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. 2016 Sep 27;2016:3825819. doi: 10.1155/2016/3825819

Table 2.

Summary diagnostic performance of miRNAs for prostate cancer.

Analysis Group Subgroup Sensitivity (95% CI) Specificity (95% CI)
Quantitative analysis Overall 0.73 (0.62–0.82) 0.80 (0.70–0.87)
Ethnicity Asian 0.73 (0.63–0.81) 0.82 (0.63–0.80)
Other ethnicities 0.74 (0.61–0.84) 0.83 (0.72–0.90)
Sample types Serum 0.81 (0.75–0.86) 0.78 (0.68–0.86)
Plasma 0.78 (0.65–0.78) 0.80 (0.70–0.87)
Source of control Healthy control 0.79 (0.68–0.86) 0.82 (0.71–0.91)
BPH/benign patients 0.75 (0.70–0.79) 0.77 (0.71–0.82)

Qualitative analysis Overall
Ethnicity Asian 0.32 (0.28–0.36) 0.99 (0.96–0.99)
Other ethnicities 0.24 (0.22–0.27) 0.98 (0.96–0.99)
Sample types Serum 0.19 (0.16–0.21) 0.99 (0.98–0.99)
Plasma 0.43 (0.32–0.56) 0.95 (0.87–0.99)
Source of control Healthy control 0.21 (0.19–0.27) 0.99 (0.97–1.00)
BPH/benign patients 0.27 (0.25–0.29) 0.97 (0.96–0.99)
Assay methods N-MSP 0.39 (0.33–0.45) 0.99 (0.97–1.00)
Other methods& 0.24 (0.22–0.26) 0.97 (0.96–0.98)
Methylation gene location GSTP1 0.41 (0.25–0.59) 0.98 (0.94–1.00)
Other genes 0.22 (0.20–0.25) 0.98 (0.96–0.99)

MS-PCR (nonquantitative) and &quantitative methylation-sensitive PCR; quantitative methylation-specific PCR; spectrophotometric assay; and bisulphite sequencing.