Spss statistical software ver 22 for windows

Continuous variables were expressed as mean (± standard deviation) and categorical variables as number (%). Continuous data of group variables were evaluated statistically using the Mann-Whitney test or Kruskal-Wallis test, and categorical data were analyzed using Pearson’s chi-test or Fisher’s exact test. Univariate analyses were used to evaluate associations between variables and outcomes. Variables for which significant differences were found in univariate analyses were included in multivariate logistic regression analyses to identify risk factors for complications. Failures of internal fixation were one of the main complications of interest.
Results were expressed as odds ratios (ORs) with 95% confidence intervals (CIs). Regression analysis of complications excluded patients lost to follow-up (n = 24). All statistical assessments were two-tailed and considered statistically significant at p < 0.05. IBM SPSS statistical software ver. 22 for Windows (IBM Corp., Armonk, NY, USA) was used for all statistical analyses.

Data are presented as the mean±standard deviation (SD) for age, laboratory examinations, and the number of target lesions; mean±SD (range) for length of hospital stay and dosage of lipiodol and doxorubicin; and number (%) for other categorical variables by treatment. Differences between the two treatments were evaluated using a two-sample t test for continuous data, the Mann-Whitney U test for continuous variables without normal distribution, and the Pearson chisquare or Fisher exact test for categorical variables. Univariate simple linear regression and binary logistic regression analyses were applied to evaluate the association of % change in total size of target lesions and tumor response (CR+PR) according to treatment and clinical characteristics, separately. Results are presented as β with corresponding 95% confidence interval (95% CI) and p-values via univariate linear regression analysis and as odds ratio (OR) with corresponding 95% CI and p-value via binary logistic regression analysis. All statistical assessments were two-tailed and considered significant for p < 0.05. All statistical analyses were performed using IBM SPSS statistical software ver. 22 for Windows (IBM Corp., Armonk, NY).