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Statistical modeling using preoperative prognostic variables in predicting extracapsular extension and progression after radical prostatectomy for prostate cancer.

Publication ,  Journal Article
Bauer, JJ; Connelly, RR; Seterhenn, IA; Srivastava, S; McLeod, DG; Moul, JW
Published in: Mil Med
September 1998

OBJECTIVE: To predict the risk of extracapsular extension and postoperative recurrence before radical prostatectomy (RP) for prostate cancer. METHODS: We performed multivariate Cox regression analysis on preoperative variables in 260 clinically localized prostate cancer patients who underwent RP. With these data, we constructed a relative risk of recurrence (Rr) equation and an equation to predict the probability of extracapsular extension (PECE) before RP. RESULTS: Rr is calculated as exp[(0.47 x race + 0.14 x PSAST) + (0.13 x worst biopsy Gleason sum) + (1.03 x stage T1c) + (1.55 x stage T2b,c)], where PSAST indicates a sigmoidal transformation of prostate-specific antigen. PECE is calculated as 1/[1 + exp(-Z)], where Z = -2.47 + 0.15 (PSAST) + 0.31 (worst biopsy Gleason sum) + 0.18 (race) + 0.16 (stage T1c) + 0.38 (stage T2b,c). CONCLUSION: These two equations can be used preoperatively to predict the probability of extracapsular disease and the risk of prostate-specific antigen recurrence in patients undergoing RP.

Duke Scholars

Published In

Mil Med

ISSN

0026-4075

Publication Date

September 1998

Volume

163

Issue

9

Start / End Page

615 / 619

Location

England

Related Subject Headings

  • Survival Analysis
  • Strategic, Defence & Security Studies
  • Risk
  • Reproducibility of Results
  • Prostatic Neoplasms
  • Prostatectomy
  • Prostate-Specific Antigen
  • Proportional Hazards Models
  • Prognosis
  • Predictive Value of Tests
 

Citation

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Bauer, J. J., Connelly, R. R., Seterhenn, I. A., Srivastava, S., McLeod, D. G., & Moul, J. W. (1998). Statistical modeling using preoperative prognostic variables in predicting extracapsular extension and progression after radical prostatectomy for prostate cancer. Mil Med, 163(9), 615–619.
Bauer, J. J., R. R. Connelly, I. A. Seterhenn, S. Srivastava, D. G. McLeod, and J. W. Moul. “Statistical modeling using preoperative prognostic variables in predicting extracapsular extension and progression after radical prostatectomy for prostate cancer.Mil Med 163, no. 9 (September 1998): 615–19.

Published In

Mil Med

ISSN

0026-4075

Publication Date

September 1998

Volume

163

Issue

9

Start / End Page

615 / 619

Location

England

Related Subject Headings

  • Survival Analysis
  • Strategic, Defence & Security Studies
  • Risk
  • Reproducibility of Results
  • Prostatic Neoplasms
  • Prostatectomy
  • Prostate-Specific Antigen
  • Proportional Hazards Models
  • Prognosis
  • Predictive Value of Tests