18 September 2020 : Database Analysis
Development and Validation of a Prognostic Prediction Model for Postoperative Ovarian Sex Cord-Stromal Tumor Patients
Danming You1ABCDEF, Zuyu Zhang1CDE, Mingzhu Cao2AG*DOI: 10.12659/MSM.925844
Med Sci Monit 2020; 26:e925844
Table 2 Patients demographics and clinicopathological characteristics of training set and validation set.
Factors | Training set | Validation set |
---|---|---|
356 | 150 | |
≤50 | 214 (60.11%) | 80 (53.33%) |
>50 | 142 (39.89%) | 70 (46.67%) |
White | 254 (71.35%) | 100 (66.67%) |
Black | 64 (17.98%) | 37 (24.67%) |
Others and unknown | 38 (10.67%) | 13 (8.67%) |
Married | 157 (44.10%) | 72 (48.00%) |
Unmarried | 188 (52.81%) | 75 (50.00%) |
Unknown | 11 (3.09%) | 3 (2.00%) |
Negative/normal | 93 (26.12%) | 52 (34.67%) |
Positive/elevated | 102 (28.65%) | 37 (24.67%) |
Borderline or unknown | 161 (45.22%) | 61 (40.67%) |
≤95 | 115 (32.30%) | 47 (31.33%) |
>95 | 194 (54.49%) | 80 (53.33%) |
Unknown | 47 (13.20%) | 23 (15.33%) |
I | 227 (63.76%) | 103 (68.67%) |
II | 65 (18.26%) | 32 (21.33%) |
III | 64 (17.98%) | 15 (10.00%) |
Well differentiated and moderately differentiated | 51 (14.33%) | 25 (16.67%) |
Poorly differentiated and undifferentiated | 74 (20.79%) | 30 (20.00%) |
Unknown | 231 (64.89%) | 95 (63.33%) |
Granulosa | 260 (73.03%) | 100 (66.67%) |
Non-granulosa | 96 (26.97%) | 50 (33.33%) |
No/unknown | 181 (50.84%) | 72 (48.00%) |
Yes | 175 (49.16%) | 78 (52.00%) |
61 (0–154) | 54.5 (2–154) | |
Alive | 302 (84.83%) | 124 (82.67%) |
Dead | 54 (15.17%) | 26 (17.33%) |