Observational Study
Copyright ©2014 Baishideng Publishing Group Inc.
World J Gastroenterol. Nov 14, 2014; 20(42): 15805-15814
Published online Nov 14, 2014. doi: 10.3748/wjg.v20.i42.15805
Table 1 Priorities and weights of performance measures for colorectal cancer using the analytic hierarchy process method
CategoryMeasureDescriptionGlobal priority1Weight2
Cohort 1Cohort 2Cohort 3
Pre-treatment (PT)PT1CRC patients with pre-operative chest X-ray and abdominal ultrasound, CT scan, or MRI0.1440.2130.1930.213
PT2Early stage of CRC0.1040.1540.1400.154
Treatment (T)T1CRC patients with history of surgical resection that were checked by colonoscopy or barium enema LGI series with sigmoidoscopy within six months peri-operatively0.0300.0440.0400.044
T2Patients with non-metastatic CRC offered curative resection or neoadjuvant therapy within six weeks of diagnosis0.0570.0840.0770.084
T3Patients with stage I to III CRC who underwent wide surgical resection with a “negative margin”0.1330.1970.1790.197
T4CRC patients who underwent surgery with pathology reports on tumor and node stage0.1160.1720.1560.172
T5Patients with stage I to III CRC with twelve or more lymph nodes examined in pathology reports0.0920.1360.1240.136
T6Patients (< 70 yr) with stage III CRC who received chemotherapy within eight weeks after surgery0.0690.093
Follow-up (F)3F1CRC patients (stages I–III) survived after five post-operative years0.101
F2RC patients (stages I–III) experienced no local recurrence after five post-operative years0.082
F3CRC patients expired within 30 d after surgery0.073
Sum of priorities (or weights)1.00141.0001.0001.000
Table 2 Characteristics of patients undergoing colectomy for colorectal adenocarcinoma n (%)
ParameterCohort 1Cohort 2Cohort 3
(n = 1164)(n = 790)(n = 1318)
Age (yr)66.8 ± 13.165.4 ± 13.664.3 ± 12.8
Sex (M/F)656 (56.4)/431 (54.6)/781 (59.3)/
508 (43.6)359 (45.4)537 (40.7)
Location
Rectum--1318 (100)
Rectosigmoid junction124 (10.7)88 (11.1)-
Sigmoid440 (37.8)313 (39.6)-
Descending124 (10.7)72 (9.1)-
Splenic flexure35 (3.0)17 (2.2)-
Transverse107 (9.2)70 (8.9)-
Hepatic flexure47 (4.0)38 (4.8)-
Ascending173 (14.9)118 (14.9)-
Cecum and appendix77 (6.6)44 (5.6)-
Overlapping12 (1.0)7 (0.9)-
Unspecified25 (2.1)23 (2.9)-
Comorbidity
CCI (0 or 1)63 (5.4)26 (3.3)73 (5.5)
CCI (2)659 (56.6)103 (25.7)531 (40.3)
(> 3)442 (37.9)661 (71.0)714 (54.2)
Grade
Well differentiated102 (8.8)46 (5.8)101 (7.7)
Moderately differentiated937 (80.5)640 (81.0)1072 (81.3)
Poorly differentiated61 (5.2)87 (11.0)89 (6.8)
Un-differentiated1 (0.1)-1 (0.1)
Unspecified63 (5.4)17 (2.2)55 (4.2)
Staging (p)
Stage I295 (25.3)-311 (23.6)
Stage II869 (74.7)-459 (34.8)
Stage III-790 (100.0)548 (41.6)
pT1133 (11.4)15 (1.9)107 (8.1)
pT2164 (14.1)37 (4.7)287 (21.8)
