id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-329351-g9qlo3xh	Toraih, Eman A.	Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID‐19 patients: A meta‐regression and Decision tree analysis	2020-06-12		.txt	text/plain	1905	109	48	Decision tree analysis by combining cardiac markers with demographic and clinical features was applied to predict mortality and severity in COVID‐19 patients. Pairwise comparison meta-analysis was conducted; 29 articles to compare between the severe and non-severe presentation of COVID-19 disease, 7 records to compare between cohorts who developed cardiac injury and those who are not, 6 records to compare between patients who were admitted to the ICU and those admitted to the general hospital ward and 16 studies to compare between survivors and expired patients ( Figure 1A) . Combining cardiac markers with demographic and clinical features, decision tree analysis was used to predict mortality and severity in COVID-19 patients. After conversion of SMD to OR, meta-analysis showed that patients with high cTnI (OR = 5.22, 95%CI = 3.73 to 7.31, p <0.001) and AST levels (OR = 3.64, 95%CI = 2.84-4.66, p <0.001) were more likely to develop adverse outcomes for COVID-19 disease.	./cache/cord-329351-g9qlo3xh.txt	./txt/cord-329351-g9qlo3xh.txt