Development and External Validation of a Nomogram Predicting the Probability of Significant Gleason Sum Upgrading among Japanese Patients with Localized Prostate Cancer

Table 2

Uni- and multivariate logistic regression models predicting significant Gleason sum upgrading.

Predictors	Univariate predictive	Univariate model		Multivariate model
	accuracy	OR	𝑃	OR	𝑃
Preoperative PSA	0.569	1.020	.025	1.047	<.001
Clinical stage	NA
1c		1.000
2a		0.978	.934	NA	NA
2b		0.715	.334	NA	NA
2c		0.000	.983	NA	NA
3		0.528	.131	NA	NA
Biopsy Gleason primary	0.712
2		1.000
3		0.250	<.001	1.210	.677
4		0.041	<.001	0.064	<.001
5		0.000	.983	0.000	.992
Biopsy Gleason secondary	0.784
2		1.000
3		1.491	.435	3.050	.041
4		0.189	.002	0.156	.001
5		0.000	.98	0.000	.986
Predictive accuracy				0.889

OR: odds ratio; PSA: prostate-specific antigen; NA: not assessed.