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Updated: Jun 23, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
[Multivariate survival analysis model of protate cancer with a Cox model]
Ting Liu1, Xiao-ying Wang, Yi Wang
1Department of Radiology, Peking University First Hospital, Beijing 100034, China.
Objective:
To study the correlations between the clinical examinations and latent prostate cancer in old males with abnormal PSA values and provide them with prospective and reasonable programs.
Methods:
The clinical data of 85 old male adults with abnormal PSA values were collected from three to five years. The clinical examinations about prostate cancer patients were evaluated by Cox multivariate survival analysis.
Results:
During the follow-up period, clinical prostate cancer was detected in 12 of the 85 patients and the overall proportion was 14.1%(12/85). Multivariate analysis revealed that amplification of PSA, MR examination, PSA density, ultrasound, age, digital rectal examination had different relative risk values, which were 4.661(P=0.022), 4.060(P=0.022), 3.607(P=0.219), 1.019(P=0.982), 1.001(P=0.987) and 0.566(P=0.487), respectively. The amplification of PSA and MR examination showed statistical significance(P<0.05).
Conclusion:
For abnormal PSA value adults, amplification of PSA combined with MR examination is more valuable to direct puncturation during the follow-up period and is helpful to detect latent prostate cancer.
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