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. 2022 Sep 28;9(10):535. doi: 10.3390/vetsci9100535

Table 3.

Multivariable logistic regression models. Without adjusting for species, age, and sex (Model 0) and with adjustments (Model 1) for risk factors for malignant tumors in the Vet-OncoNet database. Topography of tumors (topography group), breed, and geographical location (district) were considered as random effects.

Variable Category Model 0 Model 1
OR 95%CI OR 95%CI p-Value
Dogs and cats
Species
Canine - - Ref
Feline - - 3.96 (3.57, 4.39) <0.001
Age (3y) 1.18 (1.14, 1.23) <0.001
Sex
Male - - Ref
Female - - 1.19 (1.09, 1.30) <0.001
Random Effect MOR Variance MOR Variance
Topography 4.26 2.314 4.10 2.188
District 1.09 0.009 1.14 0.019
Dogs
Age (3y) - - 1.24 (1.19, 1.29) <0.001
Sex
Male - - Ref
Female - - 1.19 (1.08, 1.31) <0.001
Random Effect MOR Variance MOR Variance
Topography 4.33 2.364 4.25 2.301
Breed 1.53 0.198 1.56 0.221
District 1.09 0.009 1.11 0.013
Cats
Age (3y) - - 1.23 1.13, 1.34 <0.001
Sex - -
Male - - Ref
Female - - 0.98 0.77, 1.23 0.872
Random Effect MOR Variance MOR Variance
Topography 6.44 3.811 6.05 3.563
Breed 1.38 0.117 1.43 0.140
District 1.19 0.034 1.19 0.035

Total number of cases included in this analysis: malignant tumors: 8083, benign tumors: 7208. Only breeds with more than 30 records were included.