Table of Contents Table of Contents
Previous Page  45 148 Next Page
Information
Show Menu
Previous Page 45 148 Next Page
Page Background

regimens, most often defined elderly patients as patients aged

75 yr instead of 70 yr, reflecting the inclusion of an even

older population in these trials.

Our systematic review suggests that OS decreases in

elderly patients and worsens for patients aged

>

80 yr, as

expected. A shorter life expectancy due to an impaired

health status accounts for this finding. The level of frailty,

determined by dependency, comorbidities and nutrition

status, as well as impaired renal function, which is on its

own associated with reduced survival

[50] ,

defines the

health status of elderly MIBC patients. Unfortunately, only a

few articles included in this systematic review gave detailed

information on either comorbidities or renal function

(Supplementary Table 2).

For elderly patients and in particular, patients aged

>

80

yr, life expectancy has to be weighted against the potential

harms and benefits from a curative treatment for each

patient individually. Existing life tables can be used to help

us to define the expected years of life at separate ages

[51]

. Equally important is estimating the risk of dying of

MIBC. After a curative treatment, the prognosis of patients

with MIBC is reserved. But, when left untreated, the median

OS of patients with T3 MIBC is

<

1 yr

[52]

. Even when

stratifying for Charlson comorbidity index group, curative

treatments, either RC or chemoradiation therapy, provide a

clear survival benefit compared with nonstandard treat-

ments

[53]

. The balance of dying from MIBC versus other

causes of death most often thus advocates treatment, even

in the elderly patients. A systematic use of some form of

geriatric assessments may allow physicians to select

appropriate candidates for curative treatments.

Ideally, all older cancer patients should be evaluated by a

GA followed by interventions and follow-up

[3] .

This GA has

proven to be independently associated with changes in

cancer treatment

[54]

. Nowadays, there is no standard GA

model. Thus, the prevalence of being frail and/or at risk may

vary largely within a well-defined cohort depending on the

questionnaires and definitions used. Moreover, this ap-

proach is resource consuming and not necessary in all

patients. Therefore, the use of a screening tool has been

proposed to identify patients in need of GA and multidisci-

plinary approach. If abnormal, screening should be followed

by GA and guided multidisciplinary interventions. At this

time, no specific screening tool can be recommended or

Table 3 – Reported estimates of cancer specific survival rates per age group and per study. The studies in grey represent the studies where a

significant difference was observed between younger and older patients

60

-

64

<60

65

69

70

74

75

79

80

84

≥85

Trasher et al [26] 1994

NR

531

<0.001

Yamanaka et al [27] 2007

2

-

year

629

0.001

Horovitz et al [6] 2012

3

-

year

605

70% (

N

= 165)

0.4

2

-

year

5

-

year

1

-

year

2

-

year

5

-

year

10

-

year

3

-

year

79% (

N

= 240)

7

-

year

70%

10

-

year

64%

Guillotreau et al [11] 2012

5

-

year

146

0.7

Madersbacher et al [29] 2010

5

-

year

845

61% (

N

= 517) 60% (

N

= 269)

0.01

Leveridge et al [15] 2015

5

-

year

3320

37% (

N

= 674) 34% (

N

= 627)

<0.001

Fairey et al [16] 2012

5

-

year

2263

66% (

N

= 557)

0.0014

Patel et al [17] 2015

5

-

year

804

70% (

N

= 150)

<0.001

Donat et al [30] 2010

5

-

year

1142

NS

60

-

64

<60

65

-

69

70

-

74

75

-

79

80

-

84

>/=85

Mak et al [32] 2014

5

-

year

467

0.84

Fossa et al [33] 1993

5

-

year

308

0.01

Rink et al [8] 2011

390

Liberman et al [9] 2011 a

12722

Nielsen et al [28] 2007

888

N

Author

0.0331

51%

78% (

N

= 265)

76% (N=125)

0.22

57%

68%

89% (

N

= 6803)

84% (

N

= 4480)

75% (

N

= 1439)

<0.001

60%

72%

78%

50%

42% (

N

= 1362)

32% (

N

= 657)

49%

53%

54%

43%

55%

60%

46% (

N

= 59)

NR

68% (

N

= 272)

50% (

N

= 259)

N

Author

p

-

value

25% (

N

= 1025)

26% (

N

= 117)

Reported

measure unit

Trials with Radiotherapy

69% (

N

= 846)

52% (

N

= 181)

65% (

N

= 245)

58% (

N

= 339)

42% (

N

= 70)

60%

65%

70%(

N

=557)

46% (

N

= 72)

70% (

N

= 192)

65% (

N

= 201)

60% (

N

= 47)

Cancer specific survival

26% (

N

= 217)

19% (

N

= 91)

Trials with Radical cystectomy

p

-

value

70% (

N

= 387)

71% (

N

= 80)

72% (

N

= 331)

70% (

N

= 266)

65% (

N

= 51)

58%

55%

63%

59%

69% (

N

= 679)

Reported

measure unit

a

Studies based on Surveillance, Epidemiology, and End Results registries.

NR = not reported; NS = not significant.

E U R O P E A N U R O L O G Y 7 3 ( 2 0 1 8 ) 4 0 – 5 0

45