Table 4.

Multivariable and univariable logistic regression model for analyzing the effects of patients’ clinical characteristics on prostate cancer detection rate after propensity score matching

Characteristics	Multivariable		Univariable
	TRBx, OR (95% CI), P	TPBx, OR (95% CI), P	TRBx, OR (95% CI), P	TPBx, OR (95% CI), P
Age	1.101 (1.064–1.139), <0.001	1.038 (1.014–1.063), 0.002	1.118 (1.085–1.152), <0.001	1.045 (1.023–1.067), <0.001
PSA	1.059 (1.037–1.081), <0.001	1.035 (1.026–1.044), <0.001	1.064 (1.042–1.087), <0.001	1.035 (1.026–1.044), <0.001
PV	0.982 (0.973–0.991), <0.001	0.993 (0.985–1.000), 0.065	0.990 (0.983–0.997), 0.004	0.995, (0.988–1.001), 0.111

TRBx: transrectal biopsy; TPBx: transperineal biopsy; OR: odds ratio; CI: confidence interval; PSA: prostate-specific antigen; PV: prostate volume