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. 2019 Dec 11;11:10401–10408. doi: 10.2147/CMAR.S226594

Table 3.

Univariate and Multivariate Analysis for Patients with Cervical Cancer

Characteristics N Univariate Analysis Multivariate Analysis
3-year OS p HR (95% CI) p
Age
 <65 1055 84.6% 0.014 1
 ≥65 139 75.1% 1.7 (1.1–2.7) 0.011
Histology
 SCC 1065 84.9% <0.001 1
 Non-SCC 129 71.5% 2.3 (1.6–3.5) <0.001
Tumor size
 <4cm 477 90.3% <0.001 1
 ≥4cm 717 79.0% 1.7 (1.2–2.5) 0.004
FIGO stage
 I 154 90.8% <0.001 1
 II 826 85.3% 1.6 (0.8–3.1) 0.144
 III 205 72.7% 2.8 (1.4–5.7) 0.003
 IVA 9 21.4% 1.8 (0.5–6.9) 0.362
Mesorectum MLNs
 Yes 1184 0% <0.001 4.0 (1.8–9.1) 0.001
 No 10 84.4% 1
Para-aortic MLNs
 Yes 81 44.0% <0.001 1.8 (1.1–2.8) 0.017
 No 1113 86.3% 1
Pelvic MLNs
 Yes 353 69.3% <0.001 2.5 (1.7–3.7) <0.001
 No 841 89.2% 1
Common iliac MLNs
 Yes 96 52.0% <0.001 1.5 (0.95–2.3) 0.082
 No 1098 86.1% 1
Bilateral pelvic MLNs
 Yes 209 63.5% <0.001 1.0 (0.7–1.6) 0.938
 No 985 87.6% 1
Treatment approach
 RT 177 74.4% 0.001 1
 CCRT 1017 85.0% 0.6 (0.4–0.9) 0.010

Abbreviations: MLNs, metastatic lymph nodes; SCC, squamous cell carcinoma.