Urology
Volume 75, Issue 3 , Pages 511-513 , March 2010

Why Can't Nomograms Be More Like Netflix?

  • Andrew J. Vickers

      Affiliations

    • Department of Epidemiology and Biostatistics and Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY
    • Corresponding Author InformationReprint requests: Andrew J. Vickers, Ph.D., Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 307 E 63rd St, New York, NY 10021
    • ,
  • Paul Fearn

      Affiliations

    • Department of Epidemiology and Biostatistics and Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY
    • ,
  • Peter T. Scardino

      Affiliations

    • Department of Epidemiology and Biostatistics and Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY
    • ,
  • Mike W. Kattan

      Affiliations

    • Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH

Received 28 July 2009 ,Accepted 29 July 2009.

References 

  1. Stephenson AJ, Scardino PT, Eastham JA, et al. Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy. J Natl Cancer Inst. 2006;98:715
  2. Egevad L. Recent trends in Gleason grading of prostate cancer: I. Pattern interpretation. Anal Quant Cytol Histol. 2008;30:190
  3. Epstein JI, Allsbrook WC, Amin MB, et al. Update on the Gleason grading system for prostate cancer: results of an international consensus conference of urologic pathologists. Adv Anat Pathol. 2006;13:57
  4. Vickers AJ, Bianco FJ, Serio AM, et al. The surgical learning curve for prostate cancer control after radical prostatectomy. J Natl Cancer Inst. 2007;99:1171
  5. Vickers AJ, Savage CJ, Hruza M, et al. The surgical learning curve for laparoscopic radical prostatectomy: a retrospective cohort study. Lancet Oncol. 2009;10:475
  6. Walz J, Chun FK, Klein EA, et al. Nomogram predicting the probability of early recurrence after radical prostatectomy for prostate cancer. J Urol. 2009;181:601
  7. Stephenson AJ, Scardino PT, Eastham JA, et al. Postoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy. J Clin Oncol. 2005;23:7005
  8. Shariat SF, Karam JA, Walz J, et al. Improved prediction of disease relapse after radical prostatectomy through a panel of preoperative blood-based biomarkers. Clin Cancer Res. 2008;14:3785
  9. Kattan MW, Vickers AJ, Yu C, et al. Preoperative and postoperative nomograms incorporating surgeon experience for clinically localized prostate cancer. Cancer. 2009;115:1005
  10. Eastham JA, Scardino PT, Kattan MW. Predicting an optimal outcome after radical prostatectomy: the trifecta nomogram. J Urol. 2008;179:2207
  11. D'Amico AV, Moul J, Carroll PR, et al. Cancer-specific mortality after surgery or radiation for patients with clinically localized prostate cancer managed during the prostate-specific antigen era. J Clin Oncol. 2003;21:2163
  12. Dong F, Kattan MW, Steyerberg EW, et al. Validation of pretreatment nomograms for predicting indolent prostate cancer: efficacy in contemporary urological practice. J Urol. 2008;180:150
  13. Shariat SF, Karakiewicz PI, Roehrborn CG, et al. An updated catalog of prostate cancer predictive tools. Cancer. 2008;113:3075
  14. Nguyen C, Kattan M. Development of a prostate cancer metagram: a solution to the dilemma of which prediction tool to use in patient counseling. Cancer. 2009;115(suppl 13):3039–3045

PII: S0090-4295(09)02296-1

doi: 10.1016/j.urology.2009.07.1265

Urology
Volume 75, Issue 3 , Pages 511-513 , March 2010

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