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This file was generated by Descript 

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Judith: Welcome to Berry's In the
Interim podcast, where we explore the

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cutting edge of innovative clinical
trial design for the pharmaceutical and

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medical industries, and so much more.

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Let's dive in.

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Scott: All right.

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Welcome everybody.

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Back to in the interim.

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I'm Scott Berry.

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I'm your host, and I am a
statistician, as, as many of you

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know, uh, Bayesian statistician.

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And here on, in the
interim, we explore things.

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Around clinical trial science,
medical decision making, uh, data

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analytics, uh, this is our space.

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We, we have a new studio here.

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We're we're, our technology has
changed a little bit, and for those

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of you who consume this via video,
looks like a bit of a different place.

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Um, I am, I am recording
from a different place here.

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Uh, as, as you'll see throughout
multiple different places, I was,

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I was traveling to this place as
I introduced the topic for today.

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I was traveling here and I was, I was
connecting through an airport and I had,

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uh, it was a bit of a long day and I,
I was looking to get something to eat.

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And I went by a, uh, hamburger
place with, with quite a line, and

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I'm deciding do I want to go there?

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Do I wanna wait in the line?

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And I decide, no, I, I don't want that.

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Choice.

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I I and because I believe at one of the
places next door with a really short

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line that there's a, a really good, uh,
uh, chicken bowl, uh, by the way, a, a

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a bit of fan of kava if you have kava.

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So I think that's what I'm getting.

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And so I say no to the burger place.

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I, I, and I go and I
to get my chicken bowl.

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And so I get this, and it turns out
it wasn't at all what I was expecting.

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And I got something very
different than that.

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And it turned out to be almost
kind of a chicken salad type thing.

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And it was interesting because
then I got that and I'm, I'm

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walking by the burger place.

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You know, I, I, I really wish I would've.

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Gotten the burger, uh, in this setting.

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Uh, it's the, the, the, the
trials and tribulations of travel.

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Well, it, it introduces a bit of
my topic today, and the, the, the

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title of today's discussion is
Regulators False Choices and ICHE 20.

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And so I'm gonna try to tie this all
together in, in what I mean by this.

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So I'll start by talking about
the ICHE 20, uh, Kurt and

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I did a discussion of this.

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We, you can go back and, uh, previous
EP episode of the ICHE 20, it's

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a draft guidance document, uh,
that discusses adaptive trials.

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Now, most of this is good.

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Most of the ICHE 20 is good in the
sense that the existence of it, that

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adaptive designs are confirmatory trials.

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And by the way, backing up ICHE
20 is very much a harmonization.

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And so what goes in there is largely.

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Harmonized, essentially agreed throughout
many, many regulators, global regulators.

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And so in some level, this
is the floor of things.

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Now, different, different, uh, regions are
gonna have different behaviors on things,

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but to some extent a floor level things.

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So from that perspective,
adaptive designs are confirmatory.

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Sample size.

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Adaptations are confirmatory.

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Enrichment trials are confirmatory,
seamless trials are confirmatory response.

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Adaptive allocation is confirmatory
and it has a small set on

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Bayesian being confirmatory.

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All of these things are in there.

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Now, as you can go back to that there,
part of this is, it's written from a

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pretty, um, pretty negative viewpoint.

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Uh, uh, I'll say that from the perspective
of a lot of it is very cautionary.

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It, it's not inviting in that
perspective, but yet its existence

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is still a positive thing.

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I wanna jump into.

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What I'll call the paragraph and.

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It's because this paragraph has been,
uh, used, uh, uh, almost weaponized.

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Now I'm gonna go into this.

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I'm gonna talk about regulators and
I, and I do wanna say this upfront.

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I think regulators do an amazing job
and their perspective is different.

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I've never been a regulator.

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I've been proposing designs to
regulators for more than 25 years,

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and I think they do a tremendous job.

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So part of this may border on what you.

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You consider criticism, and I'm gonna
try to put myself in the mind of a

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regulator and think of that perspective
of what happens when you're on that

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side and, and evaluating designs.

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But from that side and perspective,
there's a particular paragraph and ICHE

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20 that I think has been weaponized
and I think the paragraph is wrong.

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So I thought that this would
make a good podcast, uh, to

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be a bit controversial here.

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So first in ICH-E20 There's a section
that talks about, this is section three

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and it talks about the adequacy within
the development program, section 3.1,

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and it had, this is not the
paragraph yet, but it has the

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sentence that says A stepwise.

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Program with careful analysis and
evaluation of completed exploratory

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trials helps inform the goals and design
choices for subsequent confirmatory

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trials, and ultimately generate data
necessary for regulatory decision making.

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Somewhat of an inno, innocuous
sentence, but it lays out this notion

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that a stepwise program, to some
extent is a bit of the gold standard.

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And I, it, it, that sentence has
is isn't a problem, but it, it, it

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sort of sets it out that almost what
we're doing now is kind of right.

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And things that are different than
that are, are pushing against that.

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But that moves into in the same section.

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And this is line 1 0 1
in this draft guidance.

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So this is the paragraph now,
and the start of this says

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the number and complexity of
adaptations at the confirmatory

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stage should generally be limited.

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So that's the first sentence,
and I'm gonna push back on that.

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And then it continues
increasing either of them.

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So the number and complexity.

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Increasing either of them as a
replacement for a sequence of multiple

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trials can impair the ability to
answer important clinical questions

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and limit the opportunity to carefully
reflect on prior results to design a

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development program most effectively.

