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Bonfiglio C, Leone CM, Silveira LVA, Guerra R, Misciagna G, Caruso MG, Bruno I, Buongiorno C, Campanella A, Guerra VMB, Notarnicola M, Deflorio V, Franco I, Bianco A, Mirizzi A, Aballay LR, Cisternino AM, Sorino P, Pesole PL, Osella AR. Remnant cholesterol as a risk factor for cardiovascular, cancer or other causes mortality: A competing risks analysis. Nutr Metab Cardiovasc Dis 2020; 30:2093-2102. [PMID: 32819783 DOI: 10.1016/j.numecd.2020.07.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 05/08/2020] [Accepted: 07/01/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND AIMS Cardiovascular diseases (CVDis) are leading causes of morbidity and mortality. Even after the introduction of pharmacological therapy to lower Cholesterol, there is still a residual risk that may be ascribed to remnant cholesterol (RC). We aimed, by analyzing two prospective cohort studies, to estimate the effect of RC on risk and hazard of cardiovascular deaths (CVDs), while accounting for competing risks such as cancer (CDs) and other-causes deaths (OCDs). METHODS AND RESULTS Cohorts were enrolled in 1992 and 2005. Personal data history was recorded. A fasting venous blood sample was obtained, and RC was calculated at baseline. Cause of Death was coded by using ICD-10th version. Follow-up ended on December 31, 2017. Flexible parametric competing-risks models were applied, with age at death as time-axis. In total, 5729 subjects were enrolled. There were 861 (15.1%) deaths: 234 CVDs (27.2%), 245 CDs (28.5%), 271 OCDs (31.5%) and 111 unknown causes of death (12.8%). RC exposure was a strong risk factor only for CVDs (Risk 2.54, 95% Confidence Interval 1.21; 5.34; Trend 1.26 (1.00; 1.58) for ≥1.29 mmol/L). CONCLUSIONS RC is a strong independent risk factor for cardiovascular mortality. Competing risk analysis is demonstrably a useful tool to disentangle associations among different competing events with a common risk factor.
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Affiliation(s)
- Caterina Bonfiglio
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Carla M Leone
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Liciana V A Silveira
- Department of Biostatistics, Biosciences Institute, São Paulo State University, Av Rubião Jr.-Centro, Botucatu-SP, 18618-970 Botucatu, São Paulo, Brazil (Liciana V.A. Silveira)
| | - Rocco Guerra
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Giovanni Misciagna
- Scientific and Ethical Committee, Policlinic Hospital, University of Bari, Piazza Giulio Cesare, 11, 70124 Bari, BA, Italy (Giovanni Misciagna)
| | - Maria G Caruso
- Laboratory of Nutritional Biochemistry National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Maria Gabriella Caruso, Maria Notarnicola); Clinical Nutrition Outpatient Clinic National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Anna Maria Cisternino)
| | - Irene Bruno
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Claudia Buongiorno
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Angelo Campanella
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Vito M B Guerra
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Maria Notarnicola
- Laboratory of Nutritional Biochemistry National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Maria Gabriella Caruso, Maria Notarnicola)
| | - Valentina Deflorio
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Isabella Franco
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Antonella Bianco
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Antonella Mirizzi
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Laura R Aballay
- Human Nutrition Research Center (CenINH), School of Nutrition, Faculty of Medical Sciences, Universidad Nacional de Córdoba, Córdoba, Argentina; Enrique Barros Pabellón Biología Celular, Ciudad Universitaria, X5000 Córdoba, Argentina
| | - Anna M Cisternino
- Clinical Nutrition Outpatient Clinic National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Anna Maria Cisternino)
| | - Paolo Sorino
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino)
| | - Pasqua L Pesole
- Laboratory of Clinical Pathology, National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Pasqua Letizia Pesole)
| | - Alberto R Osella
- Laboratory of Epidemiology and Biostatistics National Institute of Gastroenterology, "S de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, BA, Italy (Alberto Ruben Osella, Caterina Bonfiglio, Carla Maria Leone, Rocco Guerra, Irene Bruno Claudia Buongiorno, Angelo Campanella, Vito Maria Bernardo Guerra, Valentina Deflorio, Isabella Franco, Antonella Bianco, Antonella Mirizzi, Paolo Sorino).
