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. Author manuscript; available in PMC: 2023 Jun 1.
Published in final edited form as: Ann Oncol. 2022 Mar 16;33(6):638–648. doi: 10.1016/j.annonc.2022.03.005

Table 3:

Multivariable Cox models and univariate analysis results

Characteristics Univariate Model A1 Model B2

HR (P-value) HR (P-value) HR (P-value)
Age at Diagnosis (years) 1.073 (<0.0001) 1.06 (0.0002) 1.05 (0.0017)
Smoking History
 No -- -- --
 Yes 1.57 (0.1016) 1.71 (0.0733) 1.40 (0.2753)
Stage (AJCC 8th Edition)
 I&II -- -- --
 III&IV 2.28 (0.0056) 1.94 (0.0698) 2.21 (0.0366)
Treatment
 Surgery + Radiation + Chemo -- -- --
 Radiation + Chemo 1.79 (0.0706) 1.43 (0.2874) 1.22 (0.5644)
 Surgery Only 1.23 (0.6503) 0.76 (0.5985) 0.83 (0.7240)
 Surgery + Radiation 1.11 (0.7864) 0.81 (0.6550) 0.93 (0.8656)
 Other 3.53 (0.0026) 2.16 (0.1042) 1.87 (0.1972)
4Sex
 Male -- -- --
 Female 0.78 (0.5358) -- --
High-risk HPV16 SNP Status
 No high-risk SNPs -- -- --
 ≥1 high-risk SNP 7.81 (<0.0001) -- 6.12 (<0.0001)
1

Model A is the model only with traditional factors including age, smoking, stage and treatment.

2

Model B is the model with both traditional factors and HPV16 SNP information.

3

HR for age is for 1-year increase.

4

Gender had p-values of 0.54, 0.84, and 0.64 in univariate analysis, the model with traditional factors, and the model with both traditional factors and HPV SNP information, respectively. With such large p-values, including gender in models yielded decreased model accuracy. Therefore, we presented the models without gender.