Statistical analysis
Categoric and continuous values were expressed as the frequency (percentage) and mean ± standard deviation. Descriptive statistics were used to summarize all demographic and other clinical characteristics of the patients. Baseline participant characteristics in the three groups were compared using one-way analysis of variance (ANOVA) for continuous variables and chi-square tests for categoric variables. For the primary outcome variable, ie, reduction in mean oral temperature at 90 minutes was compared using one-way ANOVA. The results are presented with the associated 95% confidence interval. Where an overall group difference was found to be statistically significant, pairwise comparisons were made using the appropriate post hoc test. Reduction in mean oral temperature at 30, 60, and 120 minutes was analyzed using repeated-measures ANOVA. Means of quantitative variables between two independent groups were analyzed using the unpaired t-test. Associations between two or more qualitative or categoric variables were assessed using the chi-square test. For small cell frequencies, the chi-square test was used with a continuity correction factor. Pictorial presentations of the key results were made using appropriate statistical graphs. A two-sided P-value < 0.05 was considered to be statistically significant. All statistical analyses were done using Statistical Package for the Social Sciences version 19 software (SPSS Inc., Chicago, IL, USA).