Statistical Analysis
Data were analyzed using SPSS v.22.0 (IBM Corp. Armonk, NY, USA).
Variables were summarized using mean, standard deviation, median,
minimum, maximum and percentages based on their characteristics.
Student’s t- test (two-tailed, independent) was used to compare
normally distributed continuous variables as appropriate. The
Mann–Whitney U test was used in discrete variables as appropriate. The
chi-square and Fisher’s exact test were used to evaluate parameters on
categorical scale. The binary logistic regression model was created for
multivariate analyses. To determine the cut-off value for cancer, the
receiver operating characteristic (ROC) curve analysis was performed.
p<0.05 was considered statistically significant.