Table 4.

Simple logistic regression model results for intraoperative tumor rupture with maximum tumor diameter ≥ different cut-offs.

Maximum diameter cut-off *	p-value	odds ratio	95% CI on odds ratio
3	0.8887	1.112	(0.253, 4.889)
4	0.2949	1.886	(0.575, 6.184)
5	0.1876	2.000	(0.713, 5.607)
6	0.3400	1.441	(0.681, 3.049)
7	0.3053	1.370	(0.750, 2.502)
8	0.0102	2.126	(1.196, 3.781)
9	0.0020	2.152	(1.324, 3.500)
10	0.0002	2.248	(1.461, 3.459)
11	<0.0001	2.161	(1.472, 3.172)
12	<0.0001	2.345	(1.622, 3.390)
13	<0.0001	2.251	(1.561, 3.246)
14	<0.0001	2.569	(1.762, 3.745)
15	<0.0001	2.606	(1.737, 3.910)
16	<0.0001	2.582	(1.603, 4.159)
17	0.0030	2.290	(1.326, 3.957)
18	0.0839	1.830	(0.922, 3.633)
19	0.0257	2.412	(1.113, 5.230)
20	0.0756	2.337	(1.113, 5.230)
21	0.2414	1.951	(0.638, 5.967)
22	0.3582	1.821	(0.507, 6.537)
23	0.9777	1.030	(0.126, 8.439)

Boldface indicates statistical significance.

^*The odds ratio is the increased odds of intraoperative tumor spill in the group of patients with maximum tumor diameter≥cut-off in comparison to the group with maximum tumor diameter<cut-off.