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1.

Introduction

Urothelial bladder

cancer

(UBC)

is

the

fifth most

common

cancer

in

Western

societies,

accounting

for

10

000,

69

000,

and

180

000

new

cases

per

year

in

the

UK,

USA,

and

EU,

respectively

[1]

.

The

global

incidence

of

UBC

is

rising,

reflecting

patterns

of

cigarette

smoking

and

occupational

carcinogen

exposure

[2]

,

the

most

common

aetiological

factors

[1]

.

There

has

been

little

improvement

in

the

outcome

for

UBC

patients

since

the

1980s,

reflecting

complex

diagnostic

pathways

and

treatment

regimens

and

a

lack

of

therapeutic

advances

[3]

.

Given

these

constraints,

much

attention

has

been

paid

to

reducing delays

in presentation

[4]

, diagnosis,

and

treatment

[5]

.

For

UBC

the

relationship

between

time

to

diagnosis

and

treatment,

and

disease-specific

survival

is

complex

[6–9]

; many

tumours

are

indolent,

for which

a

delay

in

diagnosis

does

not

alter

survival

[10]

,

and

outcomes

for

aggressive

UBCs

are

multifactorial

[6–9]

.

In

addition

to

delays

in health

care

pathways,

disease

biology

(reflected

by

stage,

grade,

and

tumour

characteristics

[11,12] )

and

patient-specific

factors

are

important.

The

latter

reflect

aetiological

exposure

to

agents

(eg,

smoking

is

more

common

in

males)

[9,13,14] ,

gender-specific mis-

diagnoses

(eg,

females

are more

likely

to

be

incorrectly

diagnosed

with

infection

[15] ) [1,16,17] ,

and

potential

differences

in

the

molecular

pathogenesis

of

male

and

female

UBC

[18] .

To

obtain

a

clearer

understanding

of

factors

affecting

outcomes

in

UBC,

we

have

followed

a

large

cohort

of

prospectively

recruited patients

since 1991

[9]

. This popula-

tion

represents

85%

of

new

cases

of

UBC

arising

over

an

18-mo

period within

the West Midlands

region

of

the

UK

[9]

. Here we

report

long-term outcomes and

investigate

the

influence

of

gender,

carcinogen

exposure,

and

pathway

delays

for

this

cohort.

2.

Patients

and methods

2.1.

Patients

Patients

newly

diagnosed

with

UBC

within

the West

Midlands

(UK)

were prospectively

recruited between

January 1, 1991 and

June 30, 1992

[9]

. Data

regarding

exposures,

date

of

symptom

onset,

first

referral

by

general practitioner

(GP), first hospital appointment, and first

treatment

(date

of

transurethral

resection

of

bladder

tumour

[TURBT])

were

collected

at

recruitment.

Data

were

checked

to

ensure

that

TNM

classification correlated with histopathology and bimanual examination

findings.

Discrepancies

were

resolved

by

the

investigators

and

the

operating

consultant.

All

patients were

notified

to

the West Midlands’

cancer

registry, who

provided

death

information

at

the

censor

date

of

December 31, 2010. Ethics

committee

approval was

received before

the

study was opened. Ex-smokers were defined as

those who had abstained

for

>

12 mo.

Occupational

exposure was

identified

by

three

assessors

(

>

90%

consensus)

using

International

Agency

for

Research

on

Cancer

contemporary

evidence

to

assign no

risk, possible

risk,

and definite

risk

of

working

in

an

occupation

implicated

in

the

pathogenesis

of

UBC

(Supplementary

Table

1)

[19]

.

2.2.

Pathway measures

Pathway

times were

defined

as

follows:

Time 1:

from date

of

onset

of

symptoms

to date

of

first GP

referral

to

secondary

care.

Time 2:

from date of

first GP

referral

to

secondary

care

to date of

first

hospital

attendance

for

urological

assessment.

Time 3:

from date of

first hospital attendance

to date of

first

treatment

by

TURBT.

Hospital delay was

calculated

as

the

sum

of

times 2

and 3,

and

total

delay

as

the

sum

of

all

three

time

periods.

2.3.

Statistical methods

All

statistical

analyses were

performed

using

Stata

11.2

(StataCorp

LP,

College

Station,

TX,

USA)

and

R

version

2.13.2

(The

R

Foundation

for

Statistical

Computing,

http://www.R-project.org

).

Associations

between

patient or

tumour

features

and median delay

times were

analysed using

the Pearson

x

2

test

for

categorical data

and

the Mann-Whitney

U

test

for

continuous data.Survivalwascalculated fromthedate offirst TURBTtothe

date

of

death

or

the

censor

date

of December

31,

2010,

using

all-cause

mortality.

Survival

curves

for

each

stage

(Ta, T1, T2–4) were

constructed

using

the Kaplan-Meier method, and outcomes were

compared between

groups using

the

log-rank

test. We estimated

relative survival

to calculate

the

crude

probability

of

death

in

the

general

population

compared

to

patients diagnosed with pTa

tumours according

to

the user-written Stata

command

strs

, matched

for

age

at

diagnosis,

sex,

and

year

of

diagnosis

[20]

.

Probabilities

were

calculated

according

to

the

Ederer

II method.

Survival was

compared

in

terms

of demographic

and

tumour

character-

istics

and

delay

times. A

stratified

survival

analysis was

used

to

test

for

differences within

delay

times

adjusted

for

tumour

stage

and

to

test

for

smoking status adjusted for delay times. Cox proportional-hazardsmodels

using

a

complete

case

approach

were

applied

to

investigate

the

independent

effect

of

age,

sex,

smoking

status,

haematuria,

and

tumour

stage,

grade,

type,

size,

and number. We

tested

the proportional hazards

assumption

of

the

models

by

examining

the

Schoenfeld

and

scaled

Schoenfeld

residuals;

in

each

test,

the

proportional

hazards

assumption

wasmet.

In addition, we evaluated the model fit using Cox-Snell residuals,

which

confirmed

that

the models

fit

the

data well.

This

yielded

a

base

model

that was used

to

adjust

the

effects

of

each delay.

To assess competing risks of death, we first used a nonparametric

test

to

assess

the

equality

between

groups

by

calculating

the

cumulative

incidence

function

(CIF)

as

described

by

Scrucca

et

al

[21]

.

Specific CIFs

were

compared

using

the Gray

test

[22]

(Supplementary methods).

3.

Results

3.1.

Cohort

description

In

total,

1537

patients

were

enrolled

into

the

study

and

reliable

long-term

survival

data

were

available

for

1478

participants

(96.2%;

Table 1 )

.

The

cohort

was

typical

for

UBC, with

a male/female

ratio

of

3:1

and

a median

age

at

diagnosis

of

69

yr

(interquartile

range

[IQR]

62–76

yr)

for

male

and

71

yr

(IQR

64–78

yr)

for

female

patients. A

large

proportion

of

patients

(973,

77%) were

current

or

former

cigarette

smokers,

and

330

(27%)

patients were

classified

as

having

possible

or

definite

exposure

to

occupational

carcinogens.

As

detailed

previously,

patients were

treated

by

contemporaneous

standard

practice

(which

did

not

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

)

8 2 – 8 9

83