I am using survminer and survival packages in R for survival analysis. For some of the variables I get a significantly large HR value (with p~1). What does such a situation imply in terms of risk groups?
I assume you are writing about the cox proportional hazards model (coxph).
First of all, a large HR with a p value of about 1 is not a statistical significant hazard ratio (HR). It rather means that the standard error of the estimated HR is too large to make any reasonable conclusion about the true effect of your predictor. Please check the number of observed events in your data and read more about 'events per variable' , because I fear that your model might be overfitted that causes ridiculously large HR. Please do not forget to check the model assumptions, e.g. by computation Schoenfeld residuals: have a look at the R function cox.zph.