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. Author manuscript; available in PMC: 2014 Dec 1.
Published in final edited form as: Eur J Surg Oncol. 2013 Nov 6;40(6):731–738. doi: 10.1016/j.ejso.2013.10.023

Table 4.

Binary logistic regression models for probability of colorectal cancer

Variable ß P-value Odds ratio ( 95% CI)

Intercept −6.23 <0.001

Age 0.038 0.015 1.04 (1.01-1.07)

Gender 0.684 0.134 1.98 (0.83-5.08)

Mode of referral 0.271 0.551 1.31 (0.54-3.27)

Blood in stools 0.977 0.026 2.65 (1.12-6.35)

Anal pain −1.055 0.034 0.34 (0.12-0.88)

Diabetes 0.273 0.681 1.31 (0.29-4.27)

Previous bowel polyps −0.016 0.984 0.98 (0.15-3.79)

Previous bowel cancer 0.844 0.468 2.33 ( 0.11-16.9)

LOX quartile

 2 −0.458 0.465 0.63 (0.18-2.20)
 3 −0.511 0.423 0.60 ( 0.16-2.10)
 4 −0.091 0.876 0.91 (0.29-2.98)
LOX not included in model

Variable ß P-value Odds ratio ( 95% CI)

Intercept −6.372 <0.001

Age 0.037 0.017 1.04 (1.01-1.07)

Gender 0.645 0.154 1.91 (0.80-4.86)

Mode of referral 0.244 0.591 1.28 (0.52-3.17)

Blood in stools 0.956 0.028 2.60 (1.10-6.21)

Anal pain −1.052 0.035 0.50 (2.23-1.05)

Diabetes 0.321 0.625 1.38 (0.31-4.40)

Previous bowel polyps −0.076 0.923 0.93 (0.14-3.51)

Previous bowel cancer 0.923 0.422 2.52 (0.13-18.01)

Abbreviations: CI = confidence interval; LOX = lysyl oxidase