2.3 Data analysis and Statistical methods
SPSS® version 25 (IBM, Armonk, NY, USA) was used for statistical
analysis. Independent T test was used to compare the means of 2 normally
distributed groups (salivary vs neurogenic tumors). A Pearson
correlation coefficient was calculated to determine the Correlation of
tumor’ s tissue of origin and determinant factors for selecting surgical
approach to the post-operative complications. Binary logistic regression
analysis was performed to measure the odds of having neurological
complications in salivary and neurogenic PPS tumors. A p-value
<0.05 was significant. GraphPad Prism 8 (GraphPad Software,
San Diego, California, USA) was used to draw the bar charts. The free
available software RevMan 5.3 (Cochrane Collaborative, Oxford, England)
was used for the meta‐analysis and creation of the forest plot. The risk
ratios (RRs) of neurological complications and their 95% confidence
intervals (CIs) were calculated for each study. Statistical
heterogeneity was assessed using the Cochran Q statistic
(P value for heterogeneity) and
the I 2 statistic (total percentage of variation
resulting from heterogeneity). In case of significant heterogeneity
(I 2 ≥ 50) the random‐effect model was used,
while the fixed‐effect model was used in absence of significant
heterogeneity. Herein, we solely applied the fixed‐effect model to
obtain RR, HR, 95% CI, and P ‐value.