Risk of Prostate Cancer Death Reduced With Low Initial PSA

2011 ◽  
Vol 41 (4) ◽  
pp. 1-2
Author(s):  
PATRICE WENDLING
2013 ◽  
Vol 189 (4S) ◽  
Author(s):  
Matthew Cooperberg ◽  
Anamaria Crisan ◽  
Anirban Mitra ◽  
Mercedeh Ghadessi ◽  
Christine Buerki ◽  
...  

Author(s):  
A. I. Peltomaa ◽  
P. Raittinen ◽  
K. Talala ◽  
K. Taari ◽  
T. L. J. Tammela ◽  
...  

Abstract Purpose Statins’ cholesterol-lowering efficacy is well-known. Recent epidemiological studies have found that inhibition of cholesterol synthesis may have beneficial effects on prostate cancer (PCa) patients, especially patients treated with androgen deprivation therapy (ADT). We evaluated statins’ effect on prostate cancer prognosis among patients treated with ADT. Materials and methods Our study population consisted of 8253 PCa patients detected among the study population of the Finnish randomized study of screening for prostate cancer. These were limited to 4428 men who initiated ADT during the follow-up. Cox proportional regression model adjusted for tumor clinical characteristics and comorbidities was used to estimate hazard ratios for risk of PSA relapse after ADT initiation and prostate cancer death. Results During the median follow-up of 6.3 years after the ADT initiation, there were 834 PCa deaths and 1565 PSA relapses in a study cohort. Statin use after ADT was associated with a decreased risk of PSA relapse (HR 0.73, 95% CI 0.65–0.82) and prostate cancer death (HR 0.82; 95% CI 0.69–0.96). In contrast, statin use defined with a one-year lag (HR 0.89, 95% CI 0.76–1.04), statin use before ADT initiation (HR 1.12, 95% CI 0.96–1.31), and use in the first year on ADT (HR 1.02, 95% CI 0.85–1.24) were not associated with prostate cancer death, without dose dependency. Conclusion Statin use after initiation of ADT, but not before, was associated with improved prostate cancer prognosis.


Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 330 ◽  
Author(s):  
Muhammad Aslam ◽  
Mohammed Albassam

This paper presents an epidemiological study on the dietary fat that causes prostate cancer in an uncertainty environment. To study this relationship under the indeterminate environment, data from 30 countries are selected for the prostate cancer death rate and dietary fat level in the food. The neutrosophic correlation and regression line are fitted on the data. We note from the neutrosophic analysis that the prostate cancer death rate increases as the dietary fat level in the people increases. The neutrosophic regression coefficient also confirms this claim. From this study, we conclude that neutrosophic regression is a more effective model under uncertainty than the regression model under classical statistics. We also found a statistical correlation between dietary fat and prostate cancer risk.


2019 ◽  
Vol 32 (9) ◽  
pp. 1303-1309 ◽  
Author(s):  
Solène-Florence Kammerer-Jacquet ◽  
Amar Ahmad ◽  
Henrik Møller ◽  
Holly Sandu ◽  
Peter Scardino ◽  
...  

2019 ◽  
Vol 188 (6) ◽  
pp. 1165-1173 ◽  
Author(s):  
Renata Zelic ◽  
Daniela Zugna ◽  
Matteo Bottai ◽  
Ove Andrén ◽  
Jonna Fridfeldt ◽  
...  

Abstract In this paper, we describe the Prognostic Factors for Mortality in Prostate Cancer (ProMort) study and use it to demonstrate how the weighted likelihood method can be used in nested case-control studies to estimate both relative and absolute risks in the competing-risks setting. ProMort is a case-control study nested within the National Prostate Cancer Register (NPCR) of Sweden, comprising 1,710 men diagnosed with low- or intermediate-risk prostate cancer between 1998 and 2011 who died from prostate cancer (cases) and 1,710 matched controls. Cause-specific hazard ratios and cumulative incidence functions (CIFs) for prostate cancer death were estimated in ProMort using weighted flexible parametric models and compared with the corresponding estimates from the NPCR cohort. We further drew 1,500 random nested case-control subsamples of the NPCR cohort and quantified the bias in the hazard ratio and CIF estimates. Finally, we compared the ProMort estimates with those obtained by augmenting competing-risks cases and by augmenting both competing-risks cases and controls. The hazard ratios for prostate cancer death estimated in ProMort were comparable to those in the NPCR. The hazard ratios for dying from other causes were biased, which introduced bias in the CIFs estimated in the competing-risks setting. When augmenting both competing-risks cases and controls, the bias was reduced.


2019 ◽  
Vol 18 (1) ◽  
pp. e250
Author(s):  
T. Bonde Miranda ◽  
H. Garmo ◽  
P. Stattin ◽  
D. Robinson

Sign in / Sign up

Export Citation Format

Share Document