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So that's, that's the paragraph.

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It does continue on.

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I think those two sentences are, are
what we'll spend a good bit of, of

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this, this episode, talking about, it
says, before planning a confirmatory

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trial with multiple adaptation sponsors,
sponsors should discuss whether

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additional exploratory trials are
necessary to investigate the questions

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addressed by the proposed adaptations.

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So this paragraph has, has been somewhat
weaponized in a way, and I know that

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sounds pejorative, but you, that this idea
that the number of adaptations, the number

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of interims and the complexity is bad.

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And it's a replacement for a
sequence of multiple trials.

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Now, remember, going back to some
extent that's the right answer here.

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So a couple things about this, and so by
the way, this has been presented where

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designs have been presented to regulators.

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They've come back and they've pushed
back on the design some form of

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no, and they've cited this draft.

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Paragraph for the reason for that.

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It's too complex.

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Do a separate trial and then a simple
phase three confirmatory trial.

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So within the guidance document
on adaptive trials that says

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all of this is confirmatory,
there's a paragraph that really.

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Limits much of it to something
that I'm gonna push back on,

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and I think it's largely wrong.

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So first, there's this, this general
thought that more adaptations is

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somehow bad or somehow not good.

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I think this is largely a myth.

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I don't believe it creates more bias.

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Yeah.

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It's operationally more
complex by the way.

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Marginally.

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It's to do, you know, seven
interims compared to six is

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marginally very little to do.

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Two compared to one is
marginally very little.

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That first one in setting up
the process of how this is

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done is an operational lift.

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It's it's minor relative to the
general operational burden of

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running a clinical trial, but.

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I, I think this is largely somewhat
of a myth that multiple adaptations

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in some way increases potential bias.

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And to some extent, I think it almost
decreases it when you do a single

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adaptation in a trial, a single
futility or a single success analysis.

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And much of these, what I'll call
myths, come from the traditional

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thing of the only adaptations or
stopping for success, yes or no.

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And now trials have moved on
greatly as many of those that I

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read that are in this guidance.

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Uh, the possibility of those.

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So when you do one of these analyses and
you continue on, or you don't stop or you

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jump futility, there's something learned
about what's going on in the trial.

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It's, you know, depending on when it,
it, the relatively minor, but people

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can perceive there to be potential
biases of that when you do one.

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That's the biggest potential there.

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If you did a hundred in a trial,
each one of these, I, I mean,

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it's just, it's like daily.

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These are being done essentially
ignored, and we've done trials.

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I SPY two used to do interims daily.

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It, it eventually went to weekly.

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And I think by the way, trials
are more likely to go that way.

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It essentially removes these,
these types of concerns.

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So I, I wanna push back on that,
but that's not even necessarily

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the, the, the large extent of it.

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It's that overall this sets up, and
this is where I'm gonna get into

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this idea of sort of false choices.

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This somewhat sets up the notion
that adaptations are shortcuts.

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That when the alternative is doing
multiple exploratory trials, that

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somehow adaptations are always shortcuts.

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And by the way, when you read
this ICHE 20, that's an overriding

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thought about this guidance document.

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It's, it's the part that when you read
it, much of it is set up in that way.

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And I think it's a false choice, and
I think false choices set that up.

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And so I wanna walk
through this a little bit.

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I'll walk through it with
examples and try to explain what

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I, what I mean by that from it.

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So I, I, I'll start with an example trial.

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And this trial, uh, was
conducted several years ago.

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The trial's over the name of the
trial is Sepsis Act, and it was a

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trial run by faring pharmaceuticals.

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It was the treatment for sepsis
and they had a treatment, uh, a

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form of a long-acting vasopressor,
and they had three doses.

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And to explore.

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And they were, they wanted to explore
the, the effective dose and they wanted

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to explore the effective dose on clinical
outcomes, not necessarily biomarkers.

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So the role is a long-acting vasopressor
going to be beneficial on clinical

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outcomes for patients with sepsis.

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So they have three doses in
placebo, and the question is,

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what kind of trial do they run?

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And they want to explore dose, and then
they want to run a phase three trial.

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Well, when we started looking at
this, initially, they thought of,

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okay, maybe we do a phase two trial,
separate sequential trials, and

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explore three doses in placebo.

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Well, to get some idea of the effect.

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Of dose on clinical outcomes like
length of, of organ support and

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mortality, that the endpoint in this
trial ends up being a composite of

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mortality and length of organ support.

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For those that survive an ordinal
endpoint, that 200 patients, or a

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hundred patients, or 200 patients
was, was insufficient to select dose.

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It's, it's too small.

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As you start to get into 400, 500, 600
patient trials, you're almost starting

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to get into phase three territory.

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So to run a realistic phase two
trial to understand clinical outcomes

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starts to get to 5, 6, 700 patients.

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Well, you now you're getting
into mini phase three trials.

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So they explored this and they
ended up with, here's, uh, I'll

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describe the Sepsis ACT trial.

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Where, when a hundred patients
are enrolled equal randomization

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to three doses and, and placebo
response, adaptive randomization

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starts only on the active doses.

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The, the randomization
to control is fixed.

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And by the way, it's fixed at,
uh, a third, so 33% and then

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the remaining 67 are set up.

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So it wasn't equally to all of them, but
the doses are equal and placebo's 33%.

