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. 2021 Apr 7;21:364. doi: 10.1186/s12885-021-08091-1

Table 5.

Logistic analysis of binary variables

Univariate logistic analysis Multiple logistic analysis
Factor OR 95%CI p-value Factor OR 95%CI p-value
DD (≥0.37) 4.40 2.12–9.09 0.0005> Age (≥60) 1.56 0.62–3.90 0.344
PIC (≥0.80) 8.26 3.44–19.9 0.0005> Tumor size (≥10) 1.94 0.84–4.42 0.116
SF (≥0.90) 5.74 2.68–12.3 0.0005> DD (≥0.37) 1.94 0.73–5.18 0.179
TAT (≥0.82) 2.11 1.06–4.20 0.0325 PIC (≥0.80) 3.36 1.19–9.43 0.0212
SF (≥0.90) 2.63 1.04–6.66 0.0404
TAT (≥0.82) 0.71 0.27–1.84 0.491

DD, PIC, SF and TAT were converted to binary variables (high or low) according to their respective thresholds. Multivariate analysis was analyzed with age (≥60) and size (≥10)