id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-297396-r1p7xn3a	Ng, Ming-Yen	Development and Validation of Risk Prediction Models for COVID-19 Positivity in a Hospital Setting	2020-09-15		.txt	text/plain	3251	182	53	OBJECTIVES: To develop:(1) two validated risk prediction models for COVID-19 positivity using readily available parameters in a general hospital setting; (2) nomograms and probabilities to allow clinical utilisation.  Developed two simple-to use nomograms for identifying COVID-19 positive patients  Probabilities are provided to allow healthcare leaders to decide suitable cut-offs  Variables are age, white cell count, chest x-ray appearances and contact history  Model variables are easily available in the general hospital setting. To develop: (1) two validated risk prediction models for COVID-19 positivity using readily available parameters in a general hospital setting; (2) nomograms and probabilities to allow clinical utilisation. Thus, a COVID-19 prediction model based on clinical, laboratory and radiological findings which presents the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) would allow public healthcare systems to decide a suitable strategy on prioritizing tests when such RT-PCR availability is constrained.	./cache/cord-297396-r1p7xn3a.txt	./txt/cord-297396-r1p7xn3a.txt