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Re: staticmirror79 post# 18454

Thursday, 02/21/2019 8:37:20 AM

Thursday, February 21, 2019 8:37:20 AM

Post# of 43784
Hi
I am not so worried about people dying from another disease during the trial as this is already factored in our models, and that’s why we talk about “relative survival” VS “overall” or “observed survival”.

All the models compare:

1) The observed survival curve from the figures we know or assume from Cel SCI IT-MATTERS clinical trial (knowing the dates of enrolments – know some events dates – and assuming an end of trial date to reach 298 deaths)

VS

2)The Standard of Care survival curve.

This SOC curve has to be based on “overall survival” statistics to be able to be comparable. We can use for instance data from SEER DB, but most of the time they provide relative survival stats so one needs to adjust them.

The following link is interesting because it gives a hint the relationship between both :
relavive survival

(All phases observed survival is 56% and relative 65%)

The more we wait with no news, the more this analysis looks good as this shows that 1) is much better than 2)

So, my question is about the “evaluable” patients. If you remember well, 2 patients from the 21 had not HNSCC in phase II trial. Also Cel Sci was often mentioning 780 evaluable patients VS 880 enrolee

So if 298 events is related to the 794 patients from the 2 arms we are looking at (The third arm which accounts for 1/7 of the total 928 not being considered for the primary endpoint) the survival is currently really good after all these years : 497 survivors / 794 = 62%, far above any SOC statistic

But if 100 patients out of 794 were disqualified during the course of the trial because “not evaluable” (I am not saying those who died of other cause during the trial), then the 298 observed (not relative) count as counted by Cel Sci relates to 694 and then the survival is 396 / 694 = 57%. Slightly less than before.

I guess that’s another 10B $ question ??

Have a good day

Fosco
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