Table 2 Univariate and multivariate logistic regression model for predicting LNM
From: Preoperative nomogram for the identification of lymph node metastasis in early cervical cancer
Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
Variables | Odds ratio (95% CI) | P- value | Odds ratio (95% CI) | P- value |
Age, yearsa | 0.970 (0.947–0.994) | 0.015 | 0.969 (0.939–0.999) | 0.043 |
BMI, kg m−2 a | 0.941 (0.859–1.031) | 0.193 | ||
Parity, na | 0.857 (0.684–1.074) | 0.180 | ||
FIGO stage | ||||
IA2, IB1 | 1 | |||
IB2, IIA | 4.806 (2.637–8.761) | <0.001 | ||
Histology | ||||
Squamous cell | 1 | |||
Adenocarcinoma | 1.329 (0.698–2.530) | 0.386 | ||
Adenosquamous | 0.391 (0.049–3.116) | 0.375 | ||
Small cell | 2.580 (0.592–11.245) | 0.207 | ||
Squamous vs non-squamous | 1.272 (0.701–2.309) | 0.429 | ||
Pretreatment SCC Ag, ng ml−1 | 1.064 (1.014–1.115) | 0.011 | ||
Pretreatment SCC Ag, ng ml −1 (categorical) | ||||
<2 | 1 | <0.001 | ||
⩾2 | 5.035 (2.722–9.314) | <0.001 | ||
⩾2 and <5 | 4.375 (2.009–9.528) | <0.001 | ||
⩾5 | 5.859 (2.640–13.003) | <0.001 | ||
Tumour size by MRI, cma | 1.802 (1.485–2.187) | <0.001 | 1.584 (1.287–1.951) | <0.001 |
PM involvement by MRI | ||||
Yes | 2.375 (1.219–4.627) | 0.011 | ||
LNM by PET/CT | ||||
Yes | 13.963 (7.230–26.964) | <0.001 | 9.584 (4.772–19.249) | <0.001 |