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The response adaptive over these three
doses, it also had the possibility

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of adding a fourth dose if the
dose response looked increasing.

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Within that.

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So a neat little design that at a
hundred, these RAR updates start.

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Once 200 patients are enrolled, and
by the way, those happen monthly.

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So every month RAR is reset.

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So now we're starting to do a good
number of interims In this stage.

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One of the trial, once 200 patients are
enrolled, the trial could go to stage two.

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That would be selecting a single dose
and moving to one-to-one randomization.

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And the final sample size would be
1800 patients, including stage one,

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and that would form a phase three
trial and interims keep happening

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monthly, and it could go from 200,
anywhere up to 800 could be the

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dose ranging portion of this trial.

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At 800, there's a forced decision.

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Now you have to go to stage two
or you have to stop, and it's a

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large phase two trial, but largely
you'd be stopping for no go.

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I, I won't call it futility, but
it's a no Go to phase three, and

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it becomes a large phase two trial.

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If things are going very well and
you've identified a dose, it could go

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earlier and it's eight 1800 is the, is
the max, is the final sample size, and

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so there's no adaptive sample size.

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If this goes to phase three, the trial
ended up running, uh, more than 20

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interim analysis during the course of it.

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And this, this is considered a
complex design, multiple interims and.

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So now I, I'll, I'll claim that if
this, this design would be submitted

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in the presence of that paragraph, it
would be very easy for a regulator to

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look at that design and say, that's
too complex, too many interims.

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Go run a separate phase two sequential
trials are better as set up.

00:18:24.402 --> 00:18:27.912
Go run an 1800 patient phase two trial.

00:18:28.782 --> 00:18:32.442
Then when you've selected dose,
made your decisions go run an

00:18:32.442 --> 00:18:34.842
1800 patient phase three trial.

00:18:35.982 --> 00:18:40.722
So as a regulator, maybe
that's what you're evaluating.

00:18:40.782 --> 00:18:45.792
So when presented this seamless
two three trial with a, with

00:18:45.822 --> 00:18:47.077
a good number of interims.

00:18:48.042 --> 00:18:50.922
In the trial, a fair amount of complexity.

00:18:51.312 --> 00:18:54.822
And again, I'll back up and
think that these, these interims

00:18:54.822 --> 00:18:56.292
aren't causing more bias.

00:18:56.292 --> 00:18:59.112
They're not somehow risking this.

00:18:59.112 --> 00:19:01.122
It's not a bad thing that these are done.

00:19:01.122 --> 00:19:03.882
I think in some ways they
de-risk all of it, but

00:19:06.012 --> 00:19:12.522
the the when, when saying, oh
no, you can't do that trial.

00:19:13.842 --> 00:19:16.152
They think the alternative.

00:19:17.232 --> 00:19:23.082
Is an 800 patient phase two, followed
by an 1800 patient, phase three.

00:19:25.032 --> 00:19:28.752
The problem is, that's not the
alternative, that's a false choice

00:19:29.742 --> 00:19:34.272
as this extreme sort of value
is, oh no, I don't want that.

00:19:34.452 --> 00:19:38.142
I, I'm gonna get this other thing,
but you're not getting that.

00:19:38.652 --> 00:19:44.682
So you say no to design a and now you've
got a paragraph that somewhat weaponizes.

00:19:45.222 --> 00:19:47.172
A reason to say no to that.

00:19:47.202 --> 00:19:53.502
Hoping you're going to get
design B 800 plus 1800, but you

00:19:53.502 --> 00:19:56.382
don't get B, you get design C.

00:19:57.462 --> 00:20:00.012
What do you get in that circumstance?

00:20:00.672 --> 00:20:05.502
Well, you either get that they don't
explore dose and they go to phase three

00:20:05.772 --> 00:20:13.272
or a small 200 patient trial that actually
does a really poor job at dose finding.

00:20:13.272 --> 00:20:14.142
Go no go.

00:20:14.772 --> 00:20:17.742
Followed by 1800 in that.

00:20:19.662 --> 00:20:23.802
So the design you want, which
is 2,600 patients in the

00:20:23.802 --> 00:20:26.082
separate, is never gonna be run.

00:20:26.832 --> 00:20:28.092
It's a false choice.

00:20:28.092 --> 00:20:33.942
And the reason for that, now coming
back to this idea within this trial

00:20:34.332 --> 00:20:37.632
is, is this adaptive design a shortcut?

00:20:39.372 --> 00:20:41.562
And it is a shortcut.

00:20:42.267 --> 00:20:50.817
When evaluated compared to 800
and then 1800, it's a shortcut.

00:20:51.747 --> 00:20:52.587
Uh, in that setting.

00:20:52.587 --> 00:20:55.227
It's combining the 800 with the 1800.

00:20:55.587 --> 00:20:57.927
Now we can control type 1 error.

00:20:57.927 --> 00:21:01.137
We can understand all of
the characteristics of this.

00:21:01.197 --> 00:21:05.847
We can make it a confirmatory
trial, but it is using 1800

00:21:05.847 --> 00:21:07.797
patients rather than 2,600.

00:21:07.797 --> 00:21:10.017
It's efficient within that perspective.

00:21:10.872 --> 00:21:16.002
So, but compared to 800 and 1800, you
could claim it's a shortcut, but that's

00:21:16.002 --> 00:21:18.012
a design that's never going to be run.

