When multiple comparisons are performed between two groups, you may risk accepting an intervention effect erroneously (Type 1 error). There are several approaches that deal with multiple testing. We chose to employ a Bonferroni adjustment on the secondary outcome measures in order to evaluate, identify and discuss dubious significant outcomes that may be due to statistical multiplicity.