The impact of gender difference on operative time in laparoscopic partial nephrectomy for T1 renal tumor and the utility of retroperitoneal fat thickness as a predictor of operative time

Table 2 Summary of the linear regression model for variables predicting the operative time of retroperitoneal laparoscopic partial nephrectomy

A. Retrospective approach (N = 111)
	Model 1					Model 2					Model 3
Valuable	B	B SE	β	P value	95% COI for B	B	B SE	β	P value	95% COI for B	B	B SE	β	P value	95% COI for B
(Constant)	153.90	5.22				120.09	10.50				88.75	15.10
Fatty tissue	1.80	0.38	0.41	<0.001	1.06–2.55	1.61	0.36	0.37	<0.001	0.89–2.32	1.11	0.39	0.26	0.005	0.34–1.89
Tumor size						1.51	0.41	0.31	<0.001	0.69–2.33	1.54	0.40	0.31	<0.001	0.75–2.33
Gender											20.60	7.33	0.25	0.006	6.07–35.13
R2				0.175					0.266					0.317
B. Transperitoneal approach (N = 64)
	Model 1
Valuable	B	B SE	β	P value	95% COI for B
(Constant)	166.14	6.90
Fatty tissue	1.22	0.44	0.33	0.008	0.34–2.10
R2				0.110

B Unstandardized coefficients, B SE Standard error of unstandardized coefficients, β Standardized coefficients, R2 Coefficient of determination

ISSN: 1471-2407