Table 2. Univariate and multivariate logistic regression model for predicting LNM.
| |
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 |
Abbreviations: BMI=body mass index; CI=confidence interval; FIGO=International Federation of Gynecology and Obstetrics; LN=lymph node; LNM=LN metastasis; MRI=magnetic resonance imaging; PET/CT=positron emission tomography/computed tomography; PM=parametrial; SCC Ag=squamous cell carcinoma antigen.
a
Continuous variable.