Table 4. The main analysis results of SROC.
Sample | Sensitivity (95% CI) | Specificity (95% CI) | a (95% CI) | b (95% CI) | AUC | Q* (95% CI) |
---|---|---|---|---|---|---|
Saliva | 0.47 (0.39 - 0.55) | 0.89 (0.85 - 0.91) | 2.14 (1.71-2.56) | −0.02 (-0.14-0.09) | 0.80 | 0.74 (0.70-0.78) |
Tissue | 0.57(0.5 - 0.63) | 0.88(0.84 - 0.90) | 2.91 (2.37 - 3.44) | 0.07 (−0.11 - 0.25) | 0.82 | 0.81 (0.77-0.85) |
Blood | 0.46 (0.32 - 0.61) | 0.85 (0.77 -.91) | 1.75 (0.,74 - 2.77) | −0.09 (−0.42 - 0.24) | 0.77 | 0.71 (0.59 - 0.80) |
Sensitivity and Specificity represent the independent pooled sensitivity (Se) and specificity (Sp) using fixed effect model. a and b represent the intercept and slope of SROC curve. AUC represent the area under SROC curve. Q* represents the diagnostic threshold at which the probability of a correct diagnosis is constant for all subjects and calculated as exp(a/2)/[1+exp(a/2)].