Observational Study
Copyright ©The Author(s) 2022.
World J Gastrointest Surg. Aug 27, 2022; 14(8): 833-848
Published online Aug 27, 2022. doi: 10.4240/wjgs.v14.i8.833
Table 1 General clinical characteristics of study subjects
Clinical features
Model building
Model validation
CRC (n = 101)
CRP (n = 59)
CRC (n = 62)
CRP (n = 30)
Age
Average58565757
Range29-8131-7633-7435-69
Sex
Male60343719
Female41252511
Location
Ascending colon2117
Descending colon 1512
Transverse colon 34
Sigmoid colon 5928
Rectal 31
Differentiation
Well21 15
Moderate5733
Poorly2314
TNM stage
T11111
T22721
T3447
T419 23
Table 2 Comparison of 51 common clinical indicators between colon polyp group and colorectal cancer group
Index
CRP (n = 59)
CRC (n = 101)
F value
Sig
P value
CEA1.86 (1.17, 2.43)3.9 (1.67, 13.87)11.39 < 0.01 < 0.01
AFP2.58 (1.87, 3.59)2.41 (1.75, 3.36)0.02 0.90 0.41
CA1259.78 (6.77, 13.55)11.63 (7.98, 19.9)4.80 0.03 0.04
CA1998.57 (5.44, 14.38)13.43 (7.22, 26.48)3.62 0.06 0.22
CA1539.5 (7.08, 13.09)9.25 (6.6, 13)1.53 0.22 0.49
CA7241.63 (1.16, 4.39)2.55 (1.36, 7.33)5.54 0.02 0.07
CY2111.82 (1.4, 2.89)2.3 (1.63, 3.58)9.29 < 0.01 < 0.01
Ferr150.9 (85.62, 269.5)72.12 (17.02, 161.5)0.11 0.74 0.01
NSE8.06 (6.52, 9.16)10 (7.71, 12.63)4.58 0.03 < 0.01
SCC1.1 (0.7, 1.5)0.8 (0.6, 1.2)2.96 0.09 0.19
PG I/II4.576 (2.835, 5.914)5.12 (3.7, 6.53)0.10 0.76 0.08
PG II15.9 (9, 28.3)14.6 (9.7, 24.2)1.08 0.30 0.64
PG I75.5 (38.5, 101.3)71.7 (51.45, 96.3)0.49 0.49 0.82
ALT16.8 (12.1, 25)12.7 (9.3, 17.75)0.59 0.44 0.03
AST17.1 (14.1, 20.6)16.6 (12.25, 19.3)0.87 0.35 0.43
TP68.3 (64.1, 71.9)67.3 (63.15, 70.65)0.03 0.86 0.29
ALB41.8 (39.6, 44.4)39.5 (36.95, 41.45)0.63 0.43 0.07
TB12.5 (10, 16.4)9.7 (7.4, 12.8)0.75 0.39 < 0.01
DB4.1 (3.2, 5.2)3.6 (2.3, 4.2)0.05 0.82 0.01
TBA4.2 (2.5, 7.2)3.5 (2.2, 5.7)2.15 0.14 0.11
ALP61.4 (54.8, 73.6)67 (56.4, 80.05)2.38 0.13 0.59
GGT23.6 (13.5, 37.6)22.3 (14.75, 33.95)0.01 0.95 0.98
GLu5.02 (4.79, 5.51)5.12 (4.74, 5.81)0.00 0.97 0.97
UN5.49 (4.64, 6.08)5.23 (4.08, 6.29)5.94 0.02 0.43
Cr70.2 (61.6, 78.6)65.2 (56.35, 75.6)0.22 0.64 0.06
UA312.3 (257.9, 386.9)292.8 (224, 339.4)0.19 0.67 0.06
CHO4.5 (4.04, 5.27)4.36 (3.88, 5.09)2.31 0.13 0.02
TG1.43 (1.01, 2.01)1.25 (0.93, 1.62)7.94 0.01 0.45
CK69.8 (55.5, 118.9)54.4 (35.2, 71.05)15.60 < 0.01 0.04
LDH137 (122.2, 153.3)148.4 (129.75, 177.75)4.13 0.04 < 0.01
CKMB6.6 (4, 9.8)6.14 (4.05, 9.6)1.81 0.18 0.02
Ca2.26 (2.19, 2.31)2.21 (2.14, 2.27)0.10 0.75 0.47
P1.27 (1.14, 1.39)1.25 (1.07, 1.38)0.01 0.93 0.01
Mg0.93 (0.85, 1.01)0.91 (0.84, 0.97)0.01 0.94 0.29
K4.03 (3.78, 4.18)4.09 (3.87, 4.33)4.98 0.03 0.53
Na143.8 (141.6, 145.4)143.1 (141.45, 144.7)0.17 0.68 0.12
Cl105.6 (103.4, 107.2)105.3 (103.5, 107.4)2.08 0.15 0.04
CO222.6 (20.7, 26.1)24.9 (22.9, 26.65)2.31 0.13 0.40
LPa7.83 (3.01, 12.74)15.65 (7.82, 31.65)13.29 < 0.01 0.01
HDL1.27 (1.03, 1.41)1.02 (0.89, 1.23)0.10 0.76 < 0.01
LDL2.63 (2.26, 3.28)2.54 (2.07, 3.27)1.33 0.25 < 0.01
ApoA11.39 (1.17, 1.54)1.13 (1.01, 1.34)0.66 0.42 0.55
ApoB0.83 (0.72, 1.02)0.83 (0.72, 1.01)0.09 0.76 0.62
CYS1.07 (0.95, 1.16)0.97 (0.84, 1.08)0.34 0.56 0.70
SA59.3 (55, 66.5)67.1 (60.8, 82.4)13.50 < 0.01 0.04
HCY15.19 (11.54, 19.68)13.92 (11.18, 17.42)4.71 0.03 < 0.01
