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Table 1 The baseline characteristics of the EOC patients

From: Comprehensive machine learning-based preoperative blood features predict the prognosis for ovarian cancer

 

Overall(n = 331)

Training(n = 231)

Test(n = 100)

P value

Age (mean ± SD)

57.61 ± 10.39

57.89 ± 10.06

56.98 ± 11.14

0.466

Stage (%)

   

0.214

Early

137 (41.4)

90 (39.0)

47 (47.0)

 

Late

194 (58.6)

141 (61.0)

53 (53.0)

 

Histologic types (%)

   

0.058

Serous

229 (69.2)

158 (68.4)

71 (71.0)

 

Endometrioid

48 (14.5)

36 (15.6)

12 (12.0)

 

Mucinous

43 (13.0)

33 (14.3)

10 (10.0)

 

Clear cell

11 (3.3)

4 (1.7)

7 (7.0)

 

Grade (%)

   

0.823

G1

13 (3.9)

8 (3.5)

5 (5.0)

 

G2

44 (13.3)

31 (13.4)

13 (13.0)

 

G3

261 (78.9)

184 (79.7)

77 (77.0)

 

NA

13 (3.9)

8 (3.5)

5 (5.0)

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