basel) 2020[Nov]; 10 (12): ä PMID33260639show ga BACKGROUND: The pooled prevalence of chest computed tomography (CT) abnormalities and other detailed analysis related to patients' biodata like gender and different age groups have not been previously described for patients with coronavirus disease 2019 (COVID-19), thus necessitating this study. Objectives: To perform a meta-analysis to evaluate the diagnostic performance of chest CT, common CT morphological abnormalities, disease prevalence, biodata information, and gender prevalence of patients. METHODS: Studies were identified by searching PubMed and Science Direct libraries from 1 January 2020 to 30 April 2020. Pooled CT positive rate of COVID-19 and RT-PCR, CT-imaging features, history of exposure, and biodata information were estimated using the quality effect (QE) model. RESULTS: Out of 36 studies included, the sensitivity was 89% (95% CI: 80-96%) and 98% (95% CI: 90-100%) for chest CT and reverse transcription-polymerase chain reaction (RT-PCR), respectively. The pooled prevalence across lesion distribution were 72% (95% CI: 62-80%), 92% (95% CI: 84-97%) for lung lobe, 88% (95% CI: 81-93%) for patients with history of exposure, and 91% (95% CI: 85-96%) for patients with all categories of symptoms. Seventy-six percent (95% CI: 67-83%) had age distribution across four age groups, while the pooled prevalence was higher in the male with 54% (95% CI: 50-57%) and 46% (95% CI: 43-50%) in the female. CONCLUSIONS: The sensitivity of RT-PCR was higher than chest CT, and disease prevalence appears relatively higher in the elderly and males than children and females, respectively. äPrevalence of COVID-19 Diagnostic Output with Chest Computed Tomograph(epmc).pdf DeepDyve Pubget Overpricing