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mrmainstreet

03/02/18 12:19 PM

#123341 RE: Whalatane #123340

OK but wouldn't this theory apply to both arms of the trial? How would this affect RRR?
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smarterer

03/02/18 12:26 PM

#123345 RE: Whalatane #123340

Kiwi,

I think you bring up some points worth discussing. To me, though, the broad anti-inflammatory effects that EPA seems to have, coupled with its very low side-effects rates, suggest it will have tremendous value not only in CVD, but in numerous other multibillion $$ applications.

I think the REDUCE-IT results will be much more positive than you are positing, but there is certainly a possibility you are right. I'm willing to take my chances, especially at these prices, as the studies are pretty compelling, starting back with JELIS, even before they hit on a higher dosage.

I also think Bio is on to something regarding FDA screw-ups coming home to roost, though do not ever place full trust in courts reaching a just conclusion. They usually get it right, given a full exposure of facts and applicable laws, but miss often enough that I don't make big wagers on legal outcomes.

Good luck!
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ggwpq

03/02/18 12:49 PM

#123349 RE: Whalatane #123340

Kiwi, how you expect CG to know the placebo event rate without unblinding the data? TIA.
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VuBru

03/02/18 1:16 PM

#123357 RE: Whalatane #123340

Kiwi - If Granowitz literally meant that the placebo rate was exactly 5%, then their modelling would certainly show the trial will fail to meet an RRR = 15% target. Even my simple modelling shows this. If they knew R-It would fail, going to the expense of the planned advertising before R-it results would make little sense. I take the "5%" comment with a grain of salt, as an off the cuff estimate from someone on a phone call.
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HDGabor

03/04/18 9:10 AM

#123465 RE: Whalatane #123340

K-

Granowitz in the CC has already acknowledged that the placebo rate will be approximately 5% ( Co had previously stated that it could be as low as 5.2% )
Gabors response ( from memory ) was. ..." approx 5% could be anywhere between 4% and 6% ."...but I think Granowitz is skilled enough in modeling to be pretty accurate given the data they have access to .

Full with mistakes, way off ... e.g. CG did NOT say anything about what WILL be the rate .. he said "was assumed in the design of the study to incur major adverse cardiovascular events at a rate approximately 5% per year"

Please understand some basic things:
a.) study design isn't equal with actual study / data
b.) study design is fixed by SPA in 2011 ... the p rate had not been changed ...
c.) The study design is about number of enrollees ... assuming RRR (R), Power (P), p rate (pr), etc (E) ... you will get the required number of patients (NoP) ... it was 6,990. "To protect against the possibility that the actual placebo event rate is lower than estimated" they added additional 1,000 to the design ("without having to modify the other sample size assumptions") ... resulted in "event rate in the placebo group could be 5.2% per year". eg.

R x P x x pr x E = Nop

If you increase the NoP, do not change R, P and E ... the pr will be lower, but both cases, pre and post change, is a fix / calculated number.

It is not debatable that the designed p rate is 5.2% (somewhere between 5.150% or 5.249% ... due to rounding) ... the assumption, the design was fixed 6.5 years ago.

Hopefully it helps you to understand what is the design, why the p rate is 5.2% and why CG's words refer to this ...

Re. Jardiance and other "improvements"
- you constantly forget that 40% only are in the US ...
- patients were randomized 1:1 between arms, so any effect affects both arms ... could change the ARR, but "not" the RRR (e.g. 6% vs 3% and 4% vs 2% have the same RRR ... 50%)
- despite your reference to "worldwide" Kaiser follow-up (SMS, etc.) the statistics do not reflect the "expected" improvements

Best,
G