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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: J Urol. 2019 Oct 9;202(5):936–943. doi: 10.1097/JU.0000000000000346

Table 3.

Fitted logistic regression model of prostate cancer overdiagnosis for patients with average comorbidities, ages 50–74 years

Covariate Odds ratio 95% CI P value
Intercept* 0.11 (0.11, 0.12) <0.001
Age at diagnosis, y 1.13 (1.13, 1.13) <0.001
PSA level, ng/mL 0.87 (0.86, 0.88) <0.001
Gleason 7 vs 2–6 0.85 (0.82, 0.89) <0.001
Age × PSA 1.00 (1.00, 1.00) <0.001
Age × (Gleason 7 vs 2–6) 0.99 (0.99, 1.00) <0.001
PSA × (Gleason 7 vs 2–6) 1.01 (1.00, 1.02) 0.05
*

Covariates were scaled so the intercept corresponds to a patient age 50 y with PSA 4 ng/mL and Gleason 2–6 at screen detection.