Table 4 Multiple logistic regression analysis.

From: Soluble programmed death-ligand 1 rather than PD-L1 on tumor cells effectively predicts metastasis and prognosis in soft tissue sarcomas

Characteristic

Recurrence

Metastasis

Dead of disease

OR

95%CI

p-value

OR

95%CI

p-value

OR

95%CI

p-value

Male

1.44

0.46–4.50

0.528

0.53

0.19–1.49

0.231

0.87

0.26–2.86

0.828

Age

1.02

0.98–1.07

0.289

1.01

0.97–1.04

0.688

1.07

1.01–1.13

0.024

Size

0.98

0.90–1.06

0.645

0.95

0.89–1.03

0.246

0.99

0.91–1.08

0.906

Superficial

2.28 × 10-8

/

0.992

0.70

0.16–3.07

0.645

0.23

0.02–2.32

0.215

Trunk

2.80

0.87–8.91

0.082

0.92

0.29–2.91

0.896

2.29

0.65–7.97

0.193

sPD-L1 > 44.26

1.72

0.54–5.49

0.355

8.92

2.63–30.0

0.001>

5.84

1.43–23.9

0.014

  1. Multiple logistic regression analysis to identify recurrence, metastasis, or dead of disease is shown. The ORs of sPD-L1 values were significant only in metastasis and DOD.
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