PURPOSE: We evaluated 3 indexes used to assess patient co-morbidities to determine whether they could predict mortality among men with clinically localized prostate cancer. MATERIALS AND METHODS: We measured the impact of co-morbidity classifications on all cause mortality using a parametric proportional hazards model based on a retrospective cohort analysis. RESULTS: Each index tested is a highly significant predictor of mortality for patients dying of nonprostate cancer related causes after adjusting for age and Gleason score. CONCLUSIONS: Each co-morbidity index provides significant, independent predictive information concerning patient mortality beyond that provided by age, Gleason score and clinical stage alone.
PURPOSE: We evaluated 3 indexes used to assess patient co-morbidities to determine whether they could predict mortality among men with clinically localized prostate cancer. MATERIALS AND METHODS: We measured the impact of co-morbidity classifications on all cause mortality using a parametric proportional hazards model based on a retrospective cohort analysis. RESULTS: Each index tested is a highly significant predictor of mortality for patients dying of nonprostate cancer related causes after adjusting for age and Gleason score. CONCLUSIONS: Each co-morbidity index provides significant, independent predictive information concerning patient mortality beyond that provided by age, Gleason score and clinical stage alone.
Authors: Giovanni Lughezzani; Alberto Briganti; Pierre I Karakiewicz; Michael W Kattan; Francesco Montorsi; Shahrokh F Shariat; Andrew J Vickers Journal: Eur Urol Date: 2010-08-06 Impact factor: 20.096
Authors: C Börgermann; M Sieverding; P Fornara; M Graefen; P Hammerer; A Semjonow; F Schröder; H Rübben Journal: Urologe A Date: 2006-09 Impact factor: 0.639
Authors: Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino Journal: Future Oncol Date: 2009-12 Impact factor: 3.404