Studies
reporting
associations
between
smoking
cessa-
tion
and
disease
outcomes
were
also
subjected
to
the
aforementioned
criteria.
In
addition, we
required
that
the
time
period
over which
smoking
cessation
took
place was
clearly delineated and
that
the comparator group contained
patients who were
smoking
at
the
time
of
diagnosis.
2.3.
Data
extraction
J.J.C.
tabulated
the
data
from
all
the
studies
included
and
M.R.
reviewed
the
tables
for accuracy. For
studies
reporting
associations
between
smoking
and
UCB
risk, we
required
that
odds
ratios
(ORs) were
available with
95%
confidence
intervals
(CIs). When
not
available, ORs were
calculated
if
the
data
permitted
this.
For
associations
between
smoking
and
clinical
outcomes,
we
recorded
p
values
(or
95%
CIs
if
p
values
were
not
provided),
along
with
hazard
ratios
(HRs)
or
ORs
if
they
were
available.
If
both multivariate
and
univariate
analyses
were
performed
for
the
same
smoking-endpoint
association,
we
recorded
the
result
of
the
multivariate
analysis.
Statistical
significance
was
defined
as
p
<
0.05.
3.
Evidence
synthesis
3.1.
Bladder
cancer
risk
We
estimate
that
several
hundred
case-control
and
cohort
studies
have
been
conducted
to
estimate
the
risk
of
UCB
attributable
to
smoking.
An
analysis
performed
in
2011
of
467
528 men
and women
found
that
former
and
current
smokers
had
two-
and
fourfold
increases,
respectively,
in
UCB
risk
relative
to never
smokers
[18]. The population
risk
of
bladder
cancer
attributable
to
smoking
was
approxi-
mately
50%
for
both men
and women.
This reviewsummarizes the impact of smokingonbladder
cancer
risk
in studies published since 2011. Among
the eight
case-control
studies
selected
( Table 1)
[19–26],
UCB
risk
was
two-
to
fourfold
higher
for
current
smokers,
and
up
to
threefold
higher
for
former
smokers.
Risk
estimates
were
similar
for men
and women
across
studies. One
study
found
that
smoking was more
strongly
associated with
the
development of MIBC
than with NMIBC
[22]. While smoking
cessation
attenuates
UCB
risk,
former
smokers
are
still
approximately
twice
as
likely
to
develop
the
disease
20
yr
after quitting
[24] .Overall,
the most
current
risk
estimates
are
consistent
with
those
of
Freedman
et
al
[18]from
2011.
Interestingly,
changes
in
the composition of cigarette smoke
that might be
more
likely
to
induce
bladder
carcinogenesis
could
explain
the nearly unchanged incidence
inUCB despite the decreased
prevalence of smoking. Although
the molecular mechanisms
behind
bladder
carcinogenesis
remain
incompletely
eluci-
dated,
several
have
been
proposed
[27–29].
In
addition,
investigating
specific
genetic
susceptibilities
may
help
in
understanding
smoking-related
risk
profiles
for
individual
patients
[30] .It
is
important
to
note
that
case-control
studies
such
as
those
reported
here
are
limited
by
their
retrospective
nature
and
demographic
and
clinical
differences
often
unaccounted
for
between
case
and
control
populations.
However,
they
are
often
adequate
for
obtaining
risk
estimates,
especially
in
light
of
the
high
cost
of
performing
a
prospective
cohort
study.
Table
1
–
Selected
studies
reporting
associations
of
smoking
and
risk
of
urothelial
carcinoma
of
the
bladder
Study
Years
Cases
(
n
)
Controls
(
n
)
Mean
or median
age
(years)
Male
(%)
Smoking
categor
y *Estimate
Alguacil
et
al.
(2011)
1998-2001
712
611
NR
89
Ever
OR=2.4
y
Former
OR=1.8
y
Current
OR=3.7
y
Jiang
et
al.
(2012)
z
1987-1996
1586
725
56
78
Ever
OR=2.2
(1.8-2.8)
Former
OR=1.7
(1.3-2.1)
Current
OR=3.2
(2.5-4.1)
Zheng
et
al.
(2012)
z
2006-2010
765
1651
58
100
Ever
OR=2.0
y
Former
OR=1.2
(0.9-1.7)
Current
OR=2.1
(1.7-2.6)
Ferreccio
et
al.
(2013)
2007-2010
232
640
NR
69
Ever
OR=1.6
(1.1-2.2)
Erdurak
et
al.
(2014)
z
2011
173
282
6
8 § ;6
5 kNR
Ever
OR=3.2
y
Former
OR=3.3
(1.8-5.8)
Current
OR=3.0
y
Moura
et
al.
(2014)
1998-2011
4312
26971
NR
5
5 kEver
(male)
OR=3.0
(2.8-3.2)
Ever
(female)
OR=3.0
(2.6-3.4)
Welty
et
al.
(2014)
z
2000-2008
378
76055
NR
48
Ever
OR=2.8
y
Former
HR=2.0
(1.6-2.6)
Current
HR=3.8
(2.7-5.4)
Wu
et
al.
(2014)
2002-2009
261
672
61
67
Ever
OR=2.3
(1.6-3.3)
NR=not
reported; OR=odds
ratio; HR=hazard
ratio.
*
All
risk
estimates
are
relative
to
never
smokers.
y
Calculated
based
on
available
raw
data.
z
Refer
to
full
text
for
smoking
quantity
and
duration
data.
§
Applies
to
cases
only.
k
Applies
to
controls
only.
E U R O P E A N
U R O L O G Y
F O C U S
1
( 2 0 1 5
)
1 7 – 2 7
20




