www.monash.edu.au Prostate Cancer Registry: an update Sue Evans on behalf of the PCR Steering Committee Registry Special Interest Group 10 August 2012
www.monash.edu.au
Prostate Cancer Registry: an update Sue Evans on behalf of the PCR Steering Committee
Registry Special Interest Group 10 August 2012
www.monash.edu.au 2
Acknowledgements
• PCR Project coordinators – Julie Wood (metro) – Joanne Dean (regional) – Susan McKenna (follow up)
• PCR Project officers – Joannie McPhee (Cabrini/Gippsland) – Fanny Sampurno (CAPTIV project officer) – Dina Farjou (Epworth) – Lisa Selbie (PMc) – Christine Sherwell (Barwon)
• Research assistants and follow up staff – Nathan, Prishanti, Anna, Katherine, Diana, Melissa
www.monash.edu.au 3
Five year survival after CaP diagnosis
www.monash.edu.au 4
PCR goals
• To provide information on patterns of care following diagnosis of prostate cancer
• To monitor quality of care for men diagnosed with prostate cancer
• To provide a platform for further research of prostate cancer
www.monash.edu.au 5
Minimum dataset
Cancer Council Medical Records Patient
Demographic information -name, DOB, UR number
Patient’s Medicare number, address, phone number, e-mail address, preferred language
Confirmation of treatment
Next of Kin Details General health QoL
PSA levels including before subsequent treatments
Disease-specific QoL
Pathology Results - Gleason, TMN stage, date of biopsy
Clinical TMN staging
Post surgery biopsy results Treatment details - Provider details - Radiotherapy - Surgery - Androgen Deprivation - Chemotherapy
www.monash.edu.au 6
PCR: site recruitment
• 33 sites across Victoria
• 85% capture of newly diagnosed cases of CaP yellow
• 100% opt in by clinicians in recruited hospitals
www.monash.edu.au 7
PCR: patient recruitment to July 2012
• Collecting data since late 2009 • 6573 notifications imported • 1224 ineligible • 5312 letters sent • Opt off rate 1.69%
www.monash.edu.au 8
PCR results to March 2011 (with follow up to March 2012)
Prostate cancer notifications assessed for
eligibility (n=3268)
Assessed as eligible (n=2794)
Treatment data collected (n=2729
LOSS TO FOLLOW UP (n=709 or 25.4% of eligible population)
EXCLUDED DUE TO INELIGIBLITY (n=474)
12 month follow up (n=2033)*
OPT OFF (n=52 or 1.9% of eligible population)
Patient recruited (n=2742)
MEDICAL RECORDS UNAVAILABLE (n=13 or 0.5% of eligible population)
• 15% ineligible • 62% diagnosed prior to site
commencement date • 23% diagnosed at non-
recruiting hospital • 6% not pathologically
confirmed CaP • 5% delay in getting consent
from clinician • 3% died prior to recruitment
www.monash.edu.au 9
PCR results to March 2011 (with follow up to March 2012)
Prostate cancer notifications assessed for
eligibility (n=3268)
Assessed as eligible (n=2794)
Treatment data collected (n=2729
LOSS TO FOLLOW UP (n=709 or 25.4% of eligible population)
EXCLUDED DUE TO INELIGIBLITY (n=474)
12 month follow up (n=2033)*
OPT OFF (n=52 or 1.9% of eligible population)
Patient recruited (n=2742)
MEDICAL RECORDS UNAVAILABLE (n=13 or 0.5% of eligible population)
