Descriptive analysis

Ultrasound

Table 1. Summary of primary studies for ultrasound (after continuity correction).
Sensitivity (95% CI) Specificity (95% CI) DOR (95% CI)
Ahn 0.975 (0.8, 0.997)
Bock 0.5 (0.246, 0.754) 0.875 (0.669, 0.96) 7 (1.2, 41.3)
Chung 0.917 (0.517, 0.991) 0.702 (0.628, 0.767) 26 (1.4, 478.8)
Cordoba 0.935 (0.76, 0.985)
Espinosa 0.917 (0.517, 0.991)
Haliloglu 0.875 (0.396, 0.987) 0.98 (0.918, 0.995) 343 (11.7, 10028.5)
Jafari 0.984 (0.867, 0.998)
Langer 0.767 (0.659, 0.848)
Liberman 0.929 (0.561, 0.992)
Myers 0.985 (0.874, 0.998)
Nishanova 0.855 (0.692, 0.939)
Obenauer 0.5 (0.17, 0.83) 0.979 (0.828, 0.998) 47 (1.7, 1280)
Oh 0.95 (0.655, 0.995)
Qian 0.971 (0.884, 0.993) 0.593 (0.515, 0.667) 49 (9.4, 256.6)
Reyes 0.956 (0.829, 0.99)
Robbins 0.9 (0.463, 0.989) 0.853 (0.778, 0.905) 52.2 (2.7, 1012.9)
Son 0.929 (0.561, 0.992) 0.783 (0.609, 0.894) 47 (2.3, 948.5)
Taron 0.975 (0.8, 0.997)
Taskin 0.99 (0.908, 0.999)
Taylor 0.977 (0.815, 0.998)
Wang 0.857 (0.786, 0.907)
Yang 0.977 (0.815, 0.998)
Figure 1.Forest plots of study-specific sensitivities and specificities for ultrasound

Figure 1.Forest plots of study-specific sensitivities and specificities for ultrasound

Figure 2. Confidence regions (left) and crosshair plot (right; weighted by sample size) for the 7 studies with complete data.

Figure 2. Confidence regions (left) and crosshair plot (right; weighted by sample size) for the 7 studies with complete data.

Meta analysis using bivariate random effects model