NPV = (number of true-negatives/[number of true-negatives + number of false-negatives]). Accuracy score: (Sensitivity + specificity + PPV + NPV) × 100. Comprehensive score: Number of monograph ...

With this classification, the sensitivity of repeated MMSE for detecting dementia was 68%, and the specificity was 70% (PPV, 42%; NPV, 88%). With a score of ≤24 on the MMSE as the absolute ...

The primary objective of this study was to evaluate the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ROPScore and WINROP for predicting the risk of ...

Diabetes definition for adults varied by data source, including physician claims (sensitivity ranged from 26.9% to 97%, specificity ranged from 94.3% to 99.4%, positive predictive value (PPV) ranged ...

Lung ultrasound (LUS) may be an effective screening tool for interstitial lung disease in patients with asymptomatic rheumatoid arthritis.

The value of blood count in detecting relapse was assessed using sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV). Number needed to screen (NNS) is ...

We calculated the positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity for the overall algorithm and each component (primary diagnosis code (ICD-9), DRG code ...

The outcomes considered were validation of AF detection by examining (1) sensitivity; (2) specificity; (3) positive predictive value (PPV); (4) negative predictive value (NPV); and (5) overall ...

Diagnostic accuracy of each decision aid and hs-cTnI alone (using the limit of quantification cut-off, 3 ng/L) was evaluated by calculating sensitivity, specificity, positive predictive value (PPV) ...