Logistic regression analysis of rectal complications and predictors using propensity score.

Table 6: Logistic regression analysis of rectal complications and predictors using propensity score.

Parameter	Estimate	Odds ratio (95% CI)	P value
Treatment Conservative management	-0.2620	0.770 (0.710, 0.834)	< 0.0001
Race Black Others	-0.1925 -0.5486	0.825 (0.712, 0.956) 0.578 (0.474, 0.705)	0.0104 < 0.0001
Marital status Single	-0.3301	0.719 (0.612, 0.845)	< 0.0001
Age 66-69 70-74 75-79	0.1219 0.0902 0.1218	1.130 (0.959, 1.331) 1.094 (0.927, 1.292) 1.130 (0.949, 1.345)	0.1453 0.2861 0.1704
Grade Well-differentiated	-0.1525	0.859 (0.664, 1.111)	0.2459
Comorbidity Null One	-0.4056 -0.1563	0.667 (0.594, 0.748) 0.855 (0.752, 0.973)	< 0.0001 0.0172

Note: Model was found to be statistically significant. Result of likelihood ratio test: χ² value - 156.787 and P value < 0.0001. CI indicates confidence Interval. Base case includes patients who were in immediate treatment group, with race white, married, aged 80 or above, with moderately differentiated tumors and with greater than 1 comorbidities.