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. 2015 Oct 16;15:713. doi: 10.1186/s12885-015-1701-3

Table 4.

Multivariate models for clinical benefit and PFS on anti-EGFR-based clinical trial retreatment

Characteristic Clinical Benefit PFS
OR 95 % CI p a HR 95 % CI p b
Responded on prior anti-EGFR treatments, yes vs. no 3.38 (1.27, 9.31) 0.019 0.70 (0.43, 1.15) 0.156
Interval length, ≥ median vs. < median 2.37 (0.89, 6.31) 0.086 0.72 (0.45, 1.16) 0.177
Race, White vs. non-White 0.41 (0.13, 1.25) 0.116 1.75 (1.02, 3.01) 0.043
Age, ≥ 60 years vs. < 60 years 0.70 (0.25, 1.96) 0.500 1.10 (0.65, 1.87) 0.718
Gender, male vs. female 1.28 (0.50, 3.25) 0.611 0.78 (0.49, 1.24) 0.295
RMH Score, ≥ 2 vs. < 2 0.79 (0.29, 2.11) 0.633 1.32 (0.81, 2.16) 0.273
PS by ECOG, ≥ 1 versus < 1 0.76 (0.28, 2.10) 0.597 1.25 (0.76, 2.05) 0.381

aBased on a multivariable logistic regression model

bBased on a multivariable Cox proportional hazards model

OR Odds Ratio, HR Hazard Ratio

Multivariable models were tested for a possible interaction between response on prior anti-EGFR therapy vs. non-response on prior therapy (1, 0) and interval length at or above the median vs. below the median (1, 0). The interaction term between response on prior anti-EGFR therapy vs. non-response on prior therapy (1, 0) and interval length at or above the median vs. below the median (1, 0) was not significant in either model. Thus, the interaction term was not included in the final multivariable models