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. 2010 Mar 30;102(8):1201–1206. doi: 10.1038/sj.bjc.6605620

Table 3. Overall sensitivity, specificity, and correct classification for each DEFAB cut-off point.

Cut-point Sensitivity Specificity Correctly classified LR (+) LR (−) d-OR
(>=0) 100.00% 0.00% 4.88% 1.000  
(>=1) 95.95% 25.57% 29.00% 1.289 0.159 8.11
(>=2) 88.51% 44.70% 46.84% 1.601 0.257 6.23
(>=3) 81.76% 50.28% 51.81% 1.644 0.363 4.53
(>=4) 79.05% 52.56% 53.86% 1.667 0.399 4.18
(>=5) 67.57% 74.43% 74.09% 2.642 0.436 6.06
(>=6) 43.24% 92.38% 89.98% 5.673 0.614 9.24
(>=7) 16.22% 96.92% 92.98% 5.258 0.865 6.08
(>=8) 8.78% 99.27% 94.86% 12.071 0.919 13.13
(>=9) 3.38% 99.90% 95.19% 32.510 0.967 33.62
(>9) 0% 100.0% 95.12%   1.000

ROC Area=0.769, 95% CI (0.730–809).

LR (+)=Likelihood ratio (+ve)=Pr (+ve∣+ve)/Pr (+ve∣−ve).

LR (−)=Likelihood ratio (−ve)=Pr (−ve∣+ve)/Pr (−ve∣−ve).

d-OR=diagnostic odds ratio=LR (+)/LR (−).