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. 2018 Apr 18;9(9):1660–1666. doi: 10.7150/jca.24049

Table 4.

Multivariable logistic regression for the prediction of PLM

Variable Primary cohort (n = 782) Validation cohort (n = 407)
Odds ratio 95% CI P-value Odds ratio 95% CI P-value
Age >50 (year) 0.703 0.434-1.139 0.15 1.074 0.620-1.860 0.80
Preoperative SCC-Ag >3.26ng/mL 4.106 2.589-6.511 <0.05 3.022 1.720-5.309 <0.05
Thrombocytosis 1.311 0.757-2.269 0.33 1.135 0.623-2.067 0.68
FIGO stage (IIA vs. IA-IB) 1.648 1.048-2.593 <0.05 1.362 0.770-2.410 0.29
Grade (poor vs. others) 0.817 0.488-1.366 0.44 1.022 0.532-1.964 0.95
PI (+) 2.551 0.626-10.390 0.19 3.345 1.305-8.577 <0.05
LVSI (+) 5.031 2.531-10.002 <0.05 7.132 3.928-12.949 <0.05
DSI >2/3 1.525 0.968-2.404 0.07 0.763 0.427-1.364 0.36
Tumor size >4cm 1.102 0.639-1.901 0.73 1.554 0.807-2.992 0.19

SCC-Ag, squamous cell carcinoma antigen; FIGO, International Federation of Gynecology and Obstetrics; PI, parametrial involvement; LVSI, lymphovascular space involvement; DSI, depth of stromal invasion; PLM, pelvic lymphatic metastasis