Health Expectations,
Journal Year:
2024,
Volume and Issue:
27(5)
Published: Oct. 1, 2024
ABSTRACT
Objective
The
aim
of
this
study
is
to
identify
and
explore
the
unmet
needs
adolescents
young
adults
living
with
endometriosis.
Design
An
open‐ended
online
survey
was
conducted,
questions
derived
from
prior
research
looking
at
areas
need
in
healthcare,
career
work,
financial,
information,
psychological,
social
cultural
domains.
Setting
Population
Self‐selecting
18‐25
year
olds
surgically
diagnosed
endometriosis
(self‐reported)
currently
Australia
were
included
as
participants.
Methods
Invitation
participate
an
shared
through
media
Australian
organisations
Royal
Women's
Hospital,
Melbourne.
Surveys
analysed
qualitatively
template
analysis.
Main
Outcome
Measures
Recording
supportive
care
population
carried
out.
Results
One
hundred
thirty‐one
respondents
fit
eligibility
criteria
being
aged
18–25
years
(median
age
23
years).
Most
born
(94%),
university‐educated
(54%)
lived
a
metropolitan
setting
(69%).
There
range
that
presented
across
education,
healthcare
relationships.
Group‐specific
challenges
identified:
doctors
either
over‐
or
underemphasising
future
fertility;
disrupted
sexual
romantic
life
due
painful
sex;
managing
pain
classroom
workplace
where
periods
are
taboo;
gender‐queer
gynaecological
medical
spaces.
Conclusions
increasingly
which
patients
receiving
diagnosis
precipitates
shift
patient
care.
treatment
decisions
made
must
be
reflective
unique
who
carry
burden
disease.
Clinicians
advised
aware
discuss
their
patients.
Patient
Public
Contribution
nine
developed
data
preliminary
series
interviews
tertiary
women's
centre.
In
asking
these
data‐informed
community,
broader
sociocultural
demographics
disease
states
(including
less
symptomatic
endometriosis)
have
provided
understanding
needs.
Journal of Minimally Invasive Gynecology,
Journal Year:
2024,
Volume and Issue:
31(5), P. 371 - 377
Published: Feb. 15, 2024
This
group
was
formed
out
of
the
conviction
that
endometriosis
research
has
not
progressed
at
a
pace
in
proportion
to
disease
severity
and
negative
impact
on
women's
quality
life.
Furthermore,
advancement
our
understanding
this
condition
requires
quantum
shift
based
new
theories
pathogenesis.
With
conviction,
international
calls
for
may
improve
condition,
leading
optimized
management
or
even
prevention.
To
facilitate
this,
dedicated
website
serving
as
repository
where
all
proposed
can
be
reviewed
critiqued
by
peers
will
created.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(8), P. 4306 - 4306
Published: April 13, 2024
Endometriosis
is
a
chronic
condition
affecting
reproductive-aged
women,
characterized
by
the
growth
of
ectopic
endometrial
tissue.
Despite
being
benign,
endometriosis
associated
with
an
increased
risk
certain
cancers,
including
endometriosis-associated
ovarian
cancer
(EAOC).
Ovarian
rare,
but
more
common
in
women
endometriosis,
particularly
endometrioid
and
clear-cell
carcinomas.
Factors
such
as
hormonal
imbalance,
reproductive
history,
environmental
exposures,
genetic
predisposition
contribute
to
malignant
transformation
endometriosis.
Thus,
understanding
potential
factors
causing
malignancy
crucial.
Over
past
few
decades,
various
mutations,
microRNAs,
well
tumor
microenvironmental
have
been
identified,
impacting
pathways
like
PI3K/AKT/mTOR,
DNA
repair
mechanisms,
oxidative
stress,
inflammation.
this
review
aims
summarize
molecular
studies
involved
EAOC
pathogenesis
therapeutic
targets.
However,
further
research
needed
better
understand
driving
development,
target
susceptibility
endometriotic
lesions
progression,
identify
effective
strategies.
Expert Opinion on Emerging Drugs,
Journal Year:
2023,
Volume and Issue:
28(4), P. 333 - 351
Published: Oct. 2, 2023
Introduction
Endometriosis
is
an
estrogen-dependent
disease
that
gives
rise
to
pelvic
pain
and
infertility.
Although
estroprogestins
progestins
currently
stand
as
the
first-line
treatments
for
this
condition,
demonstrating
efficacy
in
two-thirds
of
patients,
a
significant
portion
individuals
experience
only
partial
relief
or
symptom
recurrence
following
cessation
these
therapies.
The
coexistence
superficial,
deep
endometriosis,
ovarian
endometriomas,
three
distinct
phenotypes
with
unique
pathogenetic
molecular
characteristics,
may
elucidate
current
heterogeneous
biological
response
available
therapy.
As
a
heterogenous
disease
with
likely
multiple
pathogeneses
and
as-yet-undefined
subtypes,
progress
in
endometriosis
treatment
is
currently
limited
by
lack
of
appropriate
models
cohorts
for
research.
Almost
half
all
publicly
available
datasets
labelled
as
‘endometriosis’
do
not
represent
true
they
are
based
on
eutopic
endometrium.
Eutopic
endometrial
cells
tissues
frequently
being
used
to
endometriotic
lesions,
despite
the
unequivocal
differences
at
both
tissue
cellular
levels.
preclinical
research
increases,
it
important
that
unique
molecular
profiles
endometrium
distinguished.
Whilst
each
these
biospecimens
can
provide
invaluable
information
better
understand
aetiology
identify
targets
diagnosis
treatment,
imperative
biospecimen
model
answer
relevant
question
because
Frontiers in Digital Health,
Journal Year:
2024,
Volume and Issue:
6
Published: Sept. 10, 2024
Introduction
Endometriosis
(EMs)
and
adenomyosis
(AD)
are
common
gynecological
diseases
that
impact
women's
health,
they
share
symptoms
such
as
dysmenorrhea,
chronic
pain,
infertility,
which
adversely
affect
quality
of
life.
Current
diagnostic
approaches
for
EMs
AD
involve
invasive
surgical
procedures,
thus,
methods
noninvasive
differentiation
between
needed.
This
retrospective
cohort
study
introduces
a
novel,
classification
methodology
employing
stacked
ensemble
machine
learning
(ML)
model
utilizes
peripheral
blood
coagulation
markers
to
distinguish
AD.
Methods
The
included
total
558
patients
(329
with
229
AD),
in
whom
key
hematological
were
analyzed
identify
distinctive
profiles.
Feature
selection
was
conducted
through
ML
(logistic
regression,
support
vector
machine,
K-nearest
neighbors)
determine
significant
markers.
Results
Red
cell
distribution
width,
mean
corpuscular
hemoglobin
concentration,
activated
partial
thromboplastin
time,
international
normalized
ratio,
antithrombin
III
proved
be
the
distinguishing
indexes
disease
differentiation.
Among
all
models
developed,
demonstrated
superior
performance
(area
under
curve
=
0.803,
95%
credibility
interval
0.701–0.904).
Our
findings
demonstrate
effectiveness
classifying
Discussion
Integrating
biomarkers
into
this
multi-algorithm
framework
offers
novel
approach
diagnosis.
These
results
advocate
application
utilizing
cost-effective
readily
available
indicators
early,
rapid,
differential
diagnosis
AD,
offering
potentially
transformative
clinical
decision-making
personalized
treatment
strategies.
