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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: Welcome everybody
back to In The Interim.

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I'm your host, Scott Berry, and I've got
a, a, a wonderful topic today and I was, I

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was chatting with Steve just before we hit
go here on, th- we're episode, I believe

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episode 65 of In The Interim, and I
think, uh, at, you know, spending t- I've

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been doing clinical trials for 27 years.

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If I were to stop tomorrow and
somebody said, "Scott, what was

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your biggest accomplishment?"

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It would be Remap-Cap.

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Remap-Cap to me will be, you know,
one of the incredible things in

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my life, the experience of it.

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It in of itself as a scientific
beast, the impact it's had, the,

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the so many aspects of it, the
friendships that have grown out of it.

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So it's, it's the most impactful and
here we are, episode 65, and this is the

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first episode on the Remap-Cap trial.

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Part of it is it's such a
beast to get your arms around.

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So I, I'll introduce and
we'll, we'll talk about this.

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This is going to be the
origins of the Remap-Cap trial.

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In and of itself is such a cool
story of it, and my guest today

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was there, creation of this.

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Also a very good friend,
uh, uh, of mine, Steve Webb.

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Steve is a professor, uh, is
intensive care specialist and

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a professor of critical care
research at Monash University.

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He's also the executive
director of Empiric, which

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is a whole separate podcast.

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Uh, interestingly, you know I do a lot
of sports things and, and in sports they

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talk about a first ballot Hall of Famer.

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Steve, in 2014, the Australian
government estabuli- established the

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Australian Academy of Health and Medical
Sciences, and he was part of the 14

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fellows that initiated the academy.

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So very well-respected researcher.

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He's, his clinical trials he's
designed have enrolled more than 70,000

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patients, 200 million in funding,
more than 30 papers in The New England

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Journal and JAMA, more than 75,000
references, huge impact on patients.

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He's also one of the global leaders of
the Remap-Cap platform trial and was

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the head of the International Trial
Steering Committee when COVID hit, and

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that'll be a big part of our story.

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So Steve, welcome to In The Interim

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Steve Webb: Thank you very much, Scott.

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It's a, pleasure to be
chatting about The Beast

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Scott: Yes, the beast.

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All right.

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So I was curious going back and, and
remembering this, and I got in a bit of

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a, of, of a rabbit hole, uh, with this
and looking back at all the emails.

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I wanna know, when was the first emailâ¦

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I have all my emails ever from
Berry Consultants, which is, is

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fun, fun things going back to.

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The first email that ever
showed up with Steve Webb on it.

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So I look back, and this was, uh,
March 13th, 2012, is the first email

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where you and I are both on the
email, and it's from Derek Angus.

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It's a follow-up to a Pittsburgh
meeting that is talking

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about potential p- pandemic.

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Sorry, I wasn't there, but, uh,
the aftermath of this came about.

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Do you wanna describe this meeting and
the subsequent meetings and pandemics?

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Steve Webb: So the story of Remap Cap
really starts in the southern hemisphere

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winter of 2009, when the swine flu
pandemic, uh, spread around the world.

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to Australia, New Zealand, other parts
of the southern hemisphere, uh, first,

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and it, it was a decent pandemic.

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Um, uh, in the Royal Perth Intensive
Care Unit, where I was a, a specialist,

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uh, at the peak of the pandemic,
half of the intensive care unit

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was occupied by patients with swine
flu, all of whom were ventilated,

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all of whom, uh, were very sick.

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Um, but, uh, swine flu, um, came and went,
um, uh, uh, over the space, uh, of two

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winters, one southern, one, one northern.

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And, uh, um, the world sort of, um, took
a breath and said, "Well, that was bad,

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but it could have been a lot worse."

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And so a bunch of people got together
from the intensive care world to

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think about how could we be better
prepared for future pandemics.

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Um, in Australia, New Zealand, uh, we did
some observational, um, uh, work, which

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was, uh, quite valuable from a public
health perspective, we had no chance

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of putting together a clinical trial
in the time span that was available.

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A wave would hit, it would last about
eight weeks, um, and you just can't launch

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trials, um, uh, at least, uh, at that
time, over that sort of, uh, timeframe.

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was a, a meeting in 2010 in Toronto,
uh, where Derek Angus, uh, who was

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also, uh, um, one of the, um, together
with you, me, and Roger, probably

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the midwives, uh, of this thing.

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Um, and your dad spoke at it, Scott.

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Um,

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Scott: Yep.

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Yep

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Steve Webb: talked about adaptive platform
trial methods, and it made a lot of sense.

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Although I've got to say, I had to
listen to talks from Don, from you,

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from Roger, at least six times before
I, um, finally thought, "I-- Now

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I understand this, uh, this thing
called an adaptive platform trial."

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Um, and then the 2012 meeting that
you referred to was in Pittsburgh,

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and Roger, uh, Roger Lewis was there.

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Um, and, um, uh, that was really, a
series of meetings about, you know, nine

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months apart, we decided that adaptive
platform trials were the only thing

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that made sense for future pandemics.

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Because they create, um, um, warm
infrastructure can pivot and adapt rapidly

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to whatever is needed for a disease
that can't be predicted in advance.

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Scott: Uh, that, that, that
I think comes to fruition.

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So there's these d- lots of
researchers meeting, ISARIC.

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Uh, John Marshall was at a number
of these meetings, who ends up

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being a, a, a, a very important
player in the REMAP-CAP story.

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And I, I think myâ¦

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I enter this in, uh, on July 2nd, 2012.

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There's an ISARIC meeting
in Annecy, France.

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I believe you were there.

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Yeah.

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So I believe it's probably the
first time we met, uh, in that,

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and I presented on adaptive trials,
and it was the first sort of what

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could this look like in a pandemic.

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There was a two-day working group from
that, and I think from that largely

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grew the pr- grew the PREPARE network

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Steve Webb: Co-correct.

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Herman Goossens, uh, was a, um, very, um,
inspirational and influential infectious

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diseases physician based in Belgium.

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uh, he understood the damage that
pandemics could, uh, do to the world if

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one turned up, and the critical need of
being able to generate evidence rapidly

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about, uh, um, optimal treatment in
a situation where, um, the clinical

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trial, uh, design and infrastructure
needs to be constructed, um, in the

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presence of enormous uncertainty.

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And so Herman, uh, um, uh, um, uh,
proposed, uh, to the European Union

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that there would be a funding call for a
consortium around pandemic preparedness.

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And it was a fantastic program of work.

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There was lots of laboratory science.

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There was stuff about, uh, diagnostics.

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There was stuff about consumer and
community engagement, about how you

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prepare the community for a future
pandemic in terms of the research that

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needs to be, uh, conducted at the time.

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And one of the work packages, uh,
work package five, as I recall,

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was an adaptive platform trial, uh,
for, um, any future, uh, pandemic

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Scott: Uh, yep.

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Uh, and, and that's sort of where, where
I, I sort of really remember starting

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on this, and it was called Prepare.

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And we were talking about at the
time, I think we were talking

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about a platform for antibiotics.

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It, it was relatively generic treatment,
but we, we hadn't jumped into the,

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the, the multifactorial, the huge
aspect, which is really interesting

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part of the pandemic was the abil-
was the factor- multifactorial story

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of that, but we'll get to that.

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But it

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Steve Webb: Yeah, no, I,

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think,

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Scott: it wasâ¦

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Steve Webb: I, I

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Scott: Yeah

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Steve Webb: I think it, I think it
was multifactorial from the get-go.

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But part of, um, uh, the discussion and
the concept at the time that the only way

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to be ready for a, a, a pandemic was to
have that were already recruiting to other

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questions that were-- that are relevant,
uh, to improving patient outcomes.

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and so part of the concept was to
construct this, uh, platform that

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would, uh, do good things, uh, during
the inter-pandemic, uh, period.

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And, uh, um, patients with pandemic
influenza, or as it turned out, pandemic

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COVID, have, um, essentially a diagnosis
of severe acute respiratory illness

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or community-acquired pneumonia.

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so the plan was to construct a platform
that would recruit patients, uh, with

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community-acquired pneumonia, ask
questions that were relevant to improving,

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uh, patient outcomes, because CAP is
a, um, a major driver of, um, um, uh,

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bad outcomes, um, and be able to pivot,
uh, when a pandemic, uh, turned up.