pT3694 (59.6)574 (72.7)719 (54.6)
pT4162 (13.9)158 (20.0)198 (15.0)
Unspecified11 (0.9)6 (0.8)7 (0.5)
pN01164 (100)-767 (58.2)
pN1-505 (63.9)299 (22.7)
pN2-280 (35.4)246 (18.7)
Unspecified-5 (0.6)6 (0.5)
Lymph node examination17.7 ± 12.619.3 ± 13.915.4 ± 10.0
Chemotherapy (yes)306 (26.3)600 (75.9)654 (49.6)
Radiotherapy (yes)23 (2.0)32 (4.1)308 (23.4)
Follow-up months (range)57.1 ± 20.151.3 ± 23.254.7 ± 21.3
(0-84.0)(0.1-84.0)(0-83.8)
Five-year survival rate87.17388.7
Table 3 Composite performance scores (mean, range) calculated by different methods
CohortAll-or-none70% standardEqual weightAHPPCA
10.07 ± 0.260.78 ± 0.420.74 ± 0.140.78 ± 0.140 ± 1.00
(0.00-1.00)(0.00-1.00)(0.29-1.00)(0.22-1.00)(-6.44-1.04)
2NA0.68 ± 0.470.73 ± 0.120.73 ± 0.120 ± 1.00
NA(0.00-1.00)(0.25-0.88)(0.27-0.86)(-2.03-1.23)
30.05 ± 0.210.76 ± 0.430.73 ± 0.140.77 ± 0.130 ± 1.00
(0.00-1.00)(0.00-1.00)(0.14-1.00)(0.19-1.00)(-13.13-0.59)
Table 4 Correlation matrix of composite performance scores calculated by different methods
CohortMethodAll-or-none70% standardEqual weightAHPPCA
1All-or-none1
70% standard0.149b1
Equal weight0.500b0.784b1
AHP0.476b0.710b0.918b1
PCA0.288b0.664b0.819b0.853b1
2All-or-noneNA
70% standardNA1
Equal weightNA0.843b1
AHPNA0.753b0.891b1
PCANA0.436b0.502b0.823b1
3All-or-none1
70% standard0.125b1
Equal weight0.429b0.794b1
AHP0.416b0.700b0.904b1
PCA0.071b0.407b0.484b0.419b1
Table 5 Associations between composite performance score and five-year survival by multivariate Cox proportional hazards model
CohortSurvivalMethod
All-or-none
70% standard
Equal weight
AHP
PCA
HR95%CIP valueHR95%CIP valueHR95%CIP valueHR95%CIP valueHR95%CIP value
1OS0.880.45-1.73NS0.760.59-0.980.0320.320.14-0.740.0070.320.14-0.730.0070.850.78-0.92< 0.001
DSS0.930.40-2.20NS0.690.52-0.910.0090.300.12-0.790.0140.280.11-0.700.0060.850.77-0.950.002
DFS0.930.49-1.80NS0.780.61-1.010.0570.400.17-0.920.0310.360.16-0.800.0130.870.79-0.950.002
2OSNA0.920.73-1.17NS0.420.16-1.08NS0.390.15-0.980.0450.920.83-1.03NS
DSSNA0.880.69-1.13NS0.350.13-0.940.0380.310.12-0.810.0170.900.81-1.01NS
DFSNA0.960.76-1.21NS0.480.19-1.23NS0.470.19-1.18NS0.950.83-1.03NS
3OS1.070.54-2.13NS0.930.75-1.16NS0.070.34-1.46NS0.720.35-1.49NS0.980.89-1.08NS
DSS1.330.60-2.92NS0.90.81-1.01NS0.610.28-1.34NS0.660.30-1.43NS1.000.89-1.11NS
DFS1.130.58-2.19NS0.950.75-1.16NS0.730.35-1.50NS0.760.37-1.55NS0.990.90-1.08NS
Table 6 Model fit analysis of Akaike’s information criterion values calculated by different methods
CohortSurvivalMethod
All-or-none70% standardEqual weightAHPPCA
1OS12.8198.5446.0025.8950
DSS8.8232.4123.0471.6910
DFS9.4066.0234.9213.4340
2OSNA14.65511.91411.2050
DSSNA4.5931.36302.520
DFSNA2.3850.24601.605
3OS0.8430.48300.1050.750
DSS1.0530.38000.4211.507
DFS0.6170.54300.1770.659