Predicting Life Expectancy in Men With Clinically Localized Prostate Cancer
- 1 January 2006
- journal article
- research article
- Published by Wolters Kluwer Health in Journal of Urology
- Vol. 175 (1), 99-103
- https://doi.org/10.1016/s0022-5347(05)00018-2
Abstract
The choice of appropriate management for localized prostate cancer depends in part on the estimated life expectancy of a man. Little is known about the accuracy of existing rules for deriving these estimates. We developed a new prediction rule and examined the accuracy of 2 others in our data set. A retrospective cohort was assembled, consisting of 506 men who were diagnosed or received initial treatment at a community based, tertiary care health center between 1987 and 1989 for clinically localized prostate cancer (stages A, B, I, II or T1–2N0M0) and had at least 13 years of followup. Most patients did not have prostate specific antigen levels available. Proportional hazards regression was used to create a nomogram for deriving survival estimates. Discrimination of the new and external prediction rules was assessed by the c-statistic. Calibration curves compared predicted to actual survival at 10 years. Estimates for survival at 5, 10 and 15 years, and for median life expectancy were determined. Discrimination was modest with a c-statistic of 0.73. The rules of Albertsen and Tewari et al had comparable discrimination in our data with a c-statistic of 0.71 and 0.70, respectively. Predicted life expectancy according to our rule and that of Tewari approximated actual survival experience. Predictions according to the Albertsen study underestimated actual survival in our group but in consistent fashion. Overall life expectancy can be predicted with a moderate degree of accuracy, sufficient for informing patient-clinician discussions but inadequate as the only determinant of the optimal management approach.Keywords
This publication has 14 references indexed in Scilit:
- LONG-TERM SURVIVAL PROBABILITY IN MEN WITH CLINICALLY LOCALIZED PROSTATE CANCER: A CASE-CONTROL, PROPENSITY MODELING STUDY STRATIFIED BY RACE, AGE, TREATMENT AND COMORBIDITIESJournal of Urology, 2004
- Use of algorithms as determinants for individual patient decision making: national comprehensive cancer network versus artificial neural networksUrology, 2003
- Nomograms for clinically localized prostate cancer. Part I: radical prostatectomy.Seminars in Urologic Oncology, 2002
- A CATALOG OF PROSTATE CANCER NOMOGRAMSJournal of Urology, 2001
- The Impact of Co-morbidity on Life Expectancy Among Men with Localized Prostate CancerJournal of Urology, 1996
- MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORSStatistics in Medicine, 1996
- Prostate Cancer Clinical Guidelines Panel Summary Report on the Management of Clinically Localized Prostate CancerJournal of Urology, 1995
- The Importance of Co-existent Disease in the Occurrence of Postoperative Complications and One-Year Recovery in Patients Undergoing Total Hip ReplacementMedical Care, 1993
- A new method of classifying prognostic comorbidity in longitudinal studies: Development and validationJournal of Chronic Diseases, 1987
- Evaluating the yield of medical testsJAMA, 1982