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. 2021 Apr 15;21:408. doi: 10.1186/s12885-021-08135-6

Table 3.

Univariate and multivariate analysis to identify potential predictor in predicting regional lymph node metastasis

Univariate analysis Multivariate analysis
OR (95% CI) P Value OR (95% CI) P Value
Age ≤ 60

Reference

0.433 (0.137–1.376)

0.209
>  60
Gender Male

Reference

0.957 (0.390–2.351)

1.000
Female
Tumor size T1

Reference

59.933 (7.797–460.704)

0.000

Reference

15.175 (1.436–160.329)

0.024
T2
Tumor location

Anterior/

Middle

Reference

5.395 (2.259–12.888)

0.003

Reference

6.311 (1.514–26.304)

0.011
Posterior
rTTT* Minimal rTTT

Reference

31.067 (10.407–111.518)

0.000

Reference

11.528 (2.483–53.530)

0.002
Significant rTTT
PLD > 5 mm

Reference

29.000 (6.486–129.668)

0.000

Reference

11.976 (1.981–72.413)

0.007
≤ 5 mm
SLD >  4 mm

Reference

3.780 (1.417–10.088)

0.006
≤ 4 mm
Cell-differentiation Well

Reference

1.241 (0.552–2.792)

0.681

Moderate/

Poor

Abbreviations: OR = odds ratio, CI = confidence interval, PLD = Paralingual Distance, SLD = Sublingual Distance

* rTTT (radiologic tumor thickness threshold) was categorized into two groups: “minimal” and “significant” rTTT, depending on how many MRI-assessed tumor thicknesses exceed their cutoff values. Minimal rTTT was defined as only one orientation of MRI thickness (either aTT, cTT or sTT) found to be greater than its defined cutoff value or no MRI thicknesses exceeding their cutoff values, whereas significant rTTT was defined as at least two orientations of MRI thickness (either aTT, cTT or sTT) exceeding their cutoff values