00:21:19.692 --> 00:21:26.502
What would be run is 200 plus 1800,
and the 1800 with the seamless

00:21:26.502 --> 00:21:28.752
up to 800 is a better design.

00:21:29.322 --> 00:21:31.812
It's better design for regulators.

00:21:31.812 --> 00:21:34.332
It's a better design for patients.

00:21:34.572 --> 00:21:36.972
It's a better design for sponsors.

00:21:37.512 --> 00:21:39.672
Everything about it is better.

00:21:42.372 --> 00:21:46.362
And that's the value of
adaptive designs here.

00:21:46.602 --> 00:21:52.152
And efficiency isn't shortcut efficiency
is the ability to answer questions that

00:21:52.152 --> 00:21:54.192
aren't going to be done separately.

00:21:56.532 --> 00:21:56.802
Now.

00:21:58.437 --> 00:22:05.577
Go back to episode 17, by the way, where
we, we, I, I talk about a paper, uh, with

00:22:05.577 --> 00:22:08.367
Lindsey Berry, Joe Mary, and Kurt Veley.

00:22:08.787 --> 00:22:16.347
If you have 1800 patients to use as
a sponsor and you have three doses to

00:22:16.347 --> 00:22:23.727
explore, a seamless two three trial is
going to dominate in terms of getting

00:22:23.727 --> 00:22:26.187
the right dose in terms of power.

00:22:27.072 --> 00:22:33.222
Any other sequential use of those
1800 patients, you could break

00:22:33.222 --> 00:22:39.402
it up into 500 and 1300, uh,
compared to a seamless trial.

00:22:39.402 --> 00:22:46.272
And that paper shows, uh, uh, Barry
et all shows that that's the optimal

00:22:46.272 --> 00:22:50.202
way, improves power, dose selection,
everything about it is better.

00:22:52.092 --> 00:22:54.342
Better than separate trials.

00:22:55.122 --> 00:23:00.317
So that's the part of this that
I think's a false choice is.

00:23:01.977 --> 00:23:03.897
No, I don't want A, I want B.

00:23:03.897 --> 00:23:05.577
But you don't get B, you get C.

00:23:06.777 --> 00:23:08.847
It happened to me traveling yesterday.

00:23:09.057 --> 00:23:13.437
I said no to a thinking I was gonna get,
you know, I said no to the hamburger

00:23:13.797 --> 00:23:15.597
thinking I was getting something else.

00:23:15.597 --> 00:23:17.487
What I got was not that.

00:23:17.877 --> 00:23:20.787
Uh, I would've gotten the
hamburger had I had the choice.

00:23:20.847 --> 00:23:25.137
The same thing from the
regulator perspective here now.

00:23:26.367 --> 00:23:27.207
What does this mean?

00:23:27.207 --> 00:23:32.667
Interestingly, by the way that trial
design was, was run, it was given a spa,

00:23:32.727 --> 00:23:35.202
a special protocol assessment by the FDA.

00:23:36.267 --> 00:23:38.487
Was approved, they said yes.

00:23:38.787 --> 00:23:43.107
Uh, there were, there were various
interactions and I think the interactions

00:23:43.107 --> 00:23:45.507
really were in what, what would be done.

00:23:45.507 --> 00:23:51.297
And it was presented, and by the way,
this did go to multiple regulators as.

00:23:51.597 --> 00:23:56.457
Why don't you do a 200 patient phase two
trial and then a phase three trial and

00:23:56.457 --> 00:24:01.257
it, we were able to present the different
operating characteristics of this, and I

00:24:01.257 --> 00:24:06.087
think it was with the ability to see the
range of potential possibilities here.

00:24:06.237 --> 00:24:10.167
This is actually a pretty good
design for all parties involved,

00:24:10.167 --> 00:24:11.997
and it's not a shortcut.

00:24:13.197 --> 00:24:16.527
Adaptive designs are not shortcuts.

00:24:17.457 --> 00:24:20.217
Efficiency is not shortcuts.

00:24:21.267 --> 00:24:25.617
Depending on what you think the
possibility of those designs are.

00:24:26.487 --> 00:24:27.027
Okay.

00:24:27.597 --> 00:24:31.497
Interestingly, in that trial where
these interims were run, I was actually

00:24:31.497 --> 00:24:33.897
unblinded during the course of this trial.

00:24:34.317 --> 00:24:39.507
Had this trial been a 200 patient, phase
two, they would've run phase three.

00:24:40.077 --> 00:24:43.977
They would've run an 1800 patient
phase, uh, phase three trial.

00:24:44.457 --> 00:24:46.827
The data at that time were quite positive.

00:24:46.917 --> 00:24:49.527
Now, by the time 800 rolled around.

00:24:50.427 --> 00:24:53.577
It wasn't positive and
it stopped for no-go.

00:24:54.657 --> 00:24:59.007
And you can go, you can look up the
various characteristics of, uh, uh,

00:24:59.007 --> 00:25:02.997
the results have been reported on
this, and the trial was a no-go.

00:25:02.997 --> 00:25:04.227
It didn't go to phase three.

00:25:04.947 --> 00:25:09.507
It ended up using approximately 800
patients, uh, with, and I think the,

00:25:09.507 --> 00:25:10.917
the result of it was quite good.

00:25:10.917 --> 00:25:11.877
200 patients.

