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. Author manuscript; available in PMC: 2015 Apr 8.
Published in final edited form as: J Urol. 2007 Oct 22;178(6):2359–2365. doi: 10.1016/j.juro.2007.08.039

Table 3.

Cox regression analysis multivariate model for predicting delayed intervention in men treated expectantly

All Men*
Men Meeting Entry Criteria
Variable Adjusted RR (95% CI) p Value Adjusted RR (95% CI) p Value
Age at diagnosis 1.056 (1.013, 1.1) 0.011 1.078 (1.022, 1.137) 0.006
PSA at diagnosis 0.972 (0.893, 1.059) 0.52 1.023 (0.892, 1.173) 0.745
PSA density at diagnosis/0.01 U change 1.027 (0.992, 1.063) 0.135 1.109 (1.011, 1.217) 0.029
PSA slope 1.207 (0.991, 1.469) 0.061 1.274 (1.037, 1.565) 0.021
No. Ca pos cores 1.192 (0.811, 1.753) 0.371 1.182 (0.631, 2.212) 0.602
Max % core involvement with Ca 1.009 (0.997, 1.022) 0.141 1.015 (0.996, 1.033) 0.118
Diagnosis yr 0.881 (0.816, 0.951) 0.001 0.874 (0.799, 0.956) 0.003
*

Total of 351 patients, including 87 with delayed curative intervention and 264 untreated.

Total of 288 patients, including 70 with delayed curative intervention and 218 untreated.

Regression of PSA on time using all PSA values after cancer diagnosis.