Categorical variables are expressed as number and percentage. Pearson’s chi-square test was used to compare the results between the different groups. Continuous variables are presented as median with interquartile range.
A Cox proportional hazards model was constructed to estimate the independent effects of the three GA domains on the survival rate during a 6-year follow-up period, after adjustment for age, tumour stage, lymph node (LN) stage, and intrinsic molecular subtype. The primary outcome was OS time, which was defined as the time from the date of cancer diagnosis to the date of death from any cause or the date on which the patient was last known to be alive. The estimated effects of the three GA domains on OS were calculated as hazard ratios (HRs) and 95% confidence intervals (CIs). Adjusted survival curves stratified by the categories of the three GA domains were also generated. To examine the effects of the three GA domains on OS and BCSS, we constructed a Cox proportional hazards model after adjusting for age, tumour stage, LN stage, and intrinsic molecular subtype.
To assess the incremental prognostic value of each GA domain, we estimated Harrell’s concordance statistic (C‐statistic) for different models for OS and BCSS. The C‐statistic is equivalent to the area under the receiver operating characteristic curve, with a value of 0.5 indicating random predictions and a value of 1.0 indicating perfect discrimination between survivors and non-survivors. The first model was a ‘basic’ model that controlled for age, tumour stage, LN stage, and intrinsic molecular subtype. The GA domains were then individually added to the basic model. The final model was a ‘full’ model that included all three GA domains in addition to the covariates in the basic model.
All analyses were conducted using R software version 4.1.3. A two-sided P-value of <0.05 was considered statistically significant.
A Cox proportional hazards model was constructed to estimate the independent effects of the three GA domains on the survival rate during a 6-year follow-up period, after adjustment for age, tumour stage, lymph node (LN) stage, and intrinsic molecular subtype. The primary outcome was OS time, which was defined as the time from the date of cancer diagnosis to the date of death from any cause or the date on which the patient was last known to be alive. The estimated effects of the three GA domains on OS were calculated as hazard ratios (HRs) and 95% confidence intervals (CIs). Adjusted survival curves stratified by the categories of the three GA domains were also generated. To examine the effects of the three GA domains on OS and BCSS, we constructed a Cox proportional hazards model after adjusting for age, tumour stage, LN stage, and intrinsic molecular subtype.
To assess the incremental prognostic value of each GA domain, we estimated Harrell’s concordance statistic (C‐statistic) for different models for OS and BCSS. The C‐statistic is equivalent to the area under the receiver operating characteristic curve, with a value of 0.5 indicating random predictions and a value of 1.0 indicating perfect discrimination between survivors and non-survivors. The first model was a ‘basic’ model that controlled for age, tumour stage, LN stage, and intrinsic molecular subtype. The GA domains were then individually added to the basic model. The final model was a ‘full’ model that included all three GA domains in addition to the covariates in the basic model.
All analyses were conducted using R software version 4.1.3. A two-sided P-value of <0.05 was considered statistically significant.
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