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Nazzani S, Preisser F, Bandini M, Marchioni M, Tian Z, Soulières D, Montanari E, Ratti D, Acquati P, Briganti A, Shariat SF, Abdollah F, Carmignani L, Karakiewicz PI. Surgically Treated Retroperitoneal Sarcoma: A Population-based Competing Risks Analysis. Eur Urol Oncol 2018; 1:346-351. [PMID: 31100257 DOI: 10.1016/j.euo.2018.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 05/02/2018] [Accepted: 05/14/2018] [Indexed: 11/18/2022]
Abstract
BACKGROUND Data regarding the relationship between non-disease-specific (NDSM) and disease-specific mortality (DSM) in patients with surgically treated nonmetastatic retroperitoneal sarcoma (nmRPS) are lacking. OBJECTIVE To examine the rates of NDSM and DSM among patients with surgically treated nmRPS. DESIGN, SETTING AND PARTICIPANTS We used the Surveillance, Epidemiology and End Results (SEER) database (2004-2014) to obtain data for patients with surgically treated nonmetastatic RPS. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES The 5-yr DSM and NDSM rates were generated via competing risks regression (CRR) methodologies. Multivariable CRR models were used to test the effects of age, histologic subtype, grade, size, and radiotherapy (RT) status on NDSM and DSM. RESULTS AND LIMITATIONS Overall, 231 (26.8%) and 57 patients (6.7%) died from DSM and NDSM, respectively. Following stratification according to age, histologic subtype, grade, size, and RT status, the proportion of patients who succumbed to NDSM was higher for patients with age above the median, liposarcoma histologic subtype, low grade, and tumor size ≥17cm. DSM rates were also higher among patients with age above the median, leiomyosarcoma histologic subtype, high grade, and tumor size ≥17cm. Multivariable CRR models revealed that age above the median was associated with higher NDSM (hazard ratio [HR]1.7, 95% confidence interval [CI] 1.1-2.7; p=0.019). Conversely, leiomyosarcoma (HR 1.9, 95% CI 1.4-2.6; p<0.0001), sarcoma not otherwise specified (HR 2.4, 95% CI 1.5-3.8; p<0.0001) and other RPS (HR 2, 95% CI 1.2-3.4; p=0.01) histologic subtypes, high grade (HR 3, 95% CI 2.3-4; p<0.0001), and tumor size above the median (HR 1.4, 95% CI 1.1-3.8; p=0.012) were associated with higher DSM. This is a retrospective study and misclassification bias may be present because of the reliability of the distinction between DSM and NDSM. CONCLUSIONS The impact of NDSM in surgically treated nmRPS is not trivial, particularly among patients with favorable characteristics such as liposarcoma histologic subtype and low-grade tumors. PATIENT SUMMARY Mortality from causes not related to the specific disease is important in patients with retroperitoneal sarcoma (RPS) treated surgically. In particular, patients with good tumor characteristics, namely liposarcoma histologic subtype and low grade, most often do not die from their cancer but succumb to causes other than RPS. Unfortunately, tumor characteristics and radiotherapy administration shed relatively little light on predicting mortality from causes other than cancer in patients with surgically treated RPS. Our report compares the risk of dying from RPS with that of dying from other causes according to the type of surgically treated sarcoma.
