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https://www.selleckchem.com/pr....oducts/pim447-lgh447
30, 95% CI 3.72-18.49, P.001]. Addition of EFV to CACS and traditional risk factors could predict myocardial ischemia more effectively, with larger AUC .82 (P.001), positive net reclassification index .14 (P=.04) and integrated discrimination improvement .14 (P.001). The bootstrap resampling method (times = 50 was used to internally validation and calculate the 95% confidence interval (CI) of the AUC (95% CI .75-.87). The calibration curve for the probability of myocardial ischemia demonstrated good agreement between

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