Skip to main content

Table 3 Independent predictors of p53 status by multivariate logistic regression analysis

From: Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning

Variable

Univariate logistic regression

Multivariate logistic regression

OR (95%CI)

P-value

OR (95%CI)

P-value

Sex

0.361 (0.164,0.796)

0.011*

0.359 (0.166,0.776)

0.009*

CRM status

0.672 (0.248, 1.818)

0.434

NA

NA

Mri-EMVI status

2.435 (0.846, 7.01)

0.099

NA

NA

ACI status

0.669 (0.109, 4.099)

0.664

NA

NA

Lymph Node

2.615 (1.114, 6.136)

0.027*

2.42 (1.143,5.121)

0.021*

Tumor stage

0.702 (0.293, 1.682)

0.427

NA

NA

Age

1.005 (0.97, 1.041)

0.788

NA

NA

CEA

1.000 (0.99, 1.011)

0.982

NA

NA

Tumor size

0.976 (0.958, 0.995)

0.012*

0.978 (0.961,0.995)

0.012*

Dis

0.962 (0.871, 1.062)

0.442

NA

NA

Radiomics model score

2.484 (1.104, 11.044)

< 0.001*

1.566 (0.848,2.894)

< 0.001*

  1. Abbreviations: OR, odds ratio; CI, confidence interval; CRM, circumferential resection margin; EMVI, extramural vascular invasion; ACI, anal canal invasion; CEA, carcinoembryonic antigen; Dis, distance from the end of the convex edge of the tumor to the edge of the anus