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Affiliation(s)
- Sebastiano Nazzani
- Cancer Prognostics and Health Outcomes Unit, Centre Hospitalier de l'Université de Montréal, Montreal, Canada; Academic Urology Department, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
| | - Felix Preisser
- Cancer Prognostics and Health Outcomes Unit, Centre Hospitalier de l'Université de Montréal, Montreal, Canada; Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Marco Bandini
- Cancer Prognostics and Health Outcomes Unit, Centre Hospitalier de l'Université de Montréal, Montreal, Canada; Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Vita-Salute, San Raffaele University, Milan, Italy
| | - Michele Marchioni
- Cancer Prognostics and Health Outcomes Unit, Centre Hospitalier de l'Université de Montréal, Montreal, Canada; Department of Urology, SS Annunziata Hospital, G. D'Annunzio University of Chieti, Chieti, Italy
| | - Zhe Tian
- Cancer Prognostics and Health Outcomes Unit, Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | - Denis Soulières
- Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | - Emanuele Montanari
- Department of Urology, IRCCS Fondazione Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Dario Ratti
- Academic Urology Department, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Pietro Acquati
- Academic Urology Department, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Alberto Briganti
- Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Vita-Salute, San Raffaele University, Milan, Italy
| | | | - Firas Abdollah
- Center for Outcomes Research, Analytics, and Evaluation, Vattikuti Urology Institute, Henry Ford Health System, Detroit, MI, USA
| | - Luca Carmignani
- Academic Urology Department, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Pierre I Karakiewicz
- Cancer Prognostics and Health Outcomes Unit, Centre Hospitalier de l'Université de Montréal, Montreal, Canada
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5
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Abdollah F, Sammon JD, Reznor G, Sood A, Schmid M, Klett DE, Sun M, Aizer AA, Choueiri TK, Hu JC, Kim SP, Kibel AS, Nguyen PL, Menon M, Trinh QD. Medical androgen deprivation therapy and increased non-cancer mortality in non-metastatic prostate cancer patients aged ≥66 years. Eur J Surg Oncol 2015. [PMID: 26210655 DOI: 10.1016/j.ejso.2015.06.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
PURPOSE To examine the potential relationship between androgen deprivation therapy and other-cause mortality (OCM) in patients with prostate cancer treated with medical primary-androgen deprivation therapy, prostatectomy, or radiation. METHODS A total of 137,524 patients with non-metastatic PCa treated between 1995 and 2009 within the Surveillance Epidemiology and End Results Medicare-linked database were included. Cox-regression analysis tested the association of ADT with OCM. A 40-item comorbidity score was used for adjustment. RESULTS Overall, 9.3% of patients harbored stage III-IV disease, and 57.7% of patients received ADT. The mean duration of ADT exposure was 22.9 months (median: 9.1; IQR: 2.8-31.5). Mean and median follow-up were 66.9, and 60.4 months, respectively. At 10 years, overall-OCM rate was 36.5%; it was 30.6% in patients treated without ADT vs. 40.1% in patients treated with ADT (p < 0.001). In multivariable-analysis, ADT was associated with an increased risk of OCM (Hazard-ratio [HR]: 1.11, 95% Confidence-interval [95% CI]: 1.08-1.13). Patients with no comorbidity (10-year OCM excess risk: 9%) were more subject to harm from ADT than patients with high comorbidity (10-year OCM excess risk: 4.7%). CONCLUSIONS In patients with PCa, treatment with medical ADT may increase the risk of mortality due to causes other than PCa. Whether this is a simple association or a cause-effect relationship is unknown and warrants further study in prospective studies.