00:25:11.877 --> 00:25:15.597
It would've conducted a very large,
expensive phase three trial with

00:25:15.597 --> 00:25:20.367
CMC and the expansion to it, which I
think would've been the wrong choice

00:25:20.697 --> 00:25:25.917
now, uh, that, that's, that's one
particular outcome of the trial, but

00:25:25.917 --> 00:25:29.187
we simulated all the possibilities
and we know the probability

00:25:29.187 --> 00:25:30.837
that of these things happening.

00:25:31.482 --> 00:25:34.632
From a 200 patient trial is quite
different from the 800 and that was

00:25:34.632 --> 00:25:37.332
part of how this trial was built.

00:25:40.152 --> 00:25:47.382
So this, this idea is a lot of times a
design is presented to regulators and

00:25:47.382 --> 00:25:49.932
they're evaluating that single design.

00:25:51.372 --> 00:25:55.482
And so when you're evaluating that,
it's always well compared to what,

00:25:55.692 --> 00:26:01.122
and that's the, that's what as, as
somebody who for 25 plus years have been

00:26:01.122 --> 00:26:05.532
submitting design to regulators, a lot
of times we submit that single design.

00:26:06.342 --> 00:26:09.762
And yes, there's a line I use quite
frequently, I'm sure I've used it on

00:26:09.762 --> 00:26:14.232
another podcast, is when somebody asks me
as a statistician, Hey, how's your wife?

00:26:14.652 --> 00:26:16.752
Uh, the answer's well compared to what?

00:26:18.012 --> 00:26:22.182
Now my wife, by the way, listens
to all these podcasts, uh, and

00:26:22.182 --> 00:26:26.502
she's a saint, as you can imagine,
uh, putting up with, with this.

00:26:26.862 --> 00:26:29.472
Uh, but that's the same sort of thing.

00:26:29.472 --> 00:26:32.022
It's what compared to what and if you're.

00:26:32.412 --> 00:26:39.072
In the mindset of, okay, I've
been presented this design a boy.

00:26:39.072 --> 00:26:45.072
I'd rather have them do separate
trials, big trials sort of thing.

00:26:45.222 --> 00:26:49.602
If, if, if I'm thinking that's my
comparison, oh, I, I, I might say no to

00:26:49.602 --> 00:26:56.472
A, because I think I'm getting B, but B
is not possible and it's not gonna be run.

00:26:56.472 --> 00:26:57.972
And you get c.

00:26:59.397 --> 00:27:01.377
So a recent example of this.

00:27:01.377 --> 00:27:04.827
So part of this is how do we,
how do we help this process?

00:27:05.127 --> 00:27:08.517
And if, if I were a regulator, I
might very well do the same thing.

00:27:08.517 --> 00:27:11.007
So I don't want this to be
a criticism of regulators.

00:27:11.007 --> 00:27:13.677
They sit in a different chair
and they're evaluating a

00:27:13.677 --> 00:27:16.377
single design, a single thing.

00:27:16.377 --> 00:27:17.517
How, how is that?

00:27:17.517 --> 00:27:21.717
Well, I mean, compared to what, and I
might think, oh, you should do, you should

00:27:21.717 --> 00:27:23.577
do this adaptive design sort of thing.

00:27:23.787 --> 00:27:25.617
So I, I push back on a.

00:27:25.872 --> 00:27:28.482
But I don't get a better adaptive design.

00:27:28.542 --> 00:27:31.332
Maybe I get a design I think
is worse than that one.

00:27:31.632 --> 00:27:34.122
So that's a challenge in this interaction.

00:27:34.122 --> 00:27:37.992
You usually throw a single design
and say, Hey, how about this design?

00:27:38.592 --> 00:27:42.162
A recent example of this was
another seamless two three trial.

00:27:42.882 --> 00:27:49.062
It explored two doses and, uh, a
relatively rare disease, by the way,

00:27:49.332 --> 00:27:55.962
exploring two doses and picking a dose,
moving to one-to-one randomization,

00:27:56.232 --> 00:28:01.482
and going to a section that is
then, uh, uh, adaptive sample size.

00:28:01.482 --> 00:28:06.402
So three interims to select sample
size once it moves to one-to-one,

00:28:06.942 --> 00:28:11.472
and that that's the trial design
and submitted to regulators.

00:28:13.092 --> 00:28:15.372
Now there's some pushback on that.

00:28:15.492 --> 00:28:21.342
And again, that paragraph could be
used to say, aha, you're doing dose

00:28:21.342 --> 00:28:24.432
selection, you're doing several interims.

00:28:24.672 --> 00:28:30.192
That's too complex to be confirmatory.

00:28:30.612 --> 00:28:34.002
Go run a separate phase two
and then run phase three.

00:28:34.182 --> 00:28:40.542
And this was actually the advice given
by regulars given by the FDA within that.

00:28:42.447 --> 00:28:45.927
When this comes back and you're
working with the sponsor and you

00:28:45.927 --> 00:28:47.967
say, okay, how about the possibility?

00:28:48.087 --> 00:28:51.957
Oh, and, and by the way, part of
the reason was the pushback is

00:28:51.957 --> 00:28:55.497
the endpoint in this trial is a
relatively long-term endpoint.

00:28:57.012 --> 00:29:02.442
And so we're making dose selection
based on early predictive markers.

00:29:02.622 --> 00:29:07.092
Now, those markers are not the
confirmatory marker endpoint at the

00:29:07.092 --> 00:29:09.252
end, which is the longer term agreed.