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So having succeeded in getting that grant
call, uh, included within, um, what was

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then the, uh, FP7 scheme, subsequently
has become the Horizon, uh, scheme.

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Um, the, um, uh, um, put together a
really impressive, uh, uh, consortia.

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Um, uh, Derek, myself, you, all
contributed to, uh, the design

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of what was included within work
package fee-- uh, work package five.

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it

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Scott: And

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Steve Webb: uh, I don't know,
it was maybe a page and a half

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in this, uh, massive grant

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Scott: Yeah.

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Steve Webb: And, um, uh, after
the wheels turned inside the

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European Union, e- I can't even
remember exactly what year is it.

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Might have been 2015 or 2016 now.

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grant is, uh, successful, and we're away

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Scott: Yeah, and interestingly, as part
of this story, the federation of this,

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this trial grows into something that has
multiple sponsors globally and a single,

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uh, platform that, that has the federated,
and we, we talk a little bit about that.

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But I found an email in December
of 2013 where you send out that you

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now have funding from the NHMRC,
uh, to extend this to Australia

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and, and what this would look like.

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And this starts a little bit the
federation of what becomes Remap-Cap

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Steve Webb: Yeah.

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So that money was largely used to,
um, uh, pay for the preliminary work

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that was necessary to write a grant
application to the NHMRC, uh, for what

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was called various things back then.

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Uh, it was-- Once upon a time, it
was GACSARI, then it was ADCAP,

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and, uh, then it was OPTIMIZE-CAP.

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but that NHMRC grant application,
uh, uh, was, was successful.

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And the preceding FP7 grant, I think, made
a massive difference to the likelihood of

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success of the Australian grant because
it had already been through peer review

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in another location, though it was a
relatively small part of this big, massive

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pandemic, uh, preparedness consortia.

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But that gave it credibility,
and I think that likely helped,

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uh, get it over the line.

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So that had us funded in two
countries, in, in two regions.

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And

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next to come on board was John Marshall,
who somewhere through that time period

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was successful at getting, uh, it
funded, uh, through the CIHR in Canada.

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And, um, really with Derek's
intercession, um, we settled

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on the name of, uh, REMAP-CAP.

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Uh, uh, De-Derek had had a, um, uh,
a viewpoint article in JAMA through

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that area-- through that era, he
had, um, proposed the term REMAP

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to describe, uh, you know, the, the
generic description of the beast.

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A randomized embedded

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adaptive, uh, platform trial.

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And of course, it was also remapping
the way that clinical trial evidence,

00:14:06.865 --> 00:14:09.015
uh, should be, uh, should be generated.

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Uh, uh, Derek's, uh, uh,
well, he's, he's got-- Uh, uh,

00:14:12.635 --> 00:14:12.715
Scott: Yeah.

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Steve Webb: Derek's, Derek's
not short of marketing ability,

00:14:15.705 --> 00:14:17.065
and it matches his substance.

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Scott: Yeah, yeah, and
a, and a fabulous name.

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So a little bit, you touched
on this a little bit.

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Let's, let's talk about the sort of
scientific structure of this thing

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that was created, which started
enrolling patients, I believe, in 2015.

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The first patient was enrolled in this.

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Uh, uh, so it was '15 or
'16, it was relatively early.

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Uh, it-- we, we weren't, we didn't have a
super mature protocol, and we'll get into

00:14:44.804 --> 00:14:51.195
the, the development of what I think is a
Tolkien-esque document in and of itself.

00:14:51.235 --> 00:14:57.315
But the Prepare solution, you talked
about this, was to start a standing

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master protocol where in the back,
in the backdrop to this, we called

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it a sleeping strata, we would
talk about a potential pandemic.

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So if there was a swine flu,
if there was Pandemic X, we

00:15:13.195 --> 00:15:15.235
could immediately pivot to that.

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But meanwhile, there's a t- a trial
going on, and I believe the first,

00:15:21.755 --> 00:15:27.335
the first therapies being w- used
were five different antibiotics

00:15:28.395 --> 00:15:31.975
as an antibiotic strategy, so a
patient could be randomized to that.

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A question of extending macrolide to
four days or 10 days, so that was a

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second question that a patient could
be randomized at in a factorial way, as

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long as the antibiotic had macrolide.

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Uh, and then was this strange beast,
hydrocortisone, um, uh, which I, I'm so

00:15:53.935 --> 00:15:59.155
fascinated by corticosteroids and do they
work, do they not work, uh, question.

00:15:59.235 --> 00:16:03.485
But, uh, patient-- the question was
should you give patients steroids,

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uh, uh, severe patients, uh, in these?

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Originally, I believe this
was somewhat severe patients.

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This was ICU-based severe patients,
and these were the three questions that

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were enrolling at the launch of this
Prepare trial that migrated in name

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to Remap-Cap in a factorial experiment

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Steve Webb: There was an initial
protocol, um, which, um, to the

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best of my recollection, uh, did
get us, uh, recruiting in a small

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number of locations that didn't
include Australia at that stage.

00:16:41.385 --> 00:16:46.605
But I think it was apparent that, um,
the protocol that had been written

00:16:46.645 --> 00:16:54.905
initially was, um, um, w-was a standalone
master protocol containing everything.

00:16:56.365 --> 00:17:03.005
uh, if one looked as to how this is going
to evolve, adapt, new questions coming

00:17:03.085 --> 00:17:09.865
in, um, there was a feeling that this sort
of, um, single protocol document wasn't

00:17:09.905 --> 00:17:13.385
going to be, uh, effective over time.

00:17:13.405 --> 00:17:19.805
And that led us to the development of the
modular protocol, which, uh, we've used,

00:17:20.245 --> 00:17:22.725
I think, quite successfully ever since.

00:17:22.745 --> 00:17:28.905
And the principle here is to have a
core or master protocol that contains

00:17:28.945 --> 00:17:35.125
the eligibility criteria at platform
level and the primary endpoint that's

00:17:35.145 --> 00:17:40.145
going to be used at platform level
across, uh, all of, uh, the domains.

00:17:40.605 --> 00:17:43.865
Little bit about the disease of
interest in terms of background.

00:17:44.245 --> 00:17:48.825
Quite a bit about the statistical
methods that are going to be used

00:17:48.885 --> 00:17:53.125
in the platform, there's a separate
statistical analysis appendix.

00:17:53.715 --> 00:17:58.385
But nothing about the, uh,
interventions that are going to be

00:17:58.425 --> 00:18:00.825
evaluated, uh, within the platform.

00:18:01.485 --> 00:18:03.845
So we had to invent a word.

00:18:04.065 --> 00:18:09.485
We invented the word domain to
describe sets of mutually exclusive,

00:18:09.705 --> 00:18:14.885
uh, interventions that would
be, um, uh, represent the, um,

00:18:14.925 --> 00:18:21.805
comparisons that, uh, existed, around
specific, uh, um, modes of therapy.

00:18:22.625 --> 00:18:27.885
And the protocol has this structure
of a master protocol onto which are

00:18:28.065 --> 00:18:34.385
bolted, multiple domain-specific
appendices, and they contain the

00:18:34.425 --> 00:18:38.384
information about, uh, the background
information about why that's a relevant

00:18:38.485 --> 00:18:42.585
question and the, uh, appropriateness
of the interventions and what's known.

00:18:44.525 --> 00:18:51.565
domain-specific eligibility, uh, criteria,
appropriate, domain-specific secondary

00:18:51.645 --> 00:18:58.045
endpoints, my favorite section of every
REMAP-CAP protocol, the statistical, uh,

00:18:58.125 --> 00:19:03.954
approach to this particular domain, which
is like selecting from a menu that is

00:19:04.005 --> 00:19:09.485
set out in the master protocol, in the
core protocol, about what statistical

00:19:09.485 --> 00:19:15.785
triggers, what combination of states and
strata apply to, uh, the, to this domain.

00:19:16.808 --> 00:19:22.788
Um, so, um, uh, that modular protocol
structure I think has been a critically

00:19:22.868 --> 00:19:28.288
important part of the success of
REMAP-CAP, it was a substantial advance,

00:19:28.709 --> 00:19:33.549
and it proved its worth in the pandemic,
where with this modular structure,

00:19:34.368 --> 00:19:38.908
could write a new domain-specific
appendix, do the associated data

00:19:38.969 --> 00:19:43.249
management changes, and have a new
domain running in three or four weeks

00:19:45.051 --> 00:19:49.431
Scott: Yeah, I'm, yeah, so, uh, it,
we- we'll get to the pandemic, but

00:19:49.531 --> 00:19:54.331
I agree with you that the previous
document wasn't ready for that.