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Affiliation(s)
- F Abdollah
- Vattikuti Urology Institute & VUI Center for Outcomes Research Analytics and Evaluation, Henry Ford Health System, Detroit, MI, USA.
| | - J D Sammon
- Vattikuti Urology Institute & VUI Center for Outcomes Research Analytics and Evaluation, Henry Ford Health System, Detroit, MI, USA
| | - G Reznor
- Division of Urologic Surgery and Center for Surgery & Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Sood
- Vattikuti Urology Institute & VUI Center for Outcomes Research Analytics and Evaluation, Henry Ford Health System, Detroit, MI, USA
| | - M Schmid
- Division of Urologic Surgery and Center for Surgery & Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Urology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - D E Klett
- Vattikuti Urology Institute & VUI Center for Outcomes Research Analytics and Evaluation, Henry Ford Health System, Detroit, MI, USA
| | - M Sun
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Centre, Montreal, Canada
| | - A A Aizer
- Harvard Radiation Oncology Program, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - T K Choueiri
- Department of Medical Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - J C Hu
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, USA
| | - S P Kim
- Department of Urology, Yale University, New Haven, CT, USA
| | - A S Kibel
- Division of Urologic Surgery and Center for Surgery & Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - P L Nguyen
- Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - M Menon
- Vattikuti Urology Institute & VUI Center for Outcomes Research Analytics and Evaluation, Henry Ford Health System, Detroit, MI, USA
| | - Q-D Trinh
- Division of Urologic Surgery and Center for Surgery & Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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6
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Gandaglia G, Karakiewicz PI, Abdollah F, Becker A, Roghmann F, Sammon JD, Kim SP, Perrotte P, Briganti A, Montorsi F, Trinh QD, Sun M. The effect of age at diagnosis on prostate cancer mortality: a grade-for-grade and stage-for-stage analysis. Eur J Surg Oncol 2014; 40:1706-15. [PMID: 24915856 DOI: 10.1016/j.ejso.2014.05.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 04/28/2014] [Accepted: 05/04/2014] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To evaluate the effect of advancing age on cancer-specific mortality (CSM) after radical prostatectomy (RP). MATERIALS AND METHODS Overall, 205,551 patients with PCa diagnosed between 1988 and 2009 within the Surveillance Epidemiology and End Results (SEER) database were included in the study. Patients were stratified according to age at diagnosis: ≤ 50, 51-60, 61-70, and ≥ 71 years. The 15-year cumulative incidence CSM rates were computed. Competing-risks regression models were performed to test the effect of age on CSM in the entire cohort, and for each grade (Gleason score 2-4, 5-7, and 8-10) and stage (pT2, pT3a, and pT3b) sub-cohorts. RESULTS Advancing age was associated with higher 15-year CSM rates (2.3 vs. 3.4 vs. 4.6 vs. 6.3% for patients aged ≤ 50 vs. 51-60 vs. 61-70 vs. ≥ 71 years, respectively; P < 0.001). In multivariable analyses, age at diagnosis was a significant predictor of CSM. This relationship was also observed in sub-analyses focusing on patients with Gleason score 5-7, and/or pT2 disease (all P ≤ 0.05). Conversely, age failed to reach the independent predictor status in men with Gleason score 2-4, 8-10, pT3a, and/or pT3b disease. CONCLUSIONS Advancing age increases the risk of CSM. However, when considering patients affected by more aggressive disease, age was not significantly associated with higher risk of dying from PCa. In high-risk patients, tumor characteristics rather than age should be considered when making treatment decisions.
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Affiliation(s)
- G Gandaglia
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Centre, Montreal, Canada; Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
| | - P I Karakiewicz
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Centre, Montreal, Canada
| | - F Abdollah
- Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
| | - A Becker
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Centre, Montreal, Canada; Martiniclinic, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - F Roghmann
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Centre, Montreal, Canada; Department of Urology, Ruhr-University Bochum, Germany
| | - J D Sammon
- Vattikuti Urology Institute, Henry Ford Health System, Detroit, MI, USA
| | - S P Kim
- Department of Urology, Mayo Clinic, Rochester, NY, USA
| | - P Perrotte
- Department of Urology, University of Montreal Health Centre, Montreal, Canada
| | - A Briganti
- Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
| | - F Montorsi
- Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Q-D Trinh
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Centre, Montreal, Canada; Department of Surgery, Division of Urology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - M Sun
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Centre, Montreal, Canada
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