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©The Author(s) 2024.
World J Gastrointest Oncol. Oct 15, 2024; 16(10): 4104-4114
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4104
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4104
Table 2 Univariate and multivariate analyses of overall survival in the training set
Variable | Univariate analysis | Multivariate analysis | ||||
HR | 95%CI | P value | HR | 95%CI | P value | |
Sex | ||||||
Female | 0.911 | 0.448-1.853 | 0.796 | |||
Age (years) | 1.070 | 0.879-1.303 | 0.498 | |||
Tumor_location | ||||||
Transverse colon | 0.929 | 0.274-3.155 | 0.906 | |||
Descending colon | 0.931 | 0.274-3.162 | 0.909 | |||
Sigmoid colon | 0.638 | 0.286-1.421 | 0.271 | |||
Length | 1.035 | 0.924-1.160 | 0.556 | |||
rT | 3.428 | 1.690-6.954 | < 0.001b | |||
Thickness | 1.124 | 0.943-1.341 | 0.191 | |||
ctLNM | ||||||
(+) | 4.165 | 2.082-8.333 | < 0.001b | 3.439 | 1.698-6.963 | < 0.001b |
ctEMVI | ||||||
(+) | 3.541 | 1.684-7.446 | < 0.001b | |||
pT | 2.702 | 1.454-5.021 | 0.002a | |||
pN | 3.016 | 1.975-4.606 | < 0.001b | |||
MLN_number | 2.106 | 1.583-2.802 | < 0.001b | |||
MLN_partition | 1.738 | 1.267-2.385 | < 0.001b | |||
LVI | ||||||
(+) | 2.204 | 1.113-4.366 | 0.023a | |||
Vessel | ||||||
(+) | 2.251 | 1.136-4.459 | 0.020a | |||
Perineural | ||||||
(+) | 5.224 | 2.619-10.420 | < 0.001b | 4.341 | 2.129-8.849 | < 0.001b |
Tumor classification | 0.466 | 0.323-0.671 | < 0.001b | 0.450 | 0.300-0.675 | < 0.001b |
N | 0.936 | 0.869-1.008 | ||||
A | 0.978 | 0.950-1.006 | ||||
V | 1.005 | 0.978-1.033 | ||||
AER | 0.637 | 0.199-2.041 | ||||
VER | 2.601 | 0.946-7.152 |
- Citation: Hu ZX, Li Y, Yang X, Li YX, He YY, Niu XH, Nie TT, Guo XF, Yuan ZL. Constructing a nomogram to predict overall survival of colon cancer based on computed tomography characteristics and clinicopathological factors. World J Gastrointest Oncol 2024; 16(10): 4104-4114
- URL: https://www.wjgnet.com/1948-5204/full/v16/i10/4104.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i10.4104