00:19:54.851 --> 00:19:58.951
And I remember we had this sequence,
there were a number of players involved.

00:19:58.991 --> 00:20:02.691
Colin McArthur was involved,
Alastair w- was involved.

00:20:02.731 --> 00:20:07.891
But it was a sequence of about
a, a three weeks to a month

00:20:07.931 --> 00:20:11.121
where you, Derek, and I wereâ¦

00:20:11.151 --> 00:20:14.611
It was morning in the
US, it was your evening.

00:20:14.651 --> 00:20:18.631
Derek and I would have coffee, and
you would have a glass of wine next

00:20:18.671 --> 00:20:20.091
to you, and we'd be working on it.

00:20:20.671 --> 00:20:24.751
The- then all of a sudden, you'd wake up
the next morning, and it would be night,

00:20:24.791 --> 00:20:28.891
and Derek has a nice big, uh, glass
of wine, and you've got your coffee.

00:20:28.951 --> 00:20:32.941
And it was morning and night, and
morning and night writing this.

00:20:32.971 --> 00:20:36.391
And I refer to it almost as
Tolkien-esque because Tolkien, when

00:20:36.411 --> 00:20:40.631
he wrote The Lord of the Rings and
all this, he invented languages for

00:20:40.731 --> 00:20:46.471
the Elvish, he invented songs, and we
had to invent all this terminology.

00:20:46.551 --> 00:20:49.970
What, what works for this
description of a common set of

00:20:50.011 --> 00:20:51.641
interventions being compared?

00:20:52.351 --> 00:20:57.231
And you can't reuse a word that means
something else in clinical trials because

00:20:57.271 --> 00:20:59.331
then everybody confuses what you're doing.

00:20:59.361 --> 00:21:05.111
And we spent a huge amount of this
inventing terminology that allowed this

00:21:05.331 --> 00:21:10.511
modular thing, that you had to build this
entire protocol infrastructure so that

00:21:10.591 --> 00:21:16.491
you could plug in a DSA and remove it,
and the protocol doesn't change at all.

00:21:17.071 --> 00:21:21.491
I, I mean, it's built that you plug it
and pull it out, and it functions, and

00:21:21.571 --> 00:21:26.711
as you say, incredibly quickly we're ans-
we're, we're addressing that question.

00:21:27.201 --> 00:21:28.651
Uh, it's part of the database.

00:21:28.991 --> 00:21:34.531
And so the, the master protocol
itself is this amazing thing that has

00:21:34.591 --> 00:21:39.611
come out of Remap-Cap that, by the
way, many people have used, copied,

00:21:39.811 --> 00:21:42.701
which is fantastic, modeled after.

00:21:42.771 --> 00:21:47.811
It in and of itself is an incredible
sort of scientific achieve- achievement

00:21:49.500 --> 00:21:53.000
Steve Webb: Um, and, um, uh, I've spent
a lot of time in the last couple of

00:21:53.080 --> 00:21:59.960
years, talking to clinicians or even
clinical trialists who've got experience

00:22:00.080 --> 00:22:05.320
with conventional clinical trial designs
about adaptive platform trials, and

00:22:05.360 --> 00:22:10.860
it's the concept of the domain, which
is one of the most difficult concepts

00:22:10.940 --> 00:22:15.680
to try and articulate and explain
in a way that, uh, people get it.

00:22:16.020 --> 00:22:20.721
But I've got a new technique which is
working really well, which is that I

00:22:20.801 --> 00:22:25.600
tell them, if the goal of the platform
trial is to try and design the best

00:22:25.660 --> 00:22:32.421
possible Big Mac, then what you have is
the components of the Big Mac as domains.

00:22:32.760 --> 00:22:36.401
So there's a pickle domain,
yes or no for pickles.

00:22:36.700 --> 00:22:38.780
There's a beef patty domain.

00:22:38.940 --> 00:22:41.400
Do- is it flame grilled or fried?

00:22:41.520 --> 00:22:46.360
Um, and, uh, people suddenly get
the idea of what a domain is.

00:22:46.401 --> 00:22:48.940
But we had to go to a
Big Mac to make progress.

00:22:50.362 --> 00:22:57.263
Scott: And we then had to name the Big Mac
is when you get all of the pieces of the

00:22:57.342 --> 00:22:59.442
domain that work, what do we call that?

00:22:59.502 --> 00:23:00.683
And we called that a regimen.

00:23:01.282 --> 00:23:04.902
So each piece together, the Big
Mac itself is another regimen.

00:23:05.263 --> 00:23:08.342
We, we have patient subgroups
where there may be differential

00:23:08.502 --> 00:23:11.882
effect, and so we named this and
named all these pieces to it.

00:23:12.622 --> 00:23:15.042
S- so we went through this amazing thing.

00:23:15.103 --> 00:23:16.662
We set up the statistics.

00:23:16.742 --> 00:23:18.582
We, we talked about it.

00:23:18.642 --> 00:23:23.402
We set up response adaptive randomization
can be done within the trial.

00:23:23.502 --> 00:23:26.262
We set up the entire thing as Bayesian.

00:23:26.842 --> 00:23:30.862
Uh, and interestingly, a foreshadowing
of, of medical papers that come

00:23:30.943 --> 00:23:33.002
out of this have zero P values.

00:23:33.582 --> 00:23:36.402
All Bayesian triggers in all of this.

00:23:36.802 --> 00:23:41.882
So this is kind of all set up, and as
you d-- as you, as you've said, when

00:23:41.943 --> 00:23:46.382
we had meetings maybe two thousand
seventeen, everybody would come together.

00:23:46.422 --> 00:23:52.002
We've got this new protocol, um,
uh, in this Genevieve O'Neill, who's

00:23:52.062 --> 00:23:53.802
not working on Remap CAP anymore.

00:23:53.882 --> 00:23:57.002
She was on every one of these
calls, I think, in, in making

00:23:57.042 --> 00:23:59.263
this go forward from Australia.

00:23:59.682 --> 00:24:03.882
But that we had more investigators
than patients at the time.

00:24:04.562 --> 00:24:07.862
Uh, we're enrolling CAP, and then

00:24:08.200 --> 00:24:11.500
Steve Webb: there, there, there, there
was celebrations, there were fireworks,

00:24:11.601 --> 00:24:15.401
uh, there was champagne popping
when we finally had more patients

00:24:15.460 --> 00:24:17.360
enrolled than we had investigators

00:24:18.206 --> 00:24:18.386
Scott: Yeah.

00:24:19.086 --> 00:24:23.566
And by the way, we still, uh,
after the pandemic's over, we're

00:24:23.626 --> 00:24:25.407
back to this question of CAP.

00:24:25.726 --> 00:24:29.007
These patients are absolutely
informing conclusions, and we've

00:24:29.046 --> 00:24:30.986
got exciting conclusions within CAP.

00:24:31.046 --> 00:24:39.507
But meanwhile, um, a, a-- this Wuhan
disease comes up, and it was interesting

00:24:39.606 --> 00:24:45.306
looking back at the, the genesis
of this from early 2020 in January.

00:24:45.366 --> 00:24:52.767
There's this weird thing going on until
March when it became part of REMAP-CAP

00:24:54.644 --> 00:24:58.724
Steve Webb: So one of my favorite
emails from, uh, Remap, uh, Scott,

00:24:58.904 --> 00:25:05.304
is the one I sent to, um, Green,
who is the extraordinary, amazing

00:25:05.405 --> 00:25:10.964
project manager that, um, uh, carried
Remap CAP through the pandemic.

00:25:11.464 --> 00:25:18.504
Uh, Cameron sends me, um, news links
to this new disease in Wuhan, and he

00:25:18.584 --> 00:25:24.944
copies, uh, it to Colin MacArthur, and,
uh, Cameron says, uh, "Do you think,

00:25:25.024 --> 00:25:30.445
uh, we need to be, uh, worried about
what's happening in, uh, in, in Wuhan?"

