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. 2018 Mar 29;118(10):1399–1405. doi: 10.1038/s41416-018-0071-4

Table 1.

Baseline characteristics before and after propensity score matching by multidisciplinary assessment group

Before matching After matching
RadOnc (n = 7079) Urologist alone (n = 9587) standardised difference RadOnc (n = 5708) Urologist alone (n = 5708) standardised difference
Demographics
Age (median, IQR) 67 (62–73) 65 (59–71) 0.22 67 (61–72) 66 (61–72) 0.01
Index year (n, %) 0.07 0.00
2010 2150 (30.4) 3038 (31.7) 1806 (31.6) 1806 (31.6)
2011 2506 (35.4) 3484 (36.3) 2065 (36.2) 2065 (36.2)
2012 1699 (24.0) 2321 (24.2) 1377 (24.1) 1377 (24.1)
2013 724 (10.2) 744 (7.8) 460 (8.1) 460 (8.1)
Income quintile (n, %) 0.03 0.00
1 (lowest) 985 (14.3) 1449 (15.1) 852 (14.9) 852 (14.9)
2 1234 (17.7) 1755 (18.3) 1034 (18.1) 1034 (18.1)
3 1383 (19.5) 1876 (19.6) 1086 (19.0) 1086 (19.0)
4 1619 (22.5) 2124 (22.2) 1271 (22.3) 1271 (22.3)
5 (highest) 1832 (25.6) 2353 (24.5) 1465 (25.7) 1465 (25.7)
Missing 26 (0.4) 30 (0.3) 0 0
Geographic region (n, %) 0.08 0.01
Region 1 333 (4.7) 425 (4.4) 281 (4.9) 287 (5.0)
Region 2 605 (8.5) 822 (8.6) 518 (9.1) 528 (9.3)
Region 3 254 (3.6) 542 (5.7) 217 (3.8) 224 (3.9)
Region 4 824 (11.6) 1348 (14.1) 725 (12.7) 696 (12.2)
Region 5 298 (4.2) 521 (5.4) 259 (4.5) 263 (4.6)
Region 6 481 (6.8) 825 (8.6) 421 (7.4) 431 (7.6)
Region 7 465 (6.6) 679 (7.1) 410 (7.2) 406 (7.1)
Region 8 911 (12.9) 1103 (11.5) 755 (13.2) 733 (12.8)
Region 9 783 (11.1) 1213 (12.7) 689 (12.1) 726 (12.7)
Region 10 322 (4.5) 390 (4.1) 274 (4.8) 260 (4.6)
Region 11 1045 (14.8) 713 (7.4) 560 (9.8) 528 (9.3)
Region 12 257 (3.6) 424 (4.4) 224 (3.9) 231 (4.0)
Region 13 339 (4.8) 476 (5.0) 299 (5.2) 315 (5.5)
Region 14 154 (2.2) 100 (1.0) 76 (1.3) 80 (1.4)
Tumour-related factors
Prostate cancer risk (n, %) 0.31 0.00
Low risk 1029 (14.5) 2591 (27.0) 909 (15.9) 909 (15.9)
Not low risk 6050 (85.5) 6996 (73.0) 4799 (84.1) 4799 (84.1)
Serum PSA level
Median (ng/mL) (IQR) 7 (5-11) 6 (5–9) 0.27 7 (5-11) 7 (5-10) 0.16
Categorical 0.21 0.11
 <10 ng/mL 4957 (70.0) 7583 (79.1) 4066 (71.2) 4334 (75.9)
 ≥10 ng/mL 2122 (30.0) 2004 (20.9) 1642 (28.8) 1374 (24.1)
Gleason score (n, %) 0.35 0.18
≤6 1892 (26.7) 4717 (49.2) 1619 (28.4) 2331 (40.8)
7 3810 (53.8) 3934 (41.0) 3046 (53.4) 2714 (47.5)
≥8 1377 (19.5) 936 (9.8) 1043 (18.3) 663 (11.6)
Stage (n, %) 0.29 0.10
1 1069 (15.1) 2731 (28.5) 943 (16.5) 1002 (17.6)
2 5092 (71.9) 5410 (56.4) 4028 (70.6) 3734 (65.4)
3 918 (13.0) 1446 (15.1) 737 (12.9) 972 (17.0)
General medical care
Number of GP visits in year prior to diagnosis (median, IQR) 5 (3–9) 5 (3–9) 0.06 5 (3–9) 5 (3–9) 0.00
hospitalisation in year prior to diagnosis (n, %) 463 (6.5) 617 (6.4) 0.00 347 (6.1) 346 (6.1) 0.00
Ever resident of long-term care prior to diagnosis (n, %) 6 (0.1) 12 (0.3) 0.01 <5 <5 0.01
Comorbidity
RUB score (n, %) 0.02 0.01
0 <5 <5 0 <5
1 <5 2–6 <5 <5
2 250 (3.5) 403 (4.2) 215–219 205 (3.6)
3 4455 (62.9) 6162 (64.3) 3678 (64.4) 3673 (64.3)
4 1574 (22.2) 1997 (20.8) 1207 (21.1) 1232 (21.6)
5 796 (11.2) 1018 (10.6) 603 (10.6) 594 (10.4)
Diabetes diagnosis (n, %) 1680 (23.7) 2055 (21.4) 0.05 1287 (22.5) 1303 (22.8) 0.01
MI in 5 years prior (n, %) 94 (1.3) 104 (1.1) 0.02 67 (1.2) 62 (1.1) 0.01
CVA in 5 years prior (n, %) 38 (0.5) 25 (0.3) 0.04 17 (0.3) 12 (0.2) 0.02
History of CHF (n, %) 302 (4.3) 365 (3.8) 0.02 230 (4.0) 214 (3.7) 0.01
History of COPD (n, %) 1072 (15.1) 1359 (14.2) 0.03 836 (14.6) 827 (14.5) 0.00
History of hypertension (n, %) 4287 (60.6) 5481 (57.2) 0.07 3372 (59.1) 3432 (60.1) 0.02
History of arrhythmia (n, %) 52 (0.7) 57 (0.6) 0.02 38 (0.7) 38 (0.7) 0.00
History of dementia (n, %) 105 (1.5) 171 (1.8) 0.02 70 (1.2) 76 (1.3) 0.01
History of liver disease (n, %) 23 (0.3) 38 (0.4) 0.01 20 (0.4) 21 (0.4) 0.00
History of renal disease (n, %) 175 (2.5) 248 (2.6) 0.01 137 (2.4) 130 (2.3) 0.01

Note: in order to comply with ICES privacy regulations, cell sizes smaller than 5 were suppressed. Where cells <5 would be calculable, the next smallest cell in the category was also suppressed. Note: Socioeconomic status was assessed using a standardised technique based on the income quintile of the patient’s neighborhood of residence. Geographic region was characterised using local health integration networks (LHINs), regions that plan and deliver health-care resources and thus affect a patient’s access to care20

GP general practitioner, RUB resource utilisation band, a measure of comorbidity derived from the Johns Hopkins ADG system, MI myocardial infarction, CVA cerebrovascular accident, CHF congestive heart failure, COPD chronic obstructive pulmonary disease