• 25% LTFU at 12 months • 9% delay in notification from
hospital • 5% unable to contact • 4% non-English speaking • 3% diagnosed at non-
recruiting hospital (RT) • 2% not interested (data
retained for 100% of pts) • 2% dementia/hearing
impaired/ too unwell
www.monash.edu.au 10
Characteristics of patients
Characteristics Value
Hospital Public
Metropolitan
1383 (50.6%) 2647 (96.55%)
Age at diagnosis <55 yrs
55-<65yrs 65- <75yrs 75- <85yrs
85+
288 (10.5%) 967 (35.3%) 1055 (38.5%) 367 (13.3%) 64 (2.3%)
PSA level at diagnosis ≤10ng/mL
10.1-20ng/mL >20ng/mL
Not assessed
1856 (67.7%) 423 (15.5%) 279 (10.2%) 184 (6.7%)
Mean age = 62y
Median PSA 6.8
www.monash.edu.au 11
Characteristics Patients by NCCN risk of disease progression category (n=2742)
74
93
35
591
1190
769
0 200 400 600 800 1000 1200 1400
TBD
Metastatic disease
Locally advanced: very high risk
Clinically localised: high risk
Clinically localised: intermediate risk
Clinically localised: low risk
94%
www.monash.edu.au 12
Treatment Management Clinically localised disease Locally
advanced
disease
Metastatic
disease
TBD
(likely
low risk)
TOTAL
Low
risk
Int risk High
risk
Total Very high
risk
No treatment 324 181 66 577 6 5 17 599 (21.8%)
RP (w/out
EBRT)
281 572 167 1,023 2 10 9 1041 (38.0)
RP (with
EBRT)
13 92 55 160 6 2 0 168 (6.1%)
EBRT 44 226 181 453 15 24 6 496 (18.1%)
LDR 94 87 1 183 0 2 1 185 (6.7%)
EBRT+HDR 0 30 42 72 2 0 1 75 (2.7%)
ADT 6 15 85 106 3 49 0 158 (5.7%)
Mono HDR 2 1 1 4 1 0 0 5 (0.2%)
TBD 1 0 1 2 0 1 12 15 (0.5%)
TOTAL 765 1204 599 2580 35 93 46 2742 (100%)
www.monash.edu.au 13
Treatment Management Clinically localised disease Locally
advanced
disease
Metastatic
disease
TBD
(likely
low risk)
TOTAL
Low
risk
Int risk High
risk
Total Very high
risk
No treatment 324 181 66 577 6 5 17 599 (21.8%)
RP (w/out
EBRT)
281 572 167 1,023 2 10 9 1041 (38.0)
RP (with
EBRT)
13 92 55 160 6 2 0 168 (6.1%)
EBRT 44 226 181 453 15 24 6 496 (18.1%)
LDR 94 87 1 183 0 2 1 185 (6.7%)
EBRT+HDR 0 30 42 72 2 0 1 75 (2.7%)
ADT 6 15 85 106 3 49 0 158 (5.7%)
Mono HDR 2 1 1 4 1 0 0 5 (0.2%)
TBD 1 0 1 2 0 1 12 15 (0.5%)
TOTAL 765 1204 599 2580 35 93 46 2742 (100%)
www.monash.edu.au 14
Treatment Management Clinically localised disease Locally
advanced
disease
Metastatic
disease
TBD
(likely
low risk)
TOTAL
Low
risk
Int risk High
risk
Total Very high
risk
No treatment 324 181 66 577 6 5 17 599 (21.8%)
RP (w/out
EBRT)
281 572 167 1,023 2 10 9 1041 (38.0)
RP (with
EBRT)
13 92 55 160 6 2 0 168 (6.1%)
EBRT 44 226 181 453 15 24 6 496 (18.1%)
LDR 94 87 1 183 0 2 1 185 (6.7%)
EBRT+HDR 0 30 42 72 2 0 1 75 (2.7%)
ADT 6 15 85 106 3 49 0 158 (5.7%)
Mono HDR 2 1 1 4 1 0 0 5 (0.2%)
TBD 1 0 1 2 0 1 12 15 (0.5%)
TOTAL 765 1204 599 2580 35 93 46 2742 (100%)
42% of low-risk patients have surveillance
36.7% of low-risk patients have RP
www.monash.edu.au 15
Men with low risk disease are 4 times less likely than their US counterparts1 to receive active treatment 1. Cooperberg et al. JCO 2010.28(7):1117-23
• Never has evidence on patterns of care and appropriateness of treatment been so important