00:29:09.612 --> 00:29:12.252
Uh uh, fields function survives endpoint.

00:29:13.992 --> 00:29:19.212
But we have to, because of enrollment and
'cause of the scenario base it, there will

00:29:19.212 --> 00:29:23.322
be a little bit of long-term endpoint, but
largely it's an earlier endpoint and the

00:29:23.322 --> 00:29:28.362
FDA was concerned about the predictability
of that and they would rather have a

00:29:28.362 --> 00:29:31.932
separate phase two that goes all the
way out, long-term clinical outcome,

00:29:31.962 --> 00:29:33.732
make your decision and run phase three.

00:29:33.732 --> 00:29:35.052
And that was the advice given.

00:29:35.562 --> 00:29:38.472
So now the regulator gets
this design A and thinks, oh,

00:29:38.472 --> 00:29:39.852
that would be a better design.

00:29:40.562 --> 00:29:47.192
And you can always create a superset
design to an adaptive design that is

00:29:47.192 --> 00:29:58.052
better, but that would then be this
larger, longer phase 2 larger phase 3

00:29:59.457 --> 00:30:04.497
And when going back to the sponsor and
saying, okay, is that a possibility?

00:30:04.527 --> 00:30:05.727
It's impossible.

00:30:06.447 --> 00:30:08.157
They said the company would fold.

00:30:08.157 --> 00:30:09.807
That trial can't be run.

00:30:11.577 --> 00:30:18.567
So that, I mean, that's where this
falls into it is any adaptive design.

00:30:18.567 --> 00:30:22.497
You can create a design that's a superset
of it and say, oh, you should do that.

00:30:22.647 --> 00:30:24.087
It's not a possible choice.

00:30:24.117 --> 00:30:25.707
You, you, that you can't do that.

00:30:25.707 --> 00:30:29.217
So saying no to A, because I
want B, it's a false choice.

00:30:31.692 --> 00:30:35.577
So what the, what, what's if
somebody, if regulator says, no,

00:30:35.577 --> 00:30:38.847
you can't do design a what gets run.

00:30:39.477 --> 00:30:44.607
Is a phase 3 trial without dose selection,
and that's what the sponsor said.

00:30:44.697 --> 00:30:49.167
If we can't run that trial that selects
a dose based on earlier interval, we're

00:30:49.167 --> 00:30:55.287
just gonna pick a dose and run phase 3
What you get back is not why you said

00:30:55.287 --> 00:31:00.357
no to a, so all of a sudden, suppose
the regulators understood that the

00:31:00.357 --> 00:31:06.987
choice was that design A, that at least
selects dose based on an earlier marker.

00:31:09.027 --> 00:31:13.467
And then moves into the seamless phase
2/3 part of it into the confirmatory

00:31:13.467 --> 00:31:17.697
part, or you just get a phase 3 and
they pick the dose with no data.

00:31:18.927 --> 00:31:25.077
I think they'd pick design A, and they'd
live with picking it on that endpoint, but

00:31:25.077 --> 00:31:28.347
when evaluating it, in their mind they're
thinking, oh, I, I think you should

00:31:28.347 --> 00:31:30.507
do design B, but that's not a choice.

00:31:31.707 --> 00:31:36.117
Now, this is a bit of
a challenge for us is.

00:31:36.462 --> 00:31:37.842
How do, how do we work with that?

00:31:37.842 --> 00:31:41.532
How do we present this in a way
that's consumable and all of that?

00:31:41.532 --> 00:31:43.302
And I'll, I'll come back
to that a little bit.

00:31:44.292 --> 00:31:48.612
What, what happened here, by the
way, is a great story is in the

00:31:48.612 --> 00:31:54.252
in-person meeting, the sponsor
shared that we can't run that design.

00:31:54.252 --> 00:31:55.602
We can't run separate troughs.

00:31:55.662 --> 00:31:57.222
I mean, it would not be run.

00:31:57.942 --> 00:32:02.112
The agency became a partner in this.

00:32:02.832 --> 00:32:06.882
Sort of development as where do we go?

00:32:06.942 --> 00:32:09.282
What can we do under this setting?

00:32:09.492 --> 00:32:15.402
And largely, uh, a form of a
slightly a, a adapted in a good way.

00:32:16.122 --> 00:32:17.922
It was what came out of that.

00:32:18.432 --> 00:32:21.102
So it was a beautiful interaction.

00:32:21.102 --> 00:32:25.722
And again, I think the FDA did a
tremendous job in being partners, in

00:32:26.022 --> 00:32:29.442
creating better care for patients.

00:32:29.772 --> 00:32:36.102
And it was, it was great, but it's
this hard aspect of, of evaluating

00:32:36.102 --> 00:32:37.782
a single design in isolation.

00:32:39.807 --> 00:32:43.347
Another example of this, and I'll,
I'll do this relatively quickly, was an

00:32:43.347 --> 00:32:47.967
enrichment trial where it started off
one-to-one randomization phase three

00:32:47.967 --> 00:32:52.107
trial, but there's a concern about
what's the right patient population

00:32:52.107 --> 00:32:55.797
and there's some risk that we might be
enrolling patients who who don't benefit

00:32:56.007 --> 00:32:57.207
the, you know, there's always this.

00:32:57.927 --> 00:33:02.667
Enrolling people on the healthy side or
the less healthy side maybe, that you

00:33:02.667 --> 00:33:08.937
can't really mod, uh, you, you can't
modify the effect in those patients

00:33:08.937 --> 00:33:11.337
sealing and, and, and floor effects.

