A Competing-Risks Analysis of Survival After Alternative Treatment Modalities for Prostate Cancer Patients: 1988-2006

被引:149
作者
Abdollah, Firas [1 ,2 ]
Sun, Maxine [1 ]
Thuret, Rodolphe [1 ,2 ,3 ]
Jeldres, Claudio [1 ,2 ,3 ,4 ,5 ]
Tian, Zhe [1 ]
Briganti, Alberto [2 ]
Shariat, Shahrokh F. [4 ]
Perrotte, Paul [1 ,2 ,3 ,4 ,5 ]
Rigatti, Patrizio [2 ]
Montorsi, Francesco [2 ]
Karakiewicz, Pierre I. [1 ,2 ,3 ,4 ,5 ]
机构
[1] Univ Montreal Hlth Ctr CHUM, Canc Prognost & Hlth Outcome Unit, Montreal, PQ H2X 3J4, Canada
[2] Univ Vita Salute San Raffaele, Dept Urol, Milan, Italy
[3] Univ Montpellier, Ctr Hlth, Dept Urol, F-34059 Montpellier, France
[4] Cornell Univ, Weill Med Coll, Dept Urol, New York, NY 10021 USA
[5] Univ Montreal, Dept Urol, Ctr Hlth, Montreal, PQ, Canada
关键词
Observation; Prostatic neoplasms/mortality; Prostatic neoplasms/therapy; Radiotherapy/statistics and numerical data; SEER Program; United States/epidemiology; RADICAL PROSTATECTOMY; UNITED-STATES; MEN; MANAGEMENT; OUTCOMES;
D O I
10.1016/j.eururo.2010.10.003
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: The efficacy of prostate cancer (PCa) treatment modalities is a subject of continuous debate. Objective: We tested the hypothesis that significant differences in survival rates may exist among PCa patients treated with radical prostatectomy (RP), radiation therapy (RT), and observation. Design, setting, and participants: We focused on 404 604 patients with clinically localized PCa within 17 Surveillance, Epidemiology and End Results registries. Measurements: Competing-risks survival analyses were used to estimate cancer-specific mortality (CSM) and other-cause mortality (OCM) rates. Patients were stratified according to treatment type, age group, and PCa risk group (high risk: T2c and/or Gleason score 8-10; low to intermediate risk: all others). Results and limitations: The 10-yr CSM and OCM rates were 6.1% and 29.2%, respectively. In RP, RT, and observation patients, CSM rates were 3.6%, 6.5%, and 10.8% (p < 0.001), respectively; OCM rates were 17.1%, 32.4%, and 48.9% (p < 0.001), respectively. In low-to intermediate-risk patients, the lowest CSM (1.3-3.7%) and OCM (6.9-31.6%) rates within all age categories except octogenarians (8.9% and 62.8%, respectively) were recorded in RP. In high-risk patients, the lowest CSM (5.8-7.2%) and OCM (8.7-16.1%) rates in patients aged <= 69 yr were also recorded in RP. RT was equally favorable to RP in the 70-79 age category and appeared ideal in all octogenarian patients. Conclusions: Our results showed that RP provides the most favorable survival rates in most patients. The exception is octogenarian men, in whom RT provides the best results. Finally, the least-favorable outcomes were recorded after observation. However, these findings must be interpreted within the context of the limitations of observational data. (C) 2010 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:88 / 95
页数:8
相关论文
共 20 条
[1]   Statistical considerations when assessing outcomes following treatment for prostate cancer [J].
Albertsen, PC ;
Hanley, JA ;
Murphy-Setzko, M .
JOURNAL OF UROLOGY, 1999, 162 (02) :439-444
[2]  
[Anonymous], SEER Cancer statistics review, 1997-2003 Available
[3]  
[Anonymous], NCCN CLIN PRACT GUID
[4]   Radical prostatectomy versus watchful waiting in localized prostate cancer:: the Scandinavian Prostate Cancer Group-4 randomized trial [J].
Bill-Axelson, Anna ;
Holmberg, Lars ;
Filen, Frej ;
Ruutu, Mirja ;
Garmo, Hans ;
Busch, Christer ;
Nordling, Stig ;
Haggman, Michael ;
Andersson, Swen-Olof ;
Bratell, Stefan ;
Spangberg, Anders ;
Palmgren, Juni ;
Adami, Hans-Olov ;
Johansson, Jan-Erik .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2008, 100 (16) :1144-1154
[5]  
COOPERBERG MR, CANCER IN PRESS, DOI DOI 10.1002/CNCR.25456
[6]   Retropubic, Laparoscopic, and Robot-Assisted Radical Prostatectomy: A Systematic Review and Cumulative Analysis of Comparative Studies [J].
Ficarra, Vincenzo ;
Novara, Giacomo ;
Artibani, Walter ;
Cestari, Andrea ;
Galfano, Antonio ;
Graefen, Markus ;
Guazzoni, Giorgio ;
Guillonneau, Bertrand ;
Menon, Mani ;
Montorsi, Francesco ;
Patel, Vipul ;
Rassweiler, Jens ;
Van Poppel, Hendrik .
EUROPEAN UROLOGY, 2009, 55 (05) :1037-1063
[7]   A proportional hazards model for the subdistribution of a competing risk [J].
Fine, JP ;
Gray, RJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1999, 94 (446) :496-509
[8]   A CLASS OF K-SAMPLE TESTS FOR COMPARING THE CUMULATIVE INCIDENCE OF A COMPETING RISK [J].
GRAY, RJ .
ANNALS OF STATISTICS, 1988, 16 (03) :1141-1154
[9]  
Heidenreich A, 2008, EUR UROL, V53, P68, DOI 10.1016/j.eururo.2007.09.002
[10]   Five-year survival after surgical treatment for kidney cancer - A population-based competing risk analysis [J].
Hollingsworth, John M. ;
Miller, David C. ;
Daignault, Stephanie ;
Hollenbeck, Brent K. .
CANCER, 2007, 109 (09) :1763-1768