CRP0.7 (0.4, 1.5)3.9 (1, 10.55)30.41 < 0.01 0.11
AMY59.5 (50, 73.7)51.8 (38.95, 64.7)1.18 0.28 < 0.01
LPS33.1 (25.1, 42.7)32.9 (22.25, 44.25)2.87 0.09 0.06
SOD136.1 (125, 147)136.5 (115.8, 156.9)4.82 0.03 0.35
IMA63.8 (60.1, 66.3)62.1 (59.45, 67.5)0.11 0.74 < 0.01
NDUFB71.34 (0.94, 2.42)2.10 (1.29, 3.08)2.6660.1050.155
CAMK1D34.21 (17.82, 103.44)70.39 (35.26, 155.57)3.0450.0830.030
PIK3CD105.90 (36.69, 308.35)333.22 (259.40, 417.90)3.7000.0560.001
PSEN26.46 (4.44, 11.03)8.69 (6.00, 11.67)0.1440.7050.154
Table 3 Evaluation of the diagnostic value of 26 commonly used clinical indicators with statistical differences (colon polyp group vs colorectal cancer group)
Indicator
AUC
SE
P value
95% CI
Lower
Upper
IMA0.7870.036< 0.0010.7160.859
CEA0.7340.038< 0.0010.6580.809
SA0.7280.039< 0.0010.6510.804
LPa0.7150.042< 0.0010.6330.797
CK0.7020.042< 0.0010.6190.784
TB0.6720.044< 0.0010.5850.758
HDL0.6700.044< 0.0010.5830.758
NSE0.6680.044< 0.0010.5800.755
ALT0.6670.044< 0.0010.5800.754
Ferr0.6630.0450.0010.5750.751
DB0.6460.0440.0020.5590.733
CA1250.6420.0440.0030.5570.728
LDH0.6210.0450.0110.5340.709
AMY0.6110.0450.0190.5220.700
CY2110.6020.0460.0320.5130.691
CA7240.5830.0460.0810.4920.673
HCY0.5700.0480.1380.4760.664
CHO0.5560.0460.2400.4650.646
P0.5430.0470.3610.4510.636
LDL0.5360.0460.4530.4450.626
Cl0.5250.0470.6030.4320.618
CKMB0.5160.0470.7360.4240.608
CAMK1D0.6520.0460.0010.5610.742
PIK3CD0.7530.047< 0.0010.6600.845
Table 4 Univariate Logistic Regression Analysis between the colon polyp group and the colorectal cancer group with statistically significant between-group and receiver operating characteristic indicators
Indicator
B
SE
Wals
P value
Exp (B)
95% CI
Lower
Upper
CEA0.3350.1385.8640.0151.3981.0661.834
IMA-0.1380.0488.3520.0040.8710.7930.956
SA0.0780.0345.3470.0211.0811.0121.155
LPa0.0850.0279.8440.0021.0891.0321.148
CK-0.0040.0080.2070.6490.9960.9801.013
TB-0.0650.0541.4630.2260.9370.8431.041
HDL-0.9490.8221.3310.2490.3870.0771.941
NSE0.1600.0843.6560.0561.1740.9961.383
CHO-0.0040.0170.0530.8170.9960.9641.029
P0.8861.1040.6440.4222.4260.27921.139
LDL0-.5850.3682.5340.1110.5570.2711.145
Cl0.1120.0861.6820.1951.1190.9441.325
CKMB-0.0250.0570.2020.6530.9750.8721.089
CAMK1D0.0030.0031.1890.2751.0030.9981.009
PIK3CD0.0030.0014.4290.0351.0031.0001.005
Table 5 Multivariate Logistic Regreesion Analysis Exp (B) Indicators with Statistical Differences (Colon polyp group vs colorectal group)
Indicator
B
SE
Wals
P value
Exp (B)
95% CI
Lower
Upper
CEA0.3260.1098.9040.0031.3851.1181.716
IMA-0.1360.03514.765< 0.0010.8730.8150.936
SA0.0920.02711.6010.0011.0971.0401.156
PIK3CD0.0020.0015.8520.0161.0021.0001.004
LPa0.0640.0228.8880.0031.0661.0221.112
Table 6 Multi-parameter combined auxiliary diagnosis model building
Observed
Predicted
CRP
CRC
Correct percentage
Binary logistic regression analysis building
CRP451476.30%
CRC158685.10%
Total percentage 81.90%
Discriminant analysis building
CRP51886.40%
CRC317069.30%
Total percentage 75.60%
Classification tree building
CRP54591.50%
CRC425958.40%
Total percentage 70.60%
Neural network building
CRP31879.50%
CRC26897.10%
Total percentage 90.80%
Neural network validation
CRP18290.00%
CRC42787.10%
Total percentage 88.20%