00:25:31.105 --> 00:25:36.504
Um, and, um, uh, my response to Cam
is, "Oh, you know, Cam, in the last

00:25:36.544 --> 00:25:40.584
couple of years there have been
these sort of little mini outbreaks.

00:25:40.624 --> 00:25:44.944
They, um, uh, cause a little bit
of excitement and then they, uh,

00:25:45.124 --> 00:25:47.364
disappear, uh, reasonably quickly.

00:25:47.864 --> 00:25:51.304
That's what I expect will
happen, uh, to this one.

00:25:52.364 --> 00:25:56.724
besides, um, no pandemic in 2020 please.

00:25:56.745 --> 00:25:58.605
We're close but we're not ready."

00:25:59.962 --> 00:26:00.943
Scott: Yes, yes.

00:26:01.522 --> 00:26:04.782
I, I, amazingly, we've said many
times, "Oh, we would've been so

00:26:04.842 --> 00:26:09.602
much better off if it was COVID,
uh, 20, uh, or one year later."

00:26:09.922 --> 00:26:14.862
Now, we were never gonna be ready for what
it was, uh, and it was going to be around

00:26:14.902 --> 00:26:18.362
the clock, but, but it was, uh, it wasâ¦

00:26:18.823 --> 00:26:18.902
I- Iâ¦

00:26:19.043 --> 00:26:19.742
And then it hit.

00:26:19.803 --> 00:26:24.842
And one of my other favorite emails was,
uh, right about that time, we were now

00:26:24.982 --> 00:26:26.862
starting to get ready to run this trial.

00:26:26.963 --> 00:26:28.742
We had enrolled a set of patients.

00:26:28.782 --> 00:26:30.602
We were talking about doing analyses.

00:26:31.222 --> 00:26:34.922
Um, and I think we had done several
analyses up until this point.

00:26:35.282 --> 00:26:40.002
So I brought on two statisticians
to help me, uh, Lindsey Berry and

00:26:40.122 --> 00:26:42.063
Elizabeth Lorenzi, Liz Lorenzi.

00:26:42.642 --> 00:26:46.862
And, um, they have this email
of saying, "Yeah, we've got

00:26:46.903 --> 00:26:50.442
this little thing in Wuhan, but,
you know, don't worry about it.

00:26:50.522 --> 00:26:52.522
Um, uh, it's not a big deal."

00:26:52.563 --> 00:26:55.962
And they look back at this, and
now they've, they've been heroic in

00:26:56.022 --> 00:26:59.922
the, the analyses that have happened
within Remap Cap as well, and this

00:26:59.962 --> 00:27:04.682
has now become, uh, uh, an amazing
story of their involvement as well.

00:27:05.862 --> 00:27:07.122
Okay, there's an i-

00:27:07.132 --> 00:27:09.912
Steve Webb: don't know what-- I, I don't
know how much you want to talk about the

00:27:09.972 --> 00:27:14.953
pandemic, but, um, I think it's worth
just w- at least one anecdote, uh, Scott.

00:27:15.372 --> 00:27:21.032
The, the speed with which the platform
was able to do things was extraordinary.

00:27:21.512 --> 00:27:25.452
We talked about being able to launch
a new domain in three or four weeks.

00:27:26.612 --> 00:27:30.892
although there were times during the
pandemic when even that felt too slow.

00:27:31.292 --> 00:27:31.452
But

00:27:31.902 --> 00:27:32.042
Scott: Yeah.

00:27:32.062 --> 00:27:32.642
Yeah

00:27:32.892 --> 00:27:36.692
Steve Webb: able to launch a new trial
for, for, um, a condition that's never

00:27:36.752 --> 00:27:41.632
existed for, um, interventions, for new
set of interventions in three or four

00:27:41.692 --> 00:27:45.093
weeks was, was, um, uh, was unprecedented.

00:27:45.132 --> 00:27:51.073
But, um, we had this
result in November of 2020

00:27:51.098 --> 00:27:51.638
Scott: no, let's hang on.

00:27:51.738 --> 00:27:54.018
Let's not, l- let, let's sort
of set this up a little bit.

00:27:54.058 --> 00:27:56.718
I do wanna shift completely
to the pandemic now, so let,

00:27:56.818 --> 00:27:57.878
let's talk about the pandemic.

00:27:57.938 --> 00:28:02.438
Let's talk about the, the start of it,
and I've got an email from you, you're the

00:28:02.599 --> 00:28:10.298
chair of the ITSC, where you met with, uh,
uh, groups, uh, monitoring the pandemic.

00:28:10.998 --> 00:28:15.179
There are patients starting to
trickle in at sites where Remap-Cap

00:28:15.298 --> 00:28:22.879
is a trial there, and I've got it on
March 2nd, 2020, that you declare,

00:28:23.059 --> 00:28:24.998
"We are open for the pandemic,"

00:28:26.609 --> 00:28:27.029
Steve Webb: We had

00:28:27.179 --> 00:28:27.899
Scott: at this time

00:28:29.068 --> 00:28:32.969
Steve Webb: we had a sleeping strata
was in the first version of the

00:28:33.088 --> 00:28:39.528
modular protocol, and the question
to the ITSC was should we activate,

00:28:39.628 --> 00:28:42.208
uh, this, uh, sleeping, uh, strata?

00:28:43.188 --> 00:28:48.988
there was a, um, a unanimity
within the ITSC that that was

00:28:49.128 --> 00:28:50.609
exactly what we needed to do

00:28:53.830 --> 00:28:57.950
Scott: So now this trial that had been
built, been, as you described, all the way

00:28:57.990 --> 00:29:03.251
back in 2009, uh, I'm, I'm sure pandemic
preparedness has gone back further than

00:29:03.251 --> 00:29:07.570
that, but this whole idea of a platform
trial being generated from that, getting

00:29:07.751 --> 00:29:12.570
funded by the EU, moving on to the
different Australia thing, this idea,

00:29:12.751 --> 00:29:17.710
all of a sudden, March 2nd, 2020, the
trial is now enrolling in the pandemic.

00:29:17.730 --> 00:29:20.591
So we've avoided this whole
issue of, okay, now we have to

00:29:20.650 --> 00:29:22.830
design a trial for this question.

00:29:22.890 --> 00:29:23.570
We're already enrolling.

00:29:23.690 --> 00:29:25.650
By the way, we have
patients coming into this.

00:29:26.350 --> 00:29:29.730
And so the things that were
already in the trial, some of

00:29:29.791 --> 00:29:31.950
these shift over into COVID.

00:29:32.431 --> 00:29:33.910
Uh, all three of them shift over.

00:29:33.931 --> 00:29:37.970
I think antibiotics became a not very
interesting question within them, but

00:29:38.070 --> 00:29:39.930
macrolides became very interesting.

00:29:40.010 --> 00:29:43.470
Steroids became s- s- very interesting.

00:29:44.091 --> 00:29:49.050
Now, this is the part that you
sort of touched on, is now the

00:29:49.130 --> 00:29:54.930
ability within the modular approach
to start to add questions to it.

00:29:54.990 --> 00:29:56.751
So now we're open for business.

00:29:56.810 --> 00:30:02.470
We already have therapies we're, we're,
we're interested in, we're shifted.

00:30:02.910 --> 00:30:04.910
Now, what does this process look like?

00:30:06.685 --> 00:30:14.325
Steve Webb: So the ITSC establishes, um,
processes to consider what interventions

00:30:15.085 --> 00:30:17.785
we evaluate in this, uh, new disease.

00:30:18.485 --> 00:30:23.945
We're learning about this news-- new
disease in a very, uh, ad hoc way.

00:30:25.285 --> 00:30:30.865
um, um, uh, uh, my recollection,
um, quite a bit in the p- in the,

00:30:30.985 --> 00:30:35.745
in the general media about all of
these patients ending up in ICUs on

00:30:35.785 --> 00:30:41.655
ventilators, of, um, arterial and venous
thromboembolic, uh, complications.

00:30:42.085 --> 00:30:47.965
There's actually relatively little
published, even in terms of, um, uh, case

00:30:48.045 --> 00:30:51.034
reports and, uh, cohort, uh, studies.

00:30:51.665 --> 00:30:55.765
Um, uh, a-and so we have to
start making decisions about

00:30:55.805 --> 00:30:57.225
what's going to be evaluated.

