Risk models for recurrence and survival after kidney cancer: a systematic review.
Juliet A Usher-SmithLanxin LiLydia E RobertsHannah HarrisonSabrina H RossiStephen J SharpCarol CouplandJulia Hippisley-CoxSimon J GriffinTobias KlatteGrant D StewartPublished in: BJU international (2022)
Several models had good discriminative ability, with there being no single 'best' model. The choice from these models for each setting should be informed by both the comparative performance and availability of factors included in the models. All would need recalibration if used to provide absolute survival estimates.