Current drawbacks and future perspectives in the diagnosis and treatment of male factor infertility, with a focus on FSH treatment: an expert opinion
Journal of Endocrinological Investigation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 13, 2025
Infertility
is
defined
as
the
inability
to
conceive
after
1
year
of
unprotected
intercourse,
affecting
approximately
15-20%
couples
in
Western
countries.
It
a
shared
problem
within
couple;
when
main
issue
lies
with
one
partners,
it
preferable
refer
"male
factor"
or
"female
infertility
rather
than
simply
male
female
infertility.
Despite
factor
accounting
for
half
all
couple
cases,
clinical
approach
partner
not
uniformly
standardized
across
international
guidelines.
To
provide
an
expert
overview,
we
have
comprehensively
reviewed
and
critically
analyzed
most
up-to-date
literature
on
this
sensitive
topic,
leading
development
proposal
tailored
assessment
diagnostic-therapeutic
pathway
preventive
strategies.
The
diagnostic
also
considers
that
infertile
men
are
objectively
less
healthy
their
fertile
counterparts
same
age
ethnicity.
This
article
discusses
flow,
classification
infertility,
definition
idiopathic
involvement
general
health,
treatment
recommendations,
emphasizing
follicle-stimulating
hormone
selected
groups
patients.
We
opinion
current
drawbacks
future
perspectives
field,
practical
advice
practice
practitioners
reproductive
medicine.
Language: Английский
Reducing Quotation Errors in Scientific Manuscripts: A Novel Approach from the Global Andrology Forum
The World Journal of Men s Health,
Journal Year:
2025,
Volume and Issue:
43
Published: Jan. 1, 2025
This
study
investigated
1)
the
frequency
of
quotation
errors
in
multi-authored
medical
manuscripts
andrology,
2)
analyzed
common
types
and
methods
used
to
rectify
them,
3)
evaluated
their
impact
on
manuscript
accuracy,
credibility,
research
conclusions.
Twelve
written
by
Global
Andrology
Forum
(GAF)
members
between
2023
2024
were
randomly
selected
for
this
study.
The
"Quotation
Verification
Sheets"
senior
GAF
researchers
detect
number
errors.
error
rate
was
calculated
total
all
cited
references
each
manuscript.
sections
assessed
using
a
0-4
grading
scale.
Spearman
correlation
test
assess
scalar
variables,
Mann-Whitney
U
utilized
compare
variables
two
groups.
median
value
10.3%.
Factual
inaccuracy
most
type
error,
observed
twelve
at
various
rates.
significantly
associated
with
(ρ=0.706;
p=0.010)
in-text
citations
(ρ=0.636;
p=0.026).
(ρ=0.588;
p=0.044)
factual
interpretation
(ρ=0.861;
p=0.013)
also
correlated
However,
no
significant
associations
found
author
numbers
or
qualifications.
adversely
impacted
discussion,
followed
overall
message.
Quotation
are
andrology-related
scientific
articles.
Journal
editorial
offices
should
incorporate
verification
into
review
process.
Limiting
only
strictly
necessary
ones
may
help
improve
accuracy.
model
proposed
offers
practical
structured
approach
detecting
correcting
Language: Английский
Factor Structure and Psychometric Properties of the Italian Version of the Childbearing Motivations Scale
International Journal of Environmental Research and Public Health,
Journal Year:
2025,
Volume and Issue:
22(2), P. 186 - 186
Published: Jan. 28, 2025
The
Childbearing
Motivations
Scale
(CMS)
is
a
multidimensional
self-report
measure
of
positive
and
negative
motivations
influencing
the
decision
to
become
parent.
This
study
aimed
validate
Italian
version
CMS.
A
sample
522
participants
(27%
men
73%
women)
aged
from
18
55
years
was
recruited.
four-factor
model
for
subscale
five-factor
CMS
demonstrated
good
fit.
Reliability
values
ranged
0.70
0.91.
Both
factors
had
evidence
convergent
validity
with
sex,
age,
relationship
duration:
women
reported
lower
in
some
mother
contrast
men.
Moreover,
greater
becoming
Those
longer
indicated
motivations.
No
significant
correlations
were
found
subscale.
Significant
differences
income
levels
(low
vs.
medium/high)
regarding
personal
fulfillment,
financial
problems,
body-image
concerns,
as
well
cultural
(medium
high)
concerning
economic
constraints,
intergenerational
continuity,
immaturity,
physical
suffering.
These
findings
suggest
that
individuals
resources
scored
higher
across
all
these
areas
on
Negative
Our
indicate
can
be
used
reliably
assess
parenthood
among
women.
Language: Английский
Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency
Yaling Hew,
No information about this author
Duygu Kütük,
No information about this author
Tuba Düzcü
No information about this author
et al.
Biology,
Journal Year:
2024,
Volume and Issue:
13(12), P. 988 - 988
Published: Nov. 28, 2024
Incorporating
artificial
intelligence
(AI)
into
in
vitro
fertilization
(IVF)
laboratories
signifies
a
significant
advancement
reproductive
medicine.
AI
technologies,
such
as
neural
networks,
deep
learning,
and
machine
promise
to
enhance
quality
control
(QC)
assurance
(QA)
through
increased
accuracy,
consistency,
operational
efficiency.
This
comprehensive
review
examines
the
effects
of
on
IVF
laboratories,
focusing
its
role
automating
processes
embryo
sperm
selection,
optimizing
clinical
outcomes,
reducing
human
error.
AI’s
data
analysis
pattern
recognition
capabilities
offer
valuable
predictive
insights,
enhancing
personalized
treatment
plans
increasing
success
rates
fertility
treatments.
However,
integrating
also
brings
ethical,
regulatory,
societal
challenges,
including
concerns
about
security,
algorithmic
bias,
human–machine
interface
decision-making.
Through
an
in-depth
examination
current
case
studies,
advancements,
future
directions,
this
manuscript
highlights
how
can
revolutionize
by
standardizing
processes,
improving
patient
advancing
precision
It
underscores
necessity
ongoing
research
ethical
oversight
ensure
fair
transparent
applications
sensitive
field,
assuring
responsible
use
Language: Английский