[Retracted] Developing a Multimodal Model for Detecting Higher-Grade Prostate Cancer Using Biomarkers and Risk Factors

Table 2

Observational research of patient’s features.

Features	Group 1	Group 2	Probability
Number of patients	489	223	—
Number of assessed specimens	462	208	0.2
Aging	52.5	52.6	0.7
Prostate-specific antigen	10.9	7.8	0.4
Background	62.8	23.5	<0.0001
Number of initial biopsy	308	179	<0.0001
Transrectal ultrasound (prostatic level)	25	21	0.0086
Prostate-specific antigen density	0.22	0.16	1.0
Digital rectal examination	169	44	1.124
Prostate cancer diagnosis	108	77	1.172