The aim of current study was to evaluate the outcome of some laboratory tests and accuracy of diagnostic tests for patients with COVID-19. The QUADAS-2 tool was utilized to quality assessment of diagnostic accuracy studies. For data extraction, two reviewers blind and independently extracted data from abstract and full text of studies that included. 95% confidence interval for effect size with fixed effect model and Inver-variance method were calculated. Meta-analysis was performed using Stata/MP v.16 software. 469 studies were reviewed, of which the full text of 52 studies was reviewed and finally twenty-two studies were selected for meta-analysis. Mean differences of Alanine transaminase was 3.40 U/L (MD, 95% CI -2.45, 9.25), correlation between Alanine transaminase and severe COVID-19 was not significantly. Stool, feces, rectal swabs 25% (ES, 95% CI 0.32, 0.82), Urine 1% (ES, 95% CI 0.05, 0.58), overall sensitivity of PCR for detection of COVID-19 was 44% (ES, 95% CI 0.19, 0.68), less sensitive observerd when PCR detection of COVID-19. Evidence revealed that at the time of admission of patients with COVID-19, a specific laboratory model can be used to perform relevant tests and make decisions about patients. PCR using sputum samples was highly sensitive for detecting COVID-19 and after that computed tomography of the chest was identified with high sensitivity.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.