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.