“Never has evidence on patterns of care and appropriateness of testing been so important”
www.monash.edu.au 16
Monitoring patterns of care NCCN risk category at baseline and treatment provided
Data on File: Prostate Cancer Registry 2012
www.monash.edu.au 17
Monitoring patterns of care NCCN risk category at baseline and treatment provided
Data on File: Prostate Cancer Registry 2012
ORP = 69% RARP = 21% LRP = 8%
www.monash.edu.au 18
Patterns of care Open radical prostatectomy in private and public hospitals
ORP Private
N=559 Public N=182
Sig
Age at surgery yrs (SD) 62.4 (6.7) 60.7 years (6.5) P<0.001 Risk category
Low risk disease Intermediate risk disease
High risk disease V High/Advanced disease
127 (22.9) 319 (57.6) 101 (18.2) 7 (1.3)
38 (20.9) 97 (53.3) 42 (23.1) 5 (2.7)
p=0.204
Positive margins present 156/511 (30.5%) 68/177 (38.4%) P=0.054
Urinary bother post diagnosis N(response rate)
Mean score*
439 (79.2%) 75.2 (30.1)
131 (72.0%) 66.6 (31.7)
P=0.001 Sexual bother post diagnosis
N(response rate) Mean score*
439 (79.2%) 36.4 (40.1)
131 (72.0%) 28.5 (37.7)
P=0.001
www.monash.edu.au 19
Patterns of care Open radical prostatectomy in private and public hospitals
ORP Private
N=559 Public N=182
Sig
Age at surgery yrs (SD) 62.4 (6.7) 60.7 years (6.5) P<0.001 Risk category
Low risk disease Intermediate risk disease
High risk disease V High/Advanced disease
127 (22.9) 319 (57.6) 101 (18.2) 7 (1.3)
38 (20.9) 97 (53.3) 42 (23.1) 5 (2.7)
p=0.204
Positive margins present 156/511 (30.5%) 68/177 (38.4%) P=0.054
Urinary bother post diagnosis N(response rate)
Mean score*
439 (79.2%) 75.2 (30.1)
131 (72.0%) 66.6 (31.7)
P=0.001 Sexual bother post diagnosis
N(response rate) Mean score*
439 (79.2%) 36.4 (40.1)
131 (72.0%) 28.5 (37.7)
P=0.001
www.monash.edu.au 20
Patterns of care Open radical prostatectomy in private and public hospitals
ORP Private
N=559 Public N=182
Sig
Age at surgery yrs (SD) 62.4 (6.7) 60.7 years (6.5) P<0.001 Risk category
Low risk disease Intermediate risk disease
High risk disease V High/Advanced disease
127 (22.9) 319 (57.6) 101 (18.2) 7 (1.3)
38 (20.9) 97 (53.3) 42 (23.1) 5 (2.7)
p=0.204
Positive margins present 156/511 (30.5%) 68/177 (38.4%) P=0.054
Urinary bother post diagnosis N(response rate)
Mean score*
439 (79.2%) 75.2 (30.1)
131 (72.0%) 66.6 (31.7)
P=0.001 Sexual bother post diagnosis
N(response rate) Mean score*
439 (79.2%) 36.4 (40.1)
131 (72.0%) 28.5 (37.7)
P=0.001
www.monash.edu.au 21
Change in patterns of care 1993* to 2009-2012
0
5
10
15
20
25
1993 2012
Median PSA at diagnosis (µg/L)
63
64
65
66
67
68
69
70
71
72
73
1993 2012
Median age at diagnosis
*Source: Frydenberg et al MJA 2000; 172:270-274
www.monash.edu.au 22
0%
20%
40%
60%
80%
100%
1993 2012
% localised disease
0%
20%
40%
60%
80%
100%
1993 2012
Diagnosis by screening/TRUS
*Source: Frydenberg et al MJA 2000; 172:270-274
Change in patterns of care 1993* to 2009-2012
www.monash.edu.au 23
• Extrapolating PCR data to statewide-level data there has been a ≈ 7-fold increase in RP from 280 cases in 1993 to 2180 cases in 2010.
