Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 5, 2023
Abstract
Background
Evaluating
outcome
reliability
is
critical
in
real-world
evidence
studies.
Overall
survival
a
common
clinical
these
studies;
however,
its
capture
data
sources
incomplete
and
often
supplemented
with
linked
mortality
information
from
external
sources.
There
are
conflicting
recommendations
for
censoring
overall
We
conducted
simulation
study
to
understand
the
impact
of
different
methods
on
estimating
median
log
hazard
ratios
when
not
fully
captured.
Methods
used
Monte
Carlo
emulate
non-randomized
comparative
effectiveness
two
treatments
electronic
health
records
data.
simulated
time
death,
last
database
activity
cutoff.
attributed
death
events
after
randomly
set
them
missing
reflect
sensitivity
specificity
contemporary
Two
schemes
were
evaluated:
(1)
censor
at
date
without
an
observed
(2)
end
availability
(data
cutoff).
bias,
coverage,
rejection
rate
assess
performance
each
method
under
varying
amounts
treatment
effects,
length
follow-up,
sample
size.
Results
When
was
captured,
estimates
unbiased
cutoff
underestimated
activity.
missing,
survival,
while
overestimated
it.
As
increased,
bias
decreased
increased
data-off.
Conclusions
Researchers
should
completeness
choosing
how
analysis
using
Substantial
can
occur
if
inappropriate
scheme
selected.
advocate
providers
perform
validation
studies
their
publish
findings
inform
methodological
decisions
better.
Clinical Pharmacology & Therapeutics,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 3, 2025
Recent
discussions
about
the
utilization
of
real-world
data
(RWD)
and
evidence
(RWE)
have
been
more
focused
on
drug
development
for
regulatory
approval
rather
than
during
post-marketing
stage.
In
Japan,
RWD/RWE
practically
utilized
as
an
external
control
approval.
Most
cases
were
related
to
orphan
diseases
where
feasibility
conducting
randomized
controlled
clinical
trials
was
generally
low.
The
provides
additional
information
that
can
support
review
However,
many
points
should
be
taken
into
consideration
through
all
stages
a
study
is
based
RWD/RWE,
including
planning,
analysis,
interpretation.
this
article,
we
present
our
recent
experience
focusing
efficacy
evaluations
with
submitted
part
new
applications
in
describe
evaluation
Points
described
article
promote
appropriate
facilitate
proper
discussion
PMDA.
Further
accumulation
PMDA
will
enhance
knowledge
contribute
better
decision
making
approvals
RWD/RWE.
Clinical Pharmacology & Therapeutics,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 17, 2024
Regulators
increasingly
rely
on
real‐world
evidence
generated
from
routine‐care
health
data
to
evaluate
novel
therapies.
Particularly,
external
control
arms
are
used
supplement
and
contextualize
efficacy
safety
claims
of
single
arm
clinical
trials
for
rare
disease
However,
there
a
number
methodological
issues
that
may
affect
the
validity
results
derived
such
comparisons.
In
this
mini‐review,
we
briefly
summarize
frequently
approaches
outline
some
most
important
criticisms
paths
forward.
British Journal of Haematology,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 26, 2025
Summary
Real‐world
data
(RWD)
previously
contributed
to
post‐marketing
regulatory
decision‐making,
but
are
currently
also
considered
as
external
controls
single‐arm
trials.
The
use
of
RWD
control
may
be
compromised
by
methodological
issues,
urging
validation
cohorts.
Two
cohorts
newly
diagnosed
acute
myeloid
leukaemia
patients,
one
registered
the
HARMONY
Alliance
(HA)
and
Netherlands
Cancer
Registry
(NCR),
were
compared
arm
randomized
HOVON‐103
trial
(H103
controls).
All
aged
>65
years
with
a
WHO
performance
score
0–2
(or
missing),
received
standard
induction
chemotherapy.
1:1
propensity
calliper
matching
(PSM)
was
applied
improve
comparability,
overall
(OS)
relapse‐free
survival
(RFS)
assessed.
Fewer
elements
available
in
H103
controls,
specifically
NCR
cohort.
Baseline
characteristics
differed
from
controls;
missing
more
frequent
predominantly
concerned
score.
After
PSM,
HA
patients
demonstrated
non‐significantly
different
OS
RFS
at
2
(26
±
4%
vs.
31
5%,
p
=
0.59;
24
5%
30
6%,
0.52),
while
had
12%
lower
(28
40
4%,
0.21).
Validation
is
needed
before
incorporating
into
comparative
analyses,
data,
comorbidities,
residual
confounding
limit
comparability.
Frontiers in Drug Safety and Regulation,
Год журнала:
2024,
Номер
4
Опубликована: Апрель 11, 2024
External
comparator
(EC)
studies
are
increasingly
being
used
to
generate
evidence
that
supports
the
evaluation
of
emerging
pharmacological
treatments
for
regulatory
and
health
technology
assessment
(HTA)
purposes.
