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. 2023 Jun 4;199(10):936–949. doi: 10.1007/s00066-023-02095-5

Table 4.

Logistic regression models of phosphenes and/or phantosmias during radiation therapy

B SE Wald p Exp(B) 95%CI
LB UB
Model 1: Phantosmia vs. no phantosmia
Taste problem = Yes −1.73 0.81 4.52 0.03 0.17 0.04 0.87
Taste problem = No Reference
Age −0.07 0.02 11.92 < 0.01 0.94 0.90 0.97
Model 2: Phosphene vs. no phosphene
Technology = Proton 1.88 0.60 9.90 < 0.01 6.54 2.03 21.06
Technology = Photon Reference
RT region = Brain 2.34 0.85 7.55 < 0.01 10.36 1.95 54.92
RT region = ENT-related region 2.03 0.90 5.05 0.03 7.58 1.30 44.31
RT region = Other body region Reference
Model 3: Both sensations vs. no sensation
Technology = Proton 2.16 0.93 5.35 0.02 8.67 1.39 54.10
Technology = Photon Reference
Taste problem = Yes −2.48 1.15 4.69 0.03 0.08 0.01 0.79
Taste problem = No Reference

B beta coefficient, SE standard error, Wald Wald chi-square statistic, p level of significance, Exp(B) Exponentiated beta coefficient, 95% CI 95% confidence interval, LB lower bound, UB upper bound.

Stepwise method was used to select the most important predictors of phosphene or/and phantosmia during the radiation therapy