The 'not significant' part could be due to low numbers in general, so they can't get the variances small enough to get low p numbers. It's a quote that I can't quite remember perfectly that is well known in sociology/psychology: "The only reason our findings aren't significant is because we're too damn lazy to drag enough people in for the study."

All kinds of medical regulation, financing etc. could lead to differences like this.