To estimate the probability failure in medical sciences, it is not atypical to use 1-KM. However this does not account for competing risks, such as death by natural causes or causes unrelated with the disease, which preclude the event of interest. Thus 1-KM provides an inadequate measure, and cumulative incidence curves, such as the ones used in cmprsk (in R).
My question is that a lot of medical literature still reports KM curves or even 1-KM. Does this mean that the results reported in a lot of medical literature may be inaccurate (or more precisely over-estimated)? Or are there reasons why 1-KM would be preferred?
Furthermore, if there is a difference between 1-KM and the cumulative indices curve what other parts of your analysis are also effected (i.e. discrimination, calibration...)?