00:33:11.877 --> 00:33:12.687
So.

00:33:13.062 --> 00:33:16.602
Starts off enrolling a rather
larger set, but could restrict

00:33:16.602 --> 00:33:21.162
enrollment, do enrichment in
the trial, and to do enrichment.

00:33:21.162 --> 00:33:23.262
Well, by the way, when you
simulate these trials, you

00:33:23.262 --> 00:33:24.702
have to do it relatively early.

00:33:24.702 --> 00:33:28.542
If you wait too long to do enrichment,
you know your trial's largely

00:33:28.542 --> 00:33:30.312
enrolled and it has little benefit.

00:33:30.642 --> 00:33:33.462
In it, but it, so you need
to do it relatively early.

00:33:33.462 --> 00:33:38.412
So the trial had three interims
for potential enrichment, and then

00:33:38.412 --> 00:33:40.272
had three interims for sample size.

00:33:40.302 --> 00:33:45.162
So all of a sudden, this is a
six interim phase three trial.

00:33:47.322 --> 00:33:51.462
This literally referenced
the paragraph that I gave you

00:33:51.462 --> 00:33:53.622
as, this is too complicated.

00:33:54.612 --> 00:33:57.672
Doomed it by saying, this is this trial.

00:33:57.672 --> 00:34:01.932
It makes because of the complexity and
the adaptations, it makes that trial

00:34:01.962 --> 00:34:05.532
exploratory, and that's, that's death.

00:34:05.532 --> 00:34:07.602
It means it's not a confirmatory trial.

00:34:08.382 --> 00:34:12.522
By the way, A different regulator
region said, yes, the design's good.

00:34:12.732 --> 00:34:18.552
We like it, which is, which is a
challenge here, but I think the

00:34:18.552 --> 00:34:23.442
regulator that said, no, this is
exploratory, and use that paragraph.

00:34:24.882 --> 00:34:29.772
As a weapon, thought they'd get
a different design, run that

00:34:29.952 --> 00:34:35.922
trial to understand the patient
population and then run phase three.

00:34:37.032 --> 00:34:39.132
But that trial's never going to happen.

00:34:40.002 --> 00:34:46.242
Uh, it's unaffordable the time the, those
large phase twos don't happen in that.

00:34:47.397 --> 00:34:51.447
What would happen is they guess at
the patient population and they don't

00:34:51.447 --> 00:34:57.027
actually explore that and they run a
phase three at risk, or they ignore

00:34:57.027 --> 00:35:00.987
the region that said no to the trial,
which neither one of those is a better

00:35:00.987 --> 00:35:04.527
option than trial A of what they got.

00:35:04.527 --> 00:35:10.017
And so that's a huge aspect here and,
and such a challenge, uh, in these

00:35:10.017 --> 00:35:13.467
circumstances of being a regulator
because maybe you don't know what

00:35:13.467 --> 00:35:15.807
the alternatives are if you reject.

00:35:16.782 --> 00:35:17.322
The null.

00:35:17.322 --> 00:35:18.432
What's the alternative?

00:35:18.432 --> 00:35:21.282
If you reject a design, what,
what, what am I gonna get?

00:35:21.672 --> 00:35:25.242
Uh, and maybe I would go back
and actually really like the one

00:35:25.242 --> 00:35:26.652
that, that was already submitted.

00:35:28.632 --> 00:35:32.682
And so several parts of this, again,
that design this, you know, call it.

00:35:33.207 --> 00:35:37.617
A thousand patients in this
enrichment phase three trial.

00:35:37.917 --> 00:35:43.377
What they'd rather have is a thousand
patient exploratory trial to find the

00:35:43.377 --> 00:35:46.707
enrichment or the enrichments only can
happen up through 400, run a separate

00:35:46.707 --> 00:35:51.657
400, and then run a thousand patient phase
three, but that's never gonna be run.

00:35:51.657 --> 00:35:58.767
That trial is more efficient, sorry, not
more efficient, but more powerful than

00:35:58.797 --> 00:36:01.047
this seamless thousand patient trial.

00:36:02.442 --> 00:36:03.942
But that's not a choice.

00:36:04.902 --> 00:36:10.902
And so this now does better than all the
alternatives and the adaptations allow

00:36:10.902 --> 00:36:12.557
a better trial to be run for everybody.

00:36:14.667 --> 00:36:16.407
Another very, very simple example.

00:36:16.407 --> 00:36:17.457
It's a very common example.

00:36:17.457 --> 00:36:20.307
This isn't a real one,
but it's reflective.

00:36:20.307 --> 00:36:24.777
The other ones were real examples is
reflective of what happens quite a bit.

00:36:24.777 --> 00:36:30.087
Is uh, a sponsor's interested in running a
phase three trial, one-to-one randomized.

00:36:30.857 --> 00:36:34.217
Uh, double blind, all the nice things.

00:36:34.547 --> 00:36:39.707
And they say, okay, for, for, uh, an
effect that they think their drug has

00:36:39.707 --> 00:36:46.247
of Delta, they get an 80, 90, it doesn't
matter percent power trials, 180 patients.

00:36:47.597 --> 00:36:52.787
And then you show them, well, you
know, a smaller effect than Delta,

00:36:53.237 --> 00:36:55.787
which is still clinically meaningful.

