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. Author manuscript; available in PMC: 2011 Sep 1.
Published in final edited form as: Cancer Prev Res (Phila). 2010 Aug 26;3(9):1093–1103. doi: 10.1158/1940-6207.CAPR-10-0115

Table 5.

Predictive accuracy of risk classification and EDNRB and combination after adjusting for other predictors1 associated with head and neck cancer (n=161)

Predictor Cutoff2 Sensitivity (%, 95% CI) Specificity (%, 95% CI) PPV3 (%, 95% CI) NPV4 (%, 95% CI) AUC (95% CI)
Risk classification 0.267590 71(56 – 83) 58(48 – 67) 41 (31 – 53) 77 (66 – 86) 0.65(0.56 – 0.75)
EDNRB 0.274459 65(49 – 78) 51(42 – 61) 36 (26 – 47) 82 (72 – 90) 0.61 (0.51 – 0.71)
Risk and EDNRB 0.2467921 75(60 – 86) 50(41 – 60) 39 (29 – 50) 83 (72 – 91) 0.68(0.58 – 0.77)
combined 0.4501881 21 (10 – 35) 92(85 – 96) 53 (29 – 76) 73 (65 – 80)
1

Other predictors include age, sex, race, tobacco, and ethanol use;

2

Based on predicted probability of high grade dysplasia/cancerusing multivariable logistic regression model;

3

Positive predictive value, depending on the prevalence of the disease (high grade dysplasia/cancer) which was 13% for this study population.

4

Negative predictive value, depending on the prevalence of the disease (high grade dysplasia/cancer) which was 13% for this study population.

Note: The cutoffs are not EDNRB methylation values but a predicted probability from the logistic regression model that simultaneously includes risk classification and EDNRB.