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 3 Univariate and multivariate analysis for the training set.
| Factors | Univariate analysis | Multivariate analysis | Score | ||||
|---|---|---|---|---|---|---|---|
| HR | 95% CI | P* | HR | 95% CI | P** | ||
| ≤50 | Ref | Ref | 0 | ||||
| >50 | 3.09 | (1.76–5.40) | 3.49 | (1.93–6.30) | 63 | ||
| White | Ref | Ref | |||||
| Black | 0.77 | (0.38–1.58) | 0.50 | (0.24–1.07) | |||
| Others and unknown | 0.15 | (0.02–1.07) | 0.17 | (0.02–1.30) | |||
| Married | Ref | Ref | 0 | ||||
| Unmarried | 2.22 | (1.22–4.05) | 2.04 | (1.08–3.85) | 34 | ||
| Unknown | 1.74 | (0.40–7.63) | 1.64 | (0.35–7.76) | 19 | ||
| Negative/normal | Ref | Ref | 0 | ||||
| Positive/elevated | 7.86 | (2.75–22.41) | 6.94 | (2.35–20.50) | 100 | ||
| Borderline or unknown | 3.23 | (1.11–9.38) | 2.79 | (0.95–8.19) | 60 | ||
| ≤95 | Ref | Ref | 0 | ||||
| >95 | 5.06 | (1.99–12.85) | 2.22 | (0.83–5.92) | 43 | ||
| Unknown | 5.38 | (1.87–15.48) | 3.36 | (1.14–9.87) | 63 | ||
| FIGO stage | |||||||
| I | Ref | Ref | 0 | ||||
| II | 3.28 | (1.64–6.57) | 2.82 | (1.35–5.88) | 58 | ||
| III | 5.20 | (2.76–9.79) | 6.79 | (3.42–13.47) | 98 | ||
| Well differentiated and moderately differentiated | Ref | Ref | 0 | ||||
| Poorly differentiated and undifferentiated | 2.32 | (0.76–7.13) | 3.34 | (1.04–10.79) | 64 | ||
| Unknown | 2.22 | (0.79–6.23) | 2.08 | (0.72–6.04) | 36 | ||
| Granulosa | Ref | ||||||
| Non-granulosa | 1.19 | (0.67–2.12) | |||||
| No/unknown | Ref | Ref | 0 | ||||
| Yes | 1.59 | (0.93–2.73) | 1.86 | (1.05–3.29) | 34 | ||
| HR – hazard ratio; 95% CI – 95% confidence interval. * ** | |||||||