00:36:55.997 --> 00:36:59.272
Might only have 50 or
60% power with your 180.

00:37:01.257 --> 00:37:05.937
But they don't wanna run a 300
patient trial because they think

00:37:05.937 --> 00:37:09.657
they're better than that and they
think that's a waste of resources.

00:37:10.197 --> 00:37:15.297
So if given the choice of a
single fixed trial, they're

00:37:15.297 --> 00:37:17.097
gonna run 180 patient trial.

00:37:18.357 --> 00:37:22.617
Now the risk is that there's a
clinically meaningful drug that

00:37:22.617 --> 00:37:23.847
doesn't hit success with that.

00:37:24.807 --> 00:37:29.247
So you show them what if we do
several adaptations for sample size?

00:37:29.517 --> 00:37:33.117
And suppose we do interims at
150, so if the drug's even more

00:37:33.117 --> 00:37:35.187
effective, we get out sooner.

00:37:35.667 --> 00:37:40.887
200, 2 50, or 300 with
appropriate futility rules.

00:37:41.802 --> 00:37:46.992
And success looks and all of a sudden
this design performs really, really well

00:37:46.992 --> 00:37:52.062
because if their Delta's true, they still
get out with something that on average is

00:37:52.062 --> 00:37:58.002
180 or, or better than that, they stop at
150, 200 with high probability, and that's

00:37:58.002 --> 00:38:00.552
really good if it's clinically meaningful.

00:38:00.552 --> 00:38:03.762
But less than that Delta, they
still have a good chance of

00:38:03.762 --> 00:38:06.072
successor 200, 2 50, or 300.

00:38:07.227 --> 00:38:08.817
So a really nice design.

00:38:08.817 --> 00:38:13.827
Now, if somebody says, that's too
complex, too many interims, they

00:38:13.827 --> 00:38:17.067
might think that because they're
getting a 300 patient trial.

00:38:17.997 --> 00:38:22.047
I say no to that because
run the 300 patient trial,

00:38:22.227 --> 00:38:23.937
but the 300 doesn't get run.

00:38:23.937 --> 00:38:25.912
The 180 patient trial gets run.

00:38:27.477 --> 00:38:29.247
So that's the challenge of this.

00:38:29.247 --> 00:38:32.457
This is the, the, the
challenge of a regulator.

00:38:32.457 --> 00:38:36.117
And this is, this is, um, this
is not necessarily their fault.

00:38:37.332 --> 00:38:42.132
In thinking about what this alternative
space, and if I were a regulator, I

00:38:42.132 --> 00:38:45.912
might have a different alternative set
of designs that I think could be run.

00:38:46.212 --> 00:38:49.032
And so I say, oh, you should do
the following, but the those are

00:38:49.032 --> 00:38:50.622
never gonna be run potentially.

00:38:50.772 --> 00:38:55.932
And I get something back as a reaction to
this that's worse than the original one.

00:38:56.232 --> 00:38:58.702
And these are the challenges
of the way these are.

00:38:58.897 --> 00:39:00.277
This is particularly done.

00:39:00.847 --> 00:39:03.877
So I think we need to communicate
that better, which is hard, by the

00:39:03.877 --> 00:39:09.607
way, because you can't say, if you
don't take a, we're gonna do C in a

00:39:09.607 --> 00:39:12.757
way that is almost, uh, blackmail ish.

00:39:12.757 --> 00:39:16.897
That, you know, boy, if you don't say
yes to our design, you're gonna get this.

00:39:17.137 --> 00:39:21.067
Uh, you know, and that, that's
really not the way we traditionally

00:39:21.067 --> 00:39:23.197
when we submit a design like that.

00:39:23.857 --> 00:39:28.327
We work really hard to explain
that single design as to what

00:39:28.327 --> 00:39:29.542
you're gonna get as a regulator.

00:39:30.852 --> 00:39:35.262
Now we don't spend a lot of time
comparing to a bunch of other designs.

00:39:35.442 --> 00:39:39.882
It's actually can, can be confusing
to somebody receiving this.

00:39:39.882 --> 00:39:41.502
What, what's the design again?

00:39:42.072 --> 00:39:46.932
But I think we need to do a better
job of that, to understand the breadth

00:39:46.932 --> 00:39:52.872
of the designs that could be run,
not in an aggressive way, and showing

00:39:52.872 --> 00:39:57.972
that this is a, a better design, a
seamless two, three trial designs.

00:39:58.377 --> 00:40:02.217
Better design than a lot of
the alternatives that could

00:40:02.217 --> 00:40:04.287
be run in that scenario.

00:40:04.827 --> 00:40:11.157
And so thi this is really our challenge
as clinical trialists to be able to

00:40:11.157 --> 00:40:16.977
do this in this weird interaction we
have with regulators tied to it is.

00:40:18.047 --> 00:40:23.687
As this draft guidance on ICHE 20 is
going, hoping a bit of that paragraph can

00:40:23.687 --> 00:40:31.532
be massaged and less of a sharp weapon for
moving forward, uh, in clinical trials.

00:40:33.897 --> 00:40:34.737
All right.

00:40:35.217 --> 00:40:41.217
I appreciate you joining me today in
my, my new digs, and yes, I survive

00:40:41.247 --> 00:40:47.307
the travel and in all of that, and
so I appreciate you joining us.

00:40:47.697 --> 00:40:51.567
Until next time, we'll
be here in the interim.