00:30:57.945 --> 00:31:01.225
Um, we have an existing
corticosteroid do-domain, which

00:31:01.305 --> 00:31:03.644
includes, uh, hydrocortisone.

00:31:04.105 --> 00:31:09.195
We make some modifications to
that domain, including, um, a d- a

00:31:09.365 --> 00:31:11.825
different dose of, uh, hydrocortisone.

00:31:12.485 --> 00:31:19.225
And we actually managed to recruit the
first COVID patient into a COVID-specific

00:31:19.325 --> 00:31:25.765
domain for corticosteroids, I think
on March the 6th, which is before the

00:31:25.985 --> 00:31:29.305
WHO officially declared a pandemic.

00:31:29.925 --> 00:31:36.905
So that I think reflects the, uh, the
flexibility that the adaptive platform

00:31:37.005 --> 00:31:40.285
trial provided in this, uh, scenario.

00:31:40.325 --> 00:31:44.315
But we think about what else
should be evaluated, relatively

00:31:44.365 --> 00:31:49.625
quickly, we put together domains to
evaluate, um, uh, drugs which are

00:31:49.785 --> 00:31:54.865
thought to have antiviral activity
against the, the SARS-CoV-2 virus.

00:31:55.485 --> 00:31:59.965
Um, there's a domain proposed,
uh, that, uh, comprises, uh,

00:32:00.125 --> 00:32:01.485
different immune modulators.

00:32:02.305 --> 00:32:08.665
interleukin-6 receptor antagonists like
tocilizumab, uh, anakinra, uh, interferon.

00:32:09.785 --> 00:32:13.625
there's also a question of whether
or not patients should be routinely

00:32:13.745 --> 00:32:18.604
therapeutically anticoagulated, uh,
with heparin, and that had, um, um,

00:32:18.905 --> 00:32:26.225
entered practice just seen as being, um,
appropriate to prevent arterial and venous

00:32:26.245 --> 00:32:30.545
thromboembolism, given the high incidence
that was, uh, was being observed.

00:32:31.705 --> 00:32:31.965
Sorry.

00:32:32.065 --> 00:32:32.545
Excuse me.

00:32:33.865 --> 00:32:36.865
Um, um, uh, there's

00:32:36.925 --> 00:32:37.165
also

00:32:37.210 --> 00:32:37.571
Scott: so let's

00:32:37.725 --> 00:32:37.795
Steve Webb: of

00:32:37.910 --> 00:32:39.070
Scott: let's set time to this.

00:32:39.151 --> 00:32:47.150
I believe, so March 2nd, uh, uh, REMAP-CAP
says we're now enrolling patients

00:32:47.490 --> 00:32:50.070
COVID, suspected or proven COVID.

00:32:50.590 --> 00:32:54.471
March 6th, four days later, you're
randomizing to something that

00:32:54.530 --> 00:32:55.890
was already there, the steroids.

00:32:56.791 --> 00:33:01.530
Added the, uh, immune modulation
domain before the end of March.

00:33:02.310 --> 00:33:06.170
The convalescent plasma domain,
I think, was added in April.

00:33:06.690 --> 00:33:12.250
Anticoagulation, as you described,
is early May, uh, within that.

00:33:12.550 --> 00:33:15.971
So I believe this, this idea that you
said every couple weeks we're adding

00:33:16.010 --> 00:33:20.131
them, and to some extent that felt
slow, but we're doing this and adding

00:33:20.210 --> 00:33:25.831
those, uh, before just as May starts,
we've added all these particular

00:33:25.890 --> 00:33:28.430
questions in a multifactorial thing.

00:33:28.451 --> 00:33:32.250
So some patients are being
randomized to four and five

00:33:32.410 --> 00:33:35.410
questions at this point, which is

00:33:35.444 --> 00:33:36.145
Steve Webb: Y-y-yes, I think that,

00:33:36.291 --> 00:33:36.830
Scott: just, amazing

00:33:37.904 --> 00:33:41.324
Steve Webb: I think at the height
of the pandemic, um, um, the,

00:33:41.545 --> 00:33:46.345
the, the largest number of, um,
interventions that were assigned to

00:33:46.404 --> 00:33:48.965
a patient in Remap-Cap was seven.

00:33:50.162 --> 00:33:51.322
Scott: Mm-hmm.

00:33:51.322 --> 00:33:51.463
Mm-hmm.

00:33:51.565 --> 00:33:54.564
Steve Webb: that's m-m-that's
multi-multi-factorial

00:33:55.298 --> 00:33:55.718
Scott: Yeah.

00:33:55.798 --> 00:33:56.518
Yes, yes.

00:33:57.758 --> 00:34:02.398
Okay, so now it's we're, we're,
we're, we're getting set up.

00:34:02.459 --> 00:34:06.059
And meanwhile, uh, as you
describe, it would've been nice

00:34:06.118 --> 00:34:07.358
had this been another year.

00:34:07.798 --> 00:34:09.798
We're getting the
operational part of this.

00:34:09.938 --> 00:34:13.478
We have multiple databases
that are contributing to this.

00:34:13.958 --> 00:34:18.419
We want to be doing interim analyses
very frequently in this trial.

00:34:18.478 --> 00:34:24.198
So it is a great deal of work by a,
a, a huge number of people to get

00:34:24.259 --> 00:34:27.638
this ready to start doing analyses.

00:34:27.699 --> 00:34:29.558
And then mid-June happens.

00:34:29.798 --> 00:34:29.938
Yep

00:34:30.504 --> 00:34:38.024
Steve Webb: many, many, many people
literally working 14, 16-hour days,

00:34:38.524 --> 00:34:40.884
seven days a week across many countries.

00:34:41.505 --> 00:34:41.625
Um,

00:34:42.254 --> 00:34:42.274
Scott: ãã

00:34:42.424 --> 00:34:47.425
Steve Webb: Green, um, Colin, uh,
the, the, uh, Lisa Higgins, who was

00:34:47.464 --> 00:34:52.005
putting the data together at Monash
at that stage, the teams at Berry

00:34:54.194 --> 00:34:54.374
Scott: Yep.

00:34:54.794 --> 00:34:54.995
Yep.

00:34:55.554 --> 00:34:59.955
Uh, the UK enrolling patients,
Tony Gordon, Lenny Deirdre,

00:35:00.180 --> 00:35:00.501
Steve Webb: Yes

00:35:00.754 --> 00:35:02.434
Scott: all of this, uh, amazing.

00:35:02.974 --> 00:35:08.134
So mid-June happens where, uh,
we've done interim analyses, but

00:35:08.274 --> 00:35:09.854
nothing is triggered at this point.

00:35:09.935 --> 00:35:11.255
We've got triggers set up.

00:35:11.854 --> 00:35:16.415
Mid-June, the RECOVERY trial, which
by the way, in and of itself is an

00:35:16.534 --> 00:35:19.434
amazing story of the RECOVERY trial.

00:35:20.014 --> 00:35:23.094
We're-- REMAP-CAP's
largely enrolling severe.

00:35:23.194 --> 00:35:28.854
Meanwhile, we, during I think July,
we open what's called a moderate

00:35:28.954 --> 00:35:31.094
state, uh, a step different.

00:35:31.214 --> 00:35:36.734
So we're adding to the patient
population in a modular way as well,

00:35:36.855 --> 00:35:40.855
but we're enrolling only severe
at this point, defined as being on

00:35:40.914 --> 00:35:44.354
intensive care-based organ support.

00:35:44.995 --> 00:35:48.094
Uh, and we went through a whole bunch
of things at this point is what is

00:35:48.154 --> 00:35:53.754
the definition of an ICU, uh, because
people are using non-ICU things, and

00:35:53.794 --> 00:35:59.254
we, we had to lose the notion of what,
whether you're located in an ICU or

00:35:59.314 --> 00:36:01.534
do you have I- uh, ICU-level care.

00:36:01.895 --> 00:36:06.314
So there were things we had to redefine
because of the surges and all of that.

00:36:06.355 --> 00:36:09.854
But the RECOVERY trial comes
out with an announcement based

00:36:09.934 --> 00:36:15.014
largely on moderate patients that
steroids are, uh, saving lives.

