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Algorithm of Pound et al for Predicting the Chances of Being Free of Metastatic Disease Following Radical Prostatectomy for Prostate Cancer

Description

Pound et al developed an algorithm for predicting the likelihood of metastatic disease in a man who has undergone a radical prostatectomy for prostate cancer. This can help identify a patient who may benefit from more aggressive management. The authors are from the Johns Hopkins University and Merck Research Laboratories.


 

Parameters:

(1) Gleason score in the surgical specimen

(2) time to PSA recurrence in months

(3) PSA doubling time in months

Gleason Score

Time to PSA Recurrence

PSA Doubling Time

Group

5 to 7

> 24 months

> 10 months

A

5 to 7

> 24 months

<= 10 months

B

5 to 7

<= 24 months

> 10 months

C

5 to 7

<= 24 months

<= 10 months

D

8 to 10

> 24 months

NA

E

8 to 10

<= 24 months

NA

F

 

where:

• Patients with a Gleason score of <= 4 were not included in the algorithm.

 

Group

Percent Metastasis Free at 5 Years

Percent Metastasis Free at 7 Years

A

86%

82%

B

69%

60%

C

76%

59%

D

35%

15%

E

60%

47%

F

31%

21%

 


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