Table 4

Cancer-specific geriatric assessment (C-SGA) characteristics in the individual site and total study populations
C-SGA characteristics by study site and total population
KSGR KSSG Total population
N = 25 N = 26 N = 51
n (%) P value*
Mean C-SGA score 2.00 ±1.19 2.81 ±0.90 2.4 ±1.12 0.009
C-SGA over cut-off score
 Yes 7 (28) 17 (65) 24 (47) 0.008
 No 18 (72) 9 (35) 27 (53)
C-SGA by domain deficits
Function
 Yes 14 (56) 18 (69) 32 (63) 0.33
 No 11 (44) 8 (31) 19 (37)
Psychosocial
 Yes 1 (4.0) 7 (27) 8 (16) 0.05
 No 24 (96) 19 (73) 43 (16)
Nutrition
 Yes 13 (52) 22 (85) 35 (69) 0.02
 No 12 (48) 4 (15) 16 (31)
Cognition
 Yes 3 (12) 1 (3.9) 4 (7.8) 0.35
 No 22 (88) 25 (96) 47 (92)
Comorbidity
 Yes 19 (76) 25 (96) 44 (86) 0.05
 No 6 (24) 1 (3.9) 7 (14)
C-SGA association with health-related characteristics
Correlation coefficient P value
Age 0.12 0.43
Physician-rated general health 0.39 0.008
Type of treatment −0.38 0.01
Life expectancy −0.32 0.03
WHO performance score 0.63 <0.0001
Health-related characteristics by C-SGA cut-off score
Below C-SGA cut-off score Above C-SGA cut-off score
N = 27 N = 24
n (%) P value#
Age
 65–69 years 8 (30) 5 (21) 0.72
 70–79 years 14 (52) 13 (54)
 80+ years 5 (18) 6 (25)
Physician-rated general health
 Excellent/good 18 (67) 7 (32) 0.007
 Fair 8 (30) 7 (32)
 Poor/very poor 1 (3.7) 8 (36)
Type of treatment
 Curative 12 (44) 3 (13) 0.02
 Palliative 15 (56) 21 (87)
Life expectancy
 <1 year 7 (30) 13 (54) 0.16
 1–2 years 7 (30) 7 (29)
 3+ years 9 (39) 4 (17)
WHO performance score
 0 16 (59) 3 (12) 0.002
 1 7 (26) 11 (46)
 2 4 (15) 10 (42)

C-SGA Cancer-Specific Geriatric Assessment, KSGR Kantonsspital Graubünden KSSG Kantonsspital St. Gallen, SD Standard Deviation, WHO World Health Organization.

* Test of difference between study sites.

# Test of difference between groups by C-SGA cut-off.

Clough-Gorr et al.

Clough-Gorr et al. BMC Medical Informatics and Decision Making 2013 13:93   doi:10.1186/1472-6947-13-93

Open Data