00:36:15.154 --> 00:36:21.154
And so REMAP-CAP is enrolling steroids
largely in a severe population.

00:36:21.234 --> 00:36:24.274
So REMAP-CAP does what at this point?

00:36:25.785 --> 00:36:28.405
Steve Webb: Um, so I just want
to, uh, uh, comment about, uh,

00:36:28.442 --> 00:36:28.623
Scott: Yep

00:36:28.705 --> 00:36:30.555
Steve Webb: amazing trial Recovery was.

00:36:30.605 --> 00:36:33.365
It was put together
incredibly, uh, quickly.

00:36:34.145 --> 00:36:37.945
It, it was in some ways also an
offshoot of the same group of people

00:36:37.965 --> 00:36:43.625
who'd been working on, um, um, uh,
Prepare, uh, with, with, with Herman,

00:36:43.925 --> 00:36:48.705
uh, Herman Goosens, and as you said,
was predominantly focusing on, um,

00:36:48.875 --> 00:36:53.625
uh, ward patients, whereas Remap-Cap
was exclusively, at least initially,

00:36:54.945 --> 00:36:56.785
uh, uh, critically ill patients.

00:36:57.545 --> 00:37:04.295
So, as soon as the Recovery result,
uh, um, uh, comes out, the, um,

00:37:04.545 --> 00:37:09.685
corticosteroid component of Remap-Cap,
uh, in patients with COVID, um, uh,

00:37:09.945 --> 00:37:15.185
ceases recruitment, and we start
this huge amount of work to try and

00:37:15.305 --> 00:37:18.705
get, uh, our results, um, analyzed.

00:37:18.825 --> 00:37:24.325
Um, only really-- O-one thing that all
clinical trialists, um, um, intuitively,

00:37:24.605 --> 00:37:32.645
um, know deep in their bones um, there is
nothing better when your trial has, um,

00:37:32.655 --> 00:37:40.065
uh, reached a certain conclusion, another
trial reach the same, uh, conclusion.

00:37:40.385 --> 00:37:44.585
Your anxiety levels drop,
uh, um, uh, enormously.

00:37:45.245 --> 00:37:50.925
Um, so, um, the WHO put together a
process to try and do an individual

00:37:51.005 --> 00:37:55.625
patient meta-analysis across five
or six trials that had been, uh,

00:37:55.745 --> 00:37:58.065
recruiting patients, uh, to steroids.

00:37:58.765 --> 00:38:02.285
And, um, that all happened,
uh, at light speed.

00:38:02.755 --> 00:38:09.145
Um, the Recovery result, um, was, um,
uh, released, um, uh, changed global

00:38:09.265 --> 00:38:12.225
practice instantly, um, in June.

00:38:13.105 --> 00:38:17.805
there was a, a manuscript, I think,
um, I'm not sure precisely when it was

00:38:17.885 --> 00:38:25.345
through, uh, July or August, and but
it was September when, um, the WHO,

00:38:25.785 --> 00:38:31.465
um, IPDMA was published together with
the primary manuscript of these other

00:38:31.485 --> 00:38:34.085
steroid trials, including Remap-Cap.

00:38:34.505 --> 00:38:39.125
And, um, uh, the Remap-Cap results
were strongly supportive of the result

00:38:39.185 --> 00:38:43.585
that had come from, uh, Recovery, uh,
with five or six hundred patients.

00:38:43.885 --> 00:38:47.805
Uh, my recollection, we were
sitting on a, uh, uh, posterior

00:38:47.885 --> 00:38:52.785
probability of ninety-three percent,
uh, superiority for hydrocortisone

00:38:52.905 --> 00:38:55.025
over, uh, no hydrocortisone.

00:38:56.045 --> 00:38:59.785
we wouldn't have been too far away
from, uh, triggering with some,

00:38:59.885 --> 00:39:04.085
uh, additional recruitment, but it
provided strong supportive evidence of

00:39:04.145 --> 00:39:10.125
the benefit of this cheap, available
treatment for this dreadful disease.

00:39:11.782 --> 00:39:15.622
Scott: Um, uh, it was another
really neat thing of the Bayesian

00:39:15.742 --> 00:39:21.203
approach that at that time we
stopped because care had changed.

00:39:21.242 --> 00:39:22.862
We couldn't give a control anymore.

00:39:23.402 --> 00:39:28.442
And so we got to read this out, and it
was this 93% probability of superiority.

00:39:28.842 --> 00:39:34.982
It wasn't that we're non-significant,
it was the, the-- in the paper, we

00:39:35.043 --> 00:39:37.242
didn't need adjectives, moderate.

00:39:37.302 --> 00:39:43.022
It was there's a 93% probability this
is beneficial, uh, which was such a

00:39:43.082 --> 00:39:47.962
cool part and a simple thing and such
a straightforward scientific thing

00:39:48.102 --> 00:39:52.142
about a clinical trial that was, was
a positive of the Bayesian thing.

00:39:52.992 --> 00:39:53.812
Steve Webb: We, we, uh, Scott,

00:39:53.922 --> 00:39:54.223
Scott: Now,

00:39:54.292 --> 00:39:54.452
Steve Webb: two

00:39:54.582 --> 00:39:54.703
Scott: yeah

00:39:55.013 --> 00:39:57.173
Steve Webb: we, we need,
we need two T-shirts.

00:39:57.273 --> 00:40:00.452
One is, "This is a p-value-free
zone," and the other is,

00:40:00.474 --> 00:40:00.954
Scott: Yes

00:40:01.212 --> 00:40:03.212
Steve Webb: treatment, we
estimate treatment effect."

00:40:04.950 --> 00:40:05.710
Scott: Yes.

00:40:06.030 --> 00:40:10.091
Oh, I thought you were gonna go to the
T-shirt that you wore much of 2020,

00:40:10.750 --> 00:40:13.091
um, that I, I will always remember.

00:40:13.551 --> 00:40:16.131
Uh, it had a picture,
it was emoticon-based.

00:40:16.190 --> 00:40:21.811
It had a picture of a magnet and
then a pile of, uh, shit next to

00:40:21.870 --> 00:40:25.971
it, uh, which was, which was quite
apropos for what was going on, yes.

00:40:26.910 --> 00:40:27.811
Um, okay.

00:40:28.170 --> 00:40:31.910
So at that time then, Remap
Cap adds the moderate state.

00:40:32.710 --> 00:40:39.311
It, um, it's now triggering a number
of conclusions, uh, and we'll get to

00:40:39.370 --> 00:40:41.310
some really important ones of those.

00:40:41.671 --> 00:40:47.131
But it's also, um, cooperating
with other platform trials in a

00:40:47.290 --> 00:40:49.670
multi-platform randomized trial.

00:40:49.790 --> 00:40:55.850
So it's working with Operation Warp
Speed, um, and the trials, it's working

00:40:55.930 --> 00:41:01.510
with a Canadian one where we all pool
our data together to have a single

00:41:01.550 --> 00:41:05.630
conclusion and, and a result, and
we create a new thing for a trial.

00:41:06.450 --> 00:41:12.110
Uh, and then we open up a new
domain, simvastatin is a- open,

00:41:12.230 --> 00:41:14.850
antiplatelet domain is opened.

00:41:14.950 --> 00:41:20.390
Um, and then we start coming in
with really interesting conclusions

00:41:20.470 --> 00:41:23.550
at the end of 2020 into early 2021

00:41:24.753 --> 00:41:25.092
Steve Webb: Yeah.

00:41:25.233 --> 00:41:32.492
So, uh, um, one of those triggered
on Christmas Eve, Scott, and

00:41:32.666 --> 00:41:32.886
Scott: Yep

00:41:33.073 --> 00:41:37.533
Steve Webb: of us worked all the
way through Christmas Day, doing

00:41:37.573 --> 00:41:39.212
the things that were necessary.

00:41:39.672 --> 00:41:41.312
I thi- I, I, I, Iâ¦

00:41:41.533 --> 00:41:44.633
That was one of the anticoagulation
results, but I can't remember,

00:41:44.713 --> 00:41:48.793
uh, which one it was that, uh,
triggered on, uh, December 24

00:41:48.898 --> 00:41:53.518
Scott: one was the, um,
uh, likely harm of severe.

00:41:54.388 --> 00:41:54.608
Steve Webb: Yep.

