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. Author manuscript; available in PMC: 2020 Sep 17.
Published in final edited form as: Ann Cancer Epidemiol. 2020 Mar 31;4:4. doi: 10.21037/ace.2020.01.02

Table 3.

Quantitative bias analysis accounting for possible unmeasured confounding due to presence of comorbid conditions at diagnosis

Breast cancer therapy Observed association,
HR (95% CI)
Bias parameters
HRc Bias-adjusted estimate
HRCD HRCE p

Chemotherapy 1.10 (0.62, 1.96) 4.2 0.8 0.29 0.93 1.19
4.2 0.8 0.4 0.93 1.19
4.2 0.7 0.29 0.89 1.24
4.2 0.7 0.4 0.89 1.24
7.5 0.8 0.29 0.90 1.22
7.5 0.7 0.4 0.85 1.29
Hormone therapy 0.94 (0.59, 1.50) 4.2 0.8 0.29 0.93 1.01
4.2 0.8 0.4 0.93 1.01
4.2 0.7 0.29 0.89 1.06
4.2 0.7 0.4 0.89 1.06
7.5 0.8 0.29 0.90 1.04
7.5 0.7 0.4 0.85 1.10
Trastuzumab 2.05 (0.76, 5.52) 4.2 0.8 0.29 0.93 2.21
4.2 0.8 0.4 0.93 2.21
4.2 0.7 0.29 0.89 2.31
4.2 0.7 0.4 0.89 2.32
7.5 0.8 0.29 0.90 2.27
7.5 0.7 0.4 0.85 2.41

HRCD is the estimated hazard ratio for the association between comorbid conditions at breast cancer diagnosis and cardiovascular disease mortality. HRCE is the estimated hazard ratio for the association between comorbid conditions at breast cancer diagnosis and receipt of breast cancer therapies. P is the estimated prevalence of comorbid conditions present at breast cancer diagnosis among breast cancer survivors. HRC is the estimated hazard ratio due to confounding by comorbid conditions.