Spss software for windows version 20

A case control study design was used with collection of data for age, sex, ABO, and Rh blood type with the inclusion criteria for case being the squamous cell carcinoma of the esophagus in the histology at Acharya Tulsi Regional Cancer Treatment and Research Centre, Sardar Patel Medical College, Bikaner (India), from January 2013 to December 2013. The control sample was collected from donors at the blood bank of the Department of Transfusion Medicine. A total of 480 cancer patients (252 males and 228 females) and 480 healthy controls (240 males and 240 females) were obtained for the correlation with ABO blood groups and Rh antigen status. Slide agglutination test and blood group of the patient and control were accessed. Anti-A, Anti-B, and Anti-D (IgM) monoclonal antibodies were used for screening of blood group (Mediclone Biotech, Chennai, India). Data is stratified by sex, histology, and anatomical site of cancer of esophagus. The blood group frequencies were compared by Chi-square test and odds ratio (OR) with 95% confidence intervals (CIs) being calculated using SPSS software for windows version 20.0 (Armonk, NY, IBM Corp.). The gene and allele frequencies of blood group were calculated by Hardy-Weinberg model (Table 5) using S2 ABO estimator software (Silvasquare, Lisboa, Portugal).

Statistical analysis was performed using IBM SPSS software for Windows version 20.0 (IBM Corp, Armonk, NY, USA) and graphs were created with GraphPad Prism version 3.02 (GraphPad Software, La Jolla, CA, USA). Mean ± standard deviation or median and interquartile range were used to present normally distributed and nonnormally distributed continuous variables, respectively. Categorical variables were presented as total number and percentage. Comparisons between groups were performed using Student’s t test or Mann–Whitney U test for continuous data or using chi-square test or Fisher’s exact test for categorical variables. Correlations between numerical data were performed with Spearman’s correlation coefficient. A linear regression model was built to analyze whether age and the diagnosis of LVV were independently associated with serum HMGB1 levels. Receiver operating characteristic (ROC) analysis was performed to find out the HMGB1 cutoff with the best sensitivity and specificity to differentiate GCA from TA. The cutoff value was chosen from the maximized sum of sensitivity and specificity. Paired t test or Wilcoxon’s test were used to analyze longitudinal data. The significance level accepted was 5 % (p < 0.05).

Data was analysed using Statistical Package for the Social Sciences (SPSS) software for Windows, version 20.0 (IBM Corp., Armonk NY). Univariate analysis was done to assess association of various parameters with presence of AKI and final outcome. Binary logistic regression analysis (forward conditional) was used to look for independent association of clinical and laboratory factors with the outcome. All p values were two-tailed, and considered to be significant at <0.05.

Data were analysed using SPSS software for Windows, version 20.0 (IBM, Portsmouth, UK). Associations between p-mTOR expression and the clinicopathological parameters were examined for statistical significance using Pearson’s χ² test or Fisher’s exact test (when n<5). For BVD and LVD analysis, data are expressed as the median, and this value was used as a cut-off point for statistical analysis. Five-year DFS and OS rates were evaluated using Kaplan-Meier curves, and differences were analysed by log-Rank or Breslow tests. P<0.05 was considered to indicate a statistically significant difference.