113 Diagnostic utility of molecular and imaging biomarkers 2 Table 6. Estimated pooled test performance of BRAF mutation analysis in Bethesda III thyroid nodules ni Bethesda III test + test - test ? nH (%) TP FP FN TN malignant (TP+FN/ni) sensitivity (95% CI), % specificity (95% CI), % LR+ (95% CI) LR- (95% CI) Adeniran 2011 (1) 84 19 65 48 (57%) 16 0 11 21 32% 59 (39-78) 100 (84-100) 25.93 (1.65-408.65) 0.42 (0.27-0.66) Adeniran 2011 (2) 89 12 77 25 (28%) 8 0 5 12 15% 62 (32-86) 100 (74-100) 15.79 (1.01-247.04) 0.41 (0.21-0.79) Kim 2011 151 46 105 50 (33%) 30 1 6 13 24% 83 (67-94) 93 (66-100) 11.67 (1.75-77.56) 0.18 (0.09-0.38) Nikiforov 2011 247 5 242 247 (100%) 5 0 30 212 14% 14 (5-30) 100 (98-100) 65.08 (3.68-1,151.82) 0.85 (0.74-0.98) Yeo 2011 12 2 10 12 (100%) 2 0 3 7 42% 40 (5-85) 100 (59-100) 6.67 (0.39-114.78) 0.62 (0.31-1.25) Kang 2012 3 0 3 3 (100%) 0 0 2 1 67% 0 (0-84) 100 (3-100) 0.67 (0.02-21.81) 1.11 (0.43-2.86) Carr 2013 42 13 29 42 (100%) 13 0 10 19 55% 57 (34-77) 100 (82-100) 22.50 (1.42-355.35) 0.45 (0.28-0.71) Jeong 2013 103 40 63 103 (100%) 39 1 25 38 62% 61 (48-73) 97 (87-100) 23.77 (3.40-166.14) 0.40 (0.29-0.55) Kloos 2013 95 2 93 95 (100%) 2 0 23 70 26% 8 (1-26) 100 (95-100) 13.65 (0.68-275.05) 0.91 (0.80-1.03) Koh 2013 22 6 16 22 (100%) 5 1 11 5 73% 31 (11-59) 83 (36-100) 1.88 (0.27-12.93) 0.83 (0.51-1.34) Agretti 2014 54 1 53 54 (100%) 1 0 13 40 26% 7 (0-34) 100 (91-100) 8.20 (0.35-190.49) 0.91 (0.77-1.08) BeaudenonHuibregtse 2014 42 0 42 22 (52%) 0 0 11 11 26% 0 (0-28) 100 (72-100) 1.00 (0.02-46.40) 1.00 (0.85-1.18) Danilovic 2014 116 15 101 116 (100%) 15 0 8 93 20% 65 (43-84) 100 (96-100) 121.42 (7.53-1,957.62) 0.36 (0.21-0.61) Hyeon 2014 551 100 451 147 (27%) 87 1 37 22 23% 70 (61-78) 96 (78-100) 16.14 (2.37-110.11) 0.31 (0.23-0.41) Johnson 2014 45 1 41 3 25 (60%) 1 0 8 16 20% 11 (0-48) 100 (79-100) 5.10 (0.23-113.64) 0.88 (0.67-1.15) Park 2014 183 54 129 73 (40%) 30 2 28 13 32% 52 (38-65) 87 (60-98) 3.88 (1.04-14.43) 0.56 (0.40-0.78) Seo 2014 54 0 54 12 (22%) 0 0 8 4 15% 0 (0-37) 100 (40-100) 0.56 (0.01-23.97) 1.05 (0.75-1.46) Hwang 2015 564 57 500 7 86 (15%) 43 1 40 2 15% 52 (41-63) 67 (9-99) 1.55 (0.31-7.80) 0.72 (0.32-1.66) Nikiforov 2015 462 2 460 95 (21%) 2 0 20 73 5% 9 (1-29) 100 (95-100) 16.09 (0.80-323.15) 0.90 (0.78-1.04) Park 2015 17 4 13 10 (59%) 4 0 4 2 47% 50 (16-84) 100 (16-100) 3.00 (0.22-40.93) 0.60 (0.26-1.37) Rossi 2015 81 9 72 23 (28%) 9 0 1 13 12% 90 (55-100) 100 (75-100) 24.18 (1.57-371.51) 0.14 (0.03-0.63) Beisa 2016 16 1 15 16 (100%) 1 0 3 12 25% 25 (1-81) 100 (74-100) 7.80 (0.38-161.42) 0.73 (0.41-1.31) Kowalska 2016 106 3 103 65 (61%) 3 0 3 59 6% 50 (12-88) 100 (94-100) 60.00 (3.44-1,045.51) 0.50 (0.24-1.06) Valderrabano 2016 47 0 47 19 (40%) 0 0 3 16 6% 0 (0-71) 100 (79-100) 4.25 (0.10-183.55) 0.90 (0.62-1.32) POOLED RESULTS 3,186 392 2,784 10 1,410 (44.4%) 316 7 313 774 19.7% 34.2 (21.6-49.5) 99.6 (97.2-99.9) 89.04 (13.31-595.79) 0.66 (0.53-0.82)
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