Biostatistical models predicting the risk of recurrence after radical prostatectomy for clinically localized prostate cancer are necessary.

In our analysis we evaluated age, race, prostatic acid phosphatase and nuclear grade with the established prognostic variables of pretreatment prostate specific antigen, postoperative Gleason sum and pathological stage.

After multivariable Cox regression analysis using only statistically significant variables that predicted recurrence we developed an equation that calculates the relative risk of recurrence (Rr) after surgery.

This model was validated with an independent cohort of radical prostatectomy patients treated at a different medical centers by multiple primary surgeons.

By filling in the form, the patient's relative risk of recurrence will be calculated using the equation we developed.

For a complete copy of the article this equation is published in, please see Oncology, August 2001, Volume 15, Number 8, pp 1060-1062.

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