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. 2017 Apr 4;12(4):e0174451. doi: 10.1371/journal.pone.0174451

Table 7. DOC-Mood results.

Diagnostic Characteristics Single cut-point (raw scores) Single cut-point (regression) Two cut-points (raw scores) Two cut-points (regression)
AUC 0.898 0.902 0.898 0.902
High-risk Raw score 2–6 POI e > .201 Raw score 4–6 POI e > .62
% of population 106 (25%) 130 (31%) 42 (10%) 48 (11%)
Impaired 66 (62%) 71 (55%) 38 (90%) 44 (92%)
Not Impaired 40 (38%) 59 (45%) 4 (10%) 4 (8%)
Specificity 88% 82% 99% 99%
+LR a 6.4 4.7 37 42.9
PPV b 62% 55% 90% 92%
Intermediate-risk N/A f N/A f Raw score 1–3 POI e > .16-.62
% of population N/A f N/A f 131 (31%) 117 (28%)
Impaired N/A f N/A f 41 (31%) 34 (29%)
Not Impaired N/A f N/A f 90 (69%) 83 (71%)
Specificity/Sensitivity N/A f N/A f N/A g N/A g
+/-LR ac N/A f N/A f N/A g N/A g
PPV/NPV bd N/A f N/A f N/A g N/A g
Low-risk Raw score 0–1 POI e < .201 Raw score 0 POI e < .16
% of population 315 (75%) 291 (69%) 248 (59%) 256 (61%)
Impaired 20 (6%) 15 (5%) 7 (3%) 8 (3%)
Not Impaired 295 (93%) 276 (95%) 241 (97%) 248 (97%)
Sensitivity 77% 83% 92% 92%
-LR c 0.3 0.2 3.3 3.5
NPV d 94% 95% 97% 97%

a +LR = positive likelihood ratio,

b PPV = positive predictive value,

c -LR = negative likelihood ratio,

d NPV = negative predictive value,

e POI = probability of impairment,

f N/A, no intermediate group using single cut-point method,

g cannot calculate statistics for intermediate group