Table 2. Univariate and multivariate analyses of prognostic parameters in cervical cancer using the Cox regression model.
| Parameters | Univariable | Multivariable | ||
|---|---|---|---|---|
| p-value | HR (95% CI) | p-value | ||
| MiR-101 expression | 0.006 | |||
| Low | 0.004 | 2.820 (1.473–3.925) | ||
| High | - | - | ||
| Tumor size (cm) | - | |||
| ≤4 | 0.192 | - | ||
| >4 | - | - | ||
| Differentiation | - | |||
| Well-moderate | 0.260 | - | ||
| Poor | - | - | ||
| SCC-Ag (μg/L) | 0.746 | |||
| ≤4 | 0.042 | 0.941 (0.452–2.103) | ||
| >4 | - | - | ||
| FIGO stage | 0.003 | |||
| IB1–IIA1 | 0.031 | 2.378 (1.653–3.946) | ||
| IIA2–IIIB | - | - | ||
| Lymph nodes metastasis | 0.015 | |||
| No | 0.042 | 2.023 (1.231–3.521) | ||
| Yes | - | - | ||
CI, confidence interval; FIGO, International Federation of Gynecology and Obstetrics; HR, hazard ratio; SCC-Ag, squamous cell carcinoma antigen.