However,
reliability
generated
from
EC
can
vary.
In
this
paper,
we
outline
how
an
existing
framework
causal
inference,
target
trial
emulation
(TTE)
framework,
be
appropriately
applied
improve
design
analysis
studies.
Applying
TTE
involves
specifying
protocol
ideal
which
would
answer
question
interest,
then
emulating
its
key
elements
under
real-world
(RW)
settings.
We
describe
each
component
original
explain
it
studies,
supplemented
with
practical
recommendations.
also
highlight
special
considerations
limitations
in
applying
clarity,
transparency,
Clinical and Translational Science,
Год журнала:
2024,
Номер
17(7)
Опубликована: Июль 1, 2024
Abstract
Real‐world
evidence
(RWE)
trials
have
a
key
advantage
over
conventional
randomized
controlled
(RCTs)
due
to
their
potentially
better
generalizability.
High
generalizability
of
study
results
facilitates
new
biological
insights
and
enables
targeted
therapeutic
strategies.
Random
sampling
RWE
trial
participants
is
regarded
as
the
gold
standard
for
Additionally,
use
sample
correction
procedures
can
increase
results,
even
when
using
nonrandomly
sampled
real‐world
data
(RWD).
This
presents
descriptive
on
extent
which
design
currently
planned
or
already
conducted
takes
into
account.
It
also
examines
whether
random
correcting
nonrandom
samples
are
considered.
Based
text
mining
publicly
available
metadata
provided
during
registrations
clinicaltrials.gov,
EU‐PAS,
OSF‐RWE
registry,
it
shown
that
share
with
information
increased
from
65.27%
in
2002
97.43%
2022,
corresponding
14.79%
28.30%
samples.
For
samples,
there
an
0.00%
0.95%
used.
We
conclude
potential
benefits
RWD
terms
generalizing
not
yet
being
fully
realized.
Clinical Pharmacology & Therapeutics,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 2, 2024
Almost
all
external
control
arm
analyses
to
contextualize
findings
of
a
single
trial
struggle
with
two
key
issues:
the
lack
baseline
randomization,
and
equally
important,
difference
in
data
collection
between
experimental
its
primary
collection,
using
secondary
data.
We
illustrate
calibration
design
remedy
issues
arising
from
differential
measurements
arms,
discuss
hybrid
that
expands
an
underpowered
randomized
internal
real-world
mitigate
randomization
arm.
show
how
approaches
fit
into
evidence-development
strategy
naturally
builds
on
incremental
insights
gained.
Therapeutic Innovation & Regulatory Science,
Год журнала:
2024,
Номер
58(6), С. 1214 - 1232
Опубликована: Сен. 16, 2024
Single-arm
clinical
trials
(SAT)
are
common
in
drug
and
biologic
submissions
for
rare
or
life-threatening
conditions,
especially
when
no
therapeutic
options
exist.
External
control
arms
(ECAs)
improve
interpretation
of
SATs
but
pose
methodological
regulatory
challenges.
Clinical Pharmacology & Therapeutics,
Год журнала:
2023,
Номер
114(2), С. 303 - 315
Опубликована: Апрель 20, 2023
Regulators
and
Health
Technology
Assessment
(HTA)
bodies
are
increasingly
familiar
with,
publishing
guidance
on,
external
controls
derived
from
real-world
data
(RWD)
to
generate
evidence
(RWE).
We
recently
conducted
a
systematic
literature
review
(SLR)
evaluating
publicly
available
information
on
the
use
of
RWD-derived
contextualize
outcomes
uncontrolled
trials
submitted
European
Medicines
Agency
(EMA),
US
Food
Drug
Administration
(FDA),
and/or
select
HTA
bodies.
The
identified
several
key
operational
methodological
aspects
for
which
more
detailed
alignment
within
between
regulatory
agencies
is
necessary.
This
paper
builds
SLR
findings
by
delineating
set
takeaways
responsible
generation
fit-for-purpose
RWE.
Practical
guidelines
designing,
conducting,
reporting
control
studies
explored
discussed.
These
considerations
include:
(i)
early
engagement
with
regulators
during
study
planning
phase;
(ii)
consideration
appropriateness
comparability
across
multiple
dimensions,
including
eligibility
criteria,
temporality,
population
representation,
clinical
evaluation;
(iii)
ensuring
adequate
sample
sizes,
hypothesis
testing
considerations;
(iv)
implementation
clear
transparent
strategy
assessing
addressing
quality,
missingness
RWD;
(v)
selection
comparable
meaningful
endpoints
that
operationalized
analyzed
using
appropriate
analytic
methods;
(vi)
conduct
sensitivity
analyses
assess
robustness
in
context
uncertainty
sources
potential
bias.