00:41:55.088 --> 00:41:55.248
Yep.

00:41:55.459 --> 00:41:56.138
Scott: yep, yep

00:41:56.509 --> 00:41:59.888
Steve Webb: But before, but before
that we'd had, um, again, a f- a,

00:41:59.908 --> 00:42:06.328
a, a c- a, a flurry of activity in
about mid-November we'd triggered

00:42:06.548 --> 00:42:13.138
for the, um, superiority of, uh, uh,
tocilizumab, an interleukin-6 receptor

00:42:13.138 --> 00:42:16.858
antagonist, compared to, uh, control.

00:42:17.448 --> 00:42:21.388
And I think the timeline is
something like as follows.

00:42:22.468 --> 00:42:27.848
A week after, or it might have been,
uh, 10 days after the statistical

00:42:27.928 --> 00:42:34.489
trigger, the then British Prime
Minister, Boris Johnson, announces

00:42:34.489 --> 00:42:39.528
this result, uh, in a press release,
uh, or in, in a press conference.

00:42:40.309 --> 00:42:44.588
Um, the following day, the
treatment becomes standard care

00:42:44.628 --> 00:42:48.308
throughout the National Health
Service, uh, in the United Kingdom.

00:42:49.568 --> 00:42:52.108
Uh, it's, it's, it's mid-November.

00:42:52.448 --> 00:42:54.968
Well, no, uh, uh, sorry,
it's late, late November.

00:42:55.908 --> 00:42:56.508
We got thatâ¦

00:42:56.649 --> 00:42:59.248
I don't know what date we got
that manuscript to the New

00:42:59.309 --> 00:43:00.648
England Journal of Medicine.

00:43:01.608 --> 00:43:04.748
Uh, it, it-- I don't know if it
was in December or January, but it

00:43:04.768 --> 00:43:07.008
was published in early February.

00:43:07.048 --> 00:43:13.088
We're talking about eight or nine weeks
from statistical trigger to manuscript

00:43:13.148 --> 00:43:17.928
that's been through peer review, it's
had revisions done, and it's published.

00:43:18.748 --> 00:43:24.168
Uh, uh, it, it, the, it is, it is light
speed in the world of clinical trials

00:43:26.811 --> 00:43:32.371
Scott: Yeah, uh, a- and likely
saved tens of thousands of lives.

00:43:32.471 --> 00:43:35.351
Uh, uh, incredible therapy, uh, in it.

00:43:35.431 --> 00:43:38.131
It, it, it's amazing now the spreadâ¦

00:43:38.411 --> 00:43:43.671
Oh, so t- touching on, so tocilizumab
comes out, um, within that.

00:43:43.711 --> 00:43:47.471
The anticoagulation being
harmful in severe, beneficial

00:43:47.511 --> 00:43:49.691
in moderate, uh, comes out.

00:43:49.971 --> 00:43:52.971
Common therapies given,
very impactful within this.

00:43:53.711 --> 00:43:57.951
The-- what's interesting, something you
said, and I remember the, uh, uh, not a

00:43:58.031 --> 00:44:05.011
panic, but we triggered the tocilizumab
result of superiority, and we had had

00:44:05.071 --> 00:44:10.811
a surge in the UK of patients, and
so we had a good, solid result, but

00:44:10.851 --> 00:44:15.971
there were like half, uh, half the
patients weren't even to 28 days yet.

00:44:16.431 --> 00:44:19.351
And so we triggered this, and
the whole f- "What's gonna happen

00:44:19.371 --> 00:44:20.431
when all of these came in?"

00:44:20.471 --> 00:44:22.491
And of course, it came in almost the same.

00:44:23.091 --> 00:44:26.391
Uh, incredibly beneficial is one of
this, you know, what's gonna happen.

00:44:26.451 --> 00:44:27.071
You touched on this.

00:44:27.891 --> 00:44:34.151
I think every result that REMAP-CAP
came up with, with its adaptive

00:44:34.211 --> 00:44:40.811
design, its Bayesian, its RAR, its,
uh, its multifactorial, was backed

00:44:40.891 --> 00:44:42.591
up by a result in a different trial.

00:44:42.731 --> 00:44:49.591
Typically after that, I think all of these
results bore out w- with it, whether it

00:44:49.671 --> 00:44:56.611
was antivirals being harmful for severe
patients, uh, h- hydroxychloroquine

00:44:56.671 --> 00:45:01.731
within this, the benefit of steroids
within it, the benefits of the IL-6

00:45:01.791 --> 00:45:08.511
receptor antagonist, the anticoagulation
result was backed up, the ACEs and ARBs.

00:45:08.591 --> 00:45:13.691
Largely all of these things, vitamin C
largely doesn't seem to be a benefit.

00:45:13.711 --> 00:45:17.271
I mean, it was amazing
how it kinda got it right.

00:45:18.551 --> 00:45:21.531
You know, and I don't, I don't mean
to say in a doubting way, but oh my

00:45:21.571 --> 00:45:23.291
God, it kinda got everything right

00:45:24.853 --> 00:45:28.753
Steve Webb: Well, um, in, in two and
a half to three years, the platform

00:45:28.813 --> 00:45:36.353
evaluated, fully tested repurposed
medicines for a disease that, um, um,

00:45:36.433 --> 00:45:39.153
had never existed, uh, uh, before.

00:45:39.833 --> 00:45:41.493
There, there are a couple of results.

00:45:42.853 --> 00:45:47.313
I don't think the anticoagulation in
critically ill patients was ever, um,

00:45:47.733 --> 00:45:50.093
uh, reproduced, uh, by another trial.

00:45:50.453 --> 00:45:53.553
I don't think there were other trials,
or if there, if there were, they

00:45:53.653 --> 00:45:58.933
were, um, uh, um, had insufficient
sample size to a-address the question.

00:45:59.953 --> 00:46:00.433
Um, one

00:46:00.510 --> 00:46:01.471
Scott: the multi-platform.

00:46:01.530 --> 00:46:06.210
It was, it was the Canadian attack trial
and, and, yeah, the combining together.

00:46:06.270 --> 00:46:06.590
Right, right.

00:46:06.670 --> 00:46:06.810
Yep.

00:46:07.690 --> 00:46:08.411
Yep.

00:46:08.473 --> 00:46:11.253
Steve Webb: the, um, uh,
contributions from ACTA4 and,

00:46:11.390 --> 00:46:11.511
Scott: Yep

00:46:11.513 --> 00:46:14.693
Steve Webb: a-and, and uh, uh, CAP.

00:46:14.993 --> 00:46:16.173
Attack, sorry.

00:46:16.253 --> 00:46:23.553
Um, but, um, um, um, uh, Recovery
reported their antiplatelet, uh,

00:46:23.733 --> 00:46:30.333
question, um, my recollection is
before we, uh, reported, uh, ours.

00:46:31.093 --> 00:46:36.293
And they stopped having recruited about
15,000, uh, patients, uh, which is a,

00:46:36.393 --> 00:46:38.963
you know, extraordinary, uh, sample size.

00:46:39.523 --> 00:46:45.833
And, um, their results were, um, um,
no difference in outcome with 28-day

00:46:45.953 --> 00:46:49.273
mortality as, uh, the primary endpoint.

00:46:50.053 --> 00:46:53.433
we had this interesting result in,
uh, Remap-Cap, which is a rabbit

00:46:53.473 --> 00:46:57.773
hole that we shouldn't go down, of
po-possibly there being non-proportional

00:46:57.853 --> 00:47:01.893
treatment effect across the ordinal
scale, uh, that we were using.

00:47:02.533 --> 00:47:08.533
But my recollection is that there was
something like a 93% or 95% probability

00:47:08.633 --> 00:47:15.173
of s- of superiority for aspirin with
90-day mortality, uh, as the endpoint.

00:47:15.833 --> 00:47:19.883
if we looked at the recovery
survival curves, the Kaplan-Meier

00:47:19.973 --> 00:47:25.273
curves, were really only starting
to separate around, uh, uh, day 30.

00:47:25.713 --> 00:47:30.133
So it's interesting how choice of
endpoints and the meaningfulness

00:47:30.193 --> 00:47:34.513
of endpoints, um, can impact
on the appropriate, uh, or the

00:47:34.573 --> 00:47:38.503
generation of evidence to, um, be
applied to improve patient care

00:47:40.526 --> 00:47:40.806
Scott: Yeah.

