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. 2020 Oct;9(10):6013–6025. doi: 10.21037/tcr-20-1578

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2020 Translational Cancer Research. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.

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The nomogram model of predicting the probability of PCSS in men with high-risk PCa based on the factors of age, race, marital status, T stage, PSA, GS and therapy. Instructions: Locate the patient’s level of every factor on the axis. Draw a line straight upward to the point axis to determine the points received from each factor. Sum all points of each factor and locate the final sum on the total-point axis. Draw a line straight down to find the patient’s 5- and 10-year PCSS rates. PCSS, prostate cancer-specific survival; PCa, prostate cancer; PSA, prostate-specific antigen; GS, Gleason score.