•
Change in patterns of care 1993* to 2009-2012
0%
20%
40%
60%
80%
100%
1993 2012
Received curative treatment in first 12 months
www.monash.edu.au 24
0
200
400
600
800
1000
1200
1400
ADT/CT No Rx RP EBRT LDR BT Other BT
1993*
2008-2011
*Source: Frydenberg et al MJA 2000; 172:270-274
Change in patterns of care 1993* to 2009-2012
www.monash.edu.au 25
05
10
15
20
25
excludes outside values excludes outside values
Metro Regional/rural
PS
A_
Dx
Graphs by Metro & Regional hospitals0
51
01
52
02
5excludes outside values excludes outside values
public Private
PS
A_
Dx
Graphs by Public and private
Monitoring patterns of care PSA level at diagnosis: METRO vs RURAL PRIVATE vs PUBLIC
PSA at diagnosis by hospital location metro/regional
PSA at diagnosis by type of hospital (public/ private)
www.monash.edu.au 26
Monitoring quality of care - indicators
• Mortality rate • Positive margins • Documentation of cT stage in medical record • Treatment for men with high risk disease • No treatment for men with very low risk disease • Treatment failure • Biochemical recurrence at 24 months • Quality of life
– SF12, urine, bowel and sexual bother at 12 & 24 months
www.monash.edu.au 27
1 23
45 6
8
0
10
20
30
mor
talit
y ra
te
0 500 1000 1500Number of Cases
Monitoring quality of care Mortality rates according to hospitals
Mortality rate (unadjusted)
www.monash.edu.au 28
Monitoring quality of care Positive margins
1
2
3
6
10
20
30
40
50
% p
ositi
ve m
argi
ns
50 100 150 200 250 300Number of Cases
Positive margins (unadjusted)
12
3
56
80
20
40
60
80
100
% +
ve m
argi
n in
low
risk
gro
up
0 50 100Number of Cases
Positive margins (low risk group)
www.monash.edu.au 29
Monitoring quality of care Positive margins
1
2
3
6
10
20
30
40
50
% p
ositi
ve m
argi
ns
50 100 150 200 250 300Number of Cases
Positive margins (unadjusted)
12
3
4
6
80
20
40
60
80
100
% +
ve m
argi
n in
INTE
RM
ED
IATE
risk
gro
up
0 100 200 300 400Number of Cases
Positive margins (intermediate risk group)
www.monash.edu.au 30
Monitoring quality of care Positive margins
1
2
3
6
10
20
30
40
50
% p
ositi
ve m
argi
ns
50 100 150 200 250 300Number of Cases
Positive margins (unadjusted)
1
2
3
6
0
10
20
30
40
% +
ve m
argi
n in
HIG
H ri
sk g
roup
20 40 60 80 100 120Number of Cases
Positive margins (high risk group)
www.monash.edu.au 31
Monitoring quality of care Sexual BOTHER according to primary treatment approach 12 months post diagnosis
0% 20% 40% 60% 80% 100%
No Rx
ADT/Chemo
LDR
EBRT
RP Big problem
Moderate problem
Very small/Small problem No problem
www.monash.edu.au 32
A platform for further research Current research projects
• Data linkage with biobanks • Radiation treatment regimen for men in high risk group
for disease progression • Delphi approach to prostate-cancer specific clinical
indicators • Survivorship project • Outcomes according to type of RP (robot, lap open) • Distance to treatment for men diagnosed in regional sites • Correlation b/n biopsy and RP Gleason score • Incidence of infection post biopsy • CAPTIV project: Active surveillance project • Movember national registry initiative
www.monash.edu.au 33
Potential for research Linkage of standardised clinical data with tissue
www.monash.edu.au 34
Steering Committee
★ A/Prof Jeremy Millar (Alfred Health / Monash Uni)
★ Prof John McNeil (Monash University)
★ A/Prof Damien Bolton (Austin Health)
★ A/Prof Ian Davis (Monash) ★ Mr Max Shub (Consumer rep) ★ A/Prof Declan Murphy (Peter
Mac, Epworth) ★ Prof Anthony Costello
(Melbourne Health, APCC) ★ A/Prof Mark Frydenberg
(Monash University, Epworth
and Cabrini Health) ★ Prof Albert Frauman (Austin
Health) ★ Prof Graham Giles (Cancer
Council of Victoria) ★ Dr Sue Evans (Monash
University) ★ Mr Paul Kearns (Geelong;
Regional Rep) ★ Ms Linda Nolte (Victorian
Department of Health) ★ Colin O’Brien (consumer rep)
www.monash.edu.au 35
Acknowledgements
• PCR staff (again) • Participating medical staff and their practice
managers/ office personnel
• Funding bodies – PCFA – Cancer Australia – Victorian Department of Health – Australian Prostate Cancer Consortium, Epworth
Healthcare