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. 2022 Apr 16;29(8):4819–4829. doi: 10.1245/s10434-022-11671-5

Table 2.

Univariable analysis of the discovery cohort with cervical cancer

OR (95% CI) p-Value
Preoperative clinical size
 <2 cm 1 (Reference) 0.561
 >2 cm 1.083 (0.828–1.417)
Preoperative image size
 <2 cm 1 (Reference) 0.002
 >2 cm 2.151 (1.332–3.474)
Cone biopsy before surgery
 No 1 (Reference) <0.001
 Yes 0.307 (0.166–0.596)
Surgical approach
 Open 1 (Reference) 0.049
 MIS 1.605 (1.001–2.573)
First surgeon
 Fellow and junior surgeon 1 (Reference) 0.818
 Senior surgeon 0.938 (0.546–1.612)
Largest tumor diameter
 <2 cm 1 (Reference) 0.005
 >2 cm 1.972 (1.230–3.163)
Final histological grade
 1 1 (Reference) 0.096
 2–3 1.993 (0.884–4.493)
LVSI
 No LVSI 1 (Reference) 0.470
 Presence of LVSI 1.393 (0.567–3.419)
Depth of invasion
 Superficial <1/3 1 (Reference) 0.020
 Intermediate or deep >1/3 2.307 (1.138–4.674)
Margins status
 Negative 1 (Reference) 0.048
 Positive or close <2 mm 2.043 (1.005–4.151)
Lymph node status
 Negative 1 (Reference) 0.469
 Positive 1.289 (0.649–2.561)
FIGO staging 2018
 IB1 1 (Reference) 0.003
 IB2–II–III <4 cm 2.141 (1.285–3.567)
Adjuvant therapy
 Without adjuvant therapy 1 (Reference) 0.984
 With adjuvant therapy 1.005 (0.630–1.602)

Based on the existing evidence, a list of variables were chosen and the OR and 95% CI were calculated for the risk of relapse using simple logistic regression models to establish clinical and pathological variables independently associated with the outcome

OR odds ratio, CI confidence interval, MIS minimally invasive surgery, LVSI lymphovascular space invasion, FIGO International Federation of Gynecology and Obstetrics