00:47:41.366 --> 00:47:47.946
Uh, another, uh, sort of amazing thing in
the trial and, um, with these 17 results

00:47:47.986 --> 00:47:52.606
in COVID that you talked about is they
largely, most of them had the same design.

00:47:53.407 --> 00:47:57.427
That we're going to enroll till
there's a 99% probability of

00:47:57.507 --> 00:48:04.266
superiority or a 95% probability
that the effect was moderate at best.

00:48:04.667 --> 00:48:08.866
Fu- we, futility, that it, it didn't
achieve above a certain threshold.

00:48:09.366 --> 00:48:12.166
And well, many times we don't
have a maximum sample size.

00:48:12.186 --> 00:48:14.447
We just go till one of
those results are hit.

00:48:15.087 --> 00:48:19.506
And we had sample sizes of these
largely with these 17 different

00:48:19.566 --> 00:48:21.267
things, different designs.

00:48:21.346 --> 00:48:25.747
We had sample sizes for the
arms from about 100, and a good

00:48:25.826 --> 00:48:30.686
number of them at 100, 200, 300,
all the way up to over 1,000.

00:48:31.466 --> 00:48:37.626
And the time at which it triggered and
said, "Here's the answer," varied from,

00:48:37.986 --> 00:48:43.166
uh, 100 patients to 1,000 patients
all spread out, and it just depending

00:48:43.226 --> 00:48:44.546
on the effect of when it happened.

00:48:44.786 --> 00:48:50.846
This incredible demonstration of
the power of adaptive learning and

00:48:50.907 --> 00:48:56.286
adaple- adaptive sample size when
time was so incredibly critical

00:48:56.532 --> 00:48:56.652
Steve Webb: Yep.

00:48:57.372 --> 00:48:57.532
Yep.

00:48:58.212 --> 00:49:04.352
Um, um, uh, um, the, the number of
patients dying from COVID in any one

00:49:04.532 --> 00:49:09.972
week meant that, um, a week's difference
in when a result became available

00:49:10.032 --> 00:49:12.612
was important, uh, to public health.

00:49:13.473 --> 00:49:19.992
Um, one of the things which, um, uh,
I, I love about the Bayesian approach

00:49:20.112 --> 00:49:26.572
is, is, is just this opportunity set
a statistical, uh, trigger of the

00:49:26.672 --> 00:49:30.453
amount of confidence, uh, the amount
of credibility that is necessary

00:49:30.532 --> 00:49:37.493
to, um, conclude a question and then
keep recruiting, frequently so that

00:49:37.612 --> 00:49:42.072
as soon as there's sufficient, uh,
credibility to the result, um, the

00:49:42.172 --> 00:49:44.792
experiment, uh, uh, can be concluded.

00:49:45.692 --> 00:49:52.453
and I think if, um, I think about all of
the things I learnt, uh, when I was doing,

00:49:52.572 --> 00:49:56.052
uh, biostats and epi as a master's student

00:49:56.212 --> 00:50:01.832
and thought all of these things
about, um, um, uh, not answering the

00:50:01.932 --> 00:50:06.772
question until you've, uh, recruited
your, uh, your proposed sample size

00:50:06.832 --> 00:50:09.972
based off a, um, a power calculation.

00:50:09.993 --> 00:50:12.492
And I thought, "Oh, these
are really, really important,

00:50:12.592 --> 00:50:15.092
uh, features of, uh, design."

00:50:16.112 --> 00:50:18.352
Um, I, I, I now understandâ¦

00:50:18.432 --> 00:50:21.232
I, I still understand why
they're important, but I do

00:50:21.353 --> 00:50:22.232
think there's a better way

00:50:23.523 --> 00:50:23.663
Scott: Mm-hmm.

00:50:24.808 --> 00:50:24.928
Steve Webb: Um,

00:50:25.042 --> 00:50:25.802
Scott: Fantastic.

00:50:25.942 --> 00:50:26.422
And so

00:50:26.528 --> 00:50:36.148
Steve Webb: uh, uh, when it's appreciated
so frequently the, um, uh, estimates

00:50:36.228 --> 00:50:42.668
about the size of treatment or effect
necessary to run clinical trials using

00:50:42.729 --> 00:50:49.688
that approach are, um, guesses that
are capable of being just wrong in a

00:50:49.809 --> 00:50:54.808
quantifiable way, wrong in the direction
of the treatment effect as well.

00:50:55.808 --> 00:51:01.709
And one of the really good things that
came out of REMAP-CAP was, we tested

00:51:01.768 --> 00:51:07.688
a variety of treatments because they
were being used, uh, off-label where

00:51:07.729 --> 00:51:10.268
the treatment turned out to be harmful.

00:51:10.398 --> 00:51:10.668
And the way

00:51:10.668 --> 00:51:16.049
REMAP-CAP statistical triggers are set
up, particularly futility, if there's

00:51:16.049 --> 00:51:21.698
an intervention that's very harmful,
it triggers very quickly for harm.

00:51:22.228 --> 00:51:26.928
It's not necessary to statistically
prove if that's, uh, um, a valid

00:51:26.988 --> 00:51:29.148
concept that something is harmful.

00:51:29.228 --> 00:51:31.429
You just need to know it's not effective.

00:51:32.589 --> 00:51:33.088
Some of the

00:51:33.228 --> 00:51:36.808
biggest public health impact in
REMAP-CAP came from early identification

00:51:36.828 --> 00:51:40.848
of harmful interventions that
were in standard care at the time.

00:51:42.042 --> 00:51:42.182
Scott: Yeah.

00:51:42.782 --> 00:51:43.063
Yeah.

00:51:43.962 --> 00:51:44.522
Incredible.

00:51:44.782 --> 00:51:46.443
So the, the story continues.

00:51:46.642 --> 00:51:48.962
The REMAP-CAP story continues.

00:51:49.403 --> 00:51:53.202
Um, w- it is still, it is
still enrolling patients.

00:51:53.302 --> 00:51:56.982
I think I looked today, there
are 240 sites enrolling.

00:51:57.382 --> 00:51:59.602
It's enrolling
community-acquired pneumonia.

00:51:59.703 --> 00:52:00.582
It's evolving.

00:52:00.722 --> 00:52:08.182
It is ready for a pandemic, uh, onto virus
or, or, or whatever happens to be next.

00:52:08.602 --> 00:52:10.982
We are ready, uh, within this.

00:52:11.042 --> 00:52:15.242
We also are getting results in
community-acquired pneumonia, influenza.

00:52:15.342 --> 00:52:20.062
Uh, we're hoping to have on this show,
uh, to, to talk about some of the results

00:52:20.102 --> 00:52:25.602
that are coming out, I think June 10th in,
uh, Belfast, there are results coming out,

00:52:25.783 --> 00:52:29.402
so it is still doing incredible things.

00:52:30.788 --> 00:52:31.508
Steve Webb: Um, uh,

00:52:31.522 --> 00:52:32.042
Scott: s- yeah

00:52:32.428 --> 00:52:34.628
Steve Webb: it just,
it, it, it just rolls on

00:52:35.834 --> 00:52:36.194
Scott: Yeah.

00:52:37.215 --> 00:52:38.674
So in-incredible.

00:52:38.735 --> 00:52:44.394
I, I appreciate you helping me start
to get our hands around this beast.

00:52:44.995 --> 00:52:49.014
The, the beginning of this, the, the--
There's a lot to talk about in this,

00:52:49.094 --> 00:52:52.554
and I think we're gonna come back with
lessons learned, different results,

00:52:52.714 --> 00:52:57.774
specific statistical things, response
adaptive randomization results.

00:52:57.835 --> 00:53:00.334
So lots more to talk about Remap CAP.

00:53:00.354 --> 00:53:05.354
Steve, thank you very much for
joining me on the origins of Remap CAP

00:53:07.092 --> 00:53:07.372
Steve Webb: Thank you,

00:53:07.706 --> 00:53:08.186
Scott: And

00:53:08.592 --> 00:53:09.732
Steve Webb: uh, great to chat

00:53:11.374 --> 00:53:15.015
Scott: And everybody else, thank you
all for listening, and until next

00:53:15.055 --> 00:53:17.254
time, we'll be here in the interim