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Friday, 11/06/2015 10:20:30 PM

Friday, November 06, 2015 10:20:30 PM

Post# of 425915
I took the trouble of doing some math on the Cherry data by amplifying the dot plot and manually counting dots. I divided that dot plot into 4 quadrants. I put de lines at 0 in the y axis (improvement vs no improvement in the plaque volume), and at 100 in the percent change for EPA/AA in the x-axis. The rationale for using this cut-off is that I believe most EPA treated patients should be above that level.

Not perfect, but using these cut-offs I got about 100 dots on the low EPA/AA and about 100 on the high EPA/AA indicating that this is likely to be a good way of distinguish treated vs untreated. Then I calculated the % of patients that get worse (increased plaque volume) in each of the groups. This is what I got:

-43% of patients got worse in the low EPA/AA ratio group.
-Only 9% of patients got worse in the high EPA/AA group.


I know this analysis have limitations but in my view, the chances of having a cardiovascular event would increase if plaque volume get worse. My conclusion is that a the very minimum, EPA stops or reduce plaque growth very efficiently.


I wonder what you all think
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