Validation of the Partin Nomogram for Prostate Cancer in a National Sample

列线图 医学 前列腺切除术 前列腺癌 泌尿科 淋巴 阶段(地层学) 前列腺 前列腺特异性抗原 淋巴结 根治性耻骨后前列腺切除术 癌症 妇科 肿瘤科 内科学 病理 古生物学 生物
作者
James B. Yu,Danil V. Makarov,Richa Sharma,Richard E. Peschel,Alan W. Partin,Cary P. Gross
出处
期刊:The Journal of Urology [Lippincott Williams & Wilkins]
卷期号:183 (1): 105-111 被引量:55
标识
DOI:10.1016/j.juro.2009.08.143
摘要

No AccessJournal of UrologyAdult Urology1 Jan 2010Validation of the Partin Nomogram for Prostate Cancer in a National Sample James B. Yu, Danil V. Makarov, Richa Sharma, Richard E. Peschel, Alan W. Partin, and Cary P. Gross James B. YuJames B. Yu Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut More articles by this author , Danil V. MakarovDanil V. Makarov Robert Wood Johnson Clinical Scholars Program, Yale School of Medicine, New Haven, Connecticut Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut More articles by this author , Richa SharmaRicha Sharma School of Epidemiology and Public Health, Yale School of Medicine, New Haven, Connecticut More articles by this author , Richard E. PeschelRichard E. Peschel Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut More articles by this author , Alan W. PartinAlan W. Partin The Brady Urological Institute, The Johns Hopkins Medical Institutions, Baltimore, Maryland More articles by this author , and Cary P. GrossCary P. Gross Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut Robert Wood Johnson Clinical Scholars Program, Yale School of Medicine, New Haven, Connecticut More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2009.08.143AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: The Partin tables are a nomogram that is widely used to discriminate prostate cancer pathological stages, given common preoperative clinical characteristics. The nomogram is based on patients undergoing radical prostatectomy at The Johns Hopkins Medical Institutions. We validated the Partin tables in a large, population based sample. Materials and Methods: The National Cancer Institute Surveillance, Epidemiology and End Results database was used to identify patients treated from 2004 to 2005 who underwent radical prostatectomy. The 2007 Partin tables were used to estimate the prevalence of positive lymph nodes, seminal vesicle invasion, extraprostatic extension and organ confined disease in men with prostate cancer in the database using clinical stage, preoperative prostate specific antigen and Gleason score. The discriminative ability of the tables was explored by constructing ROC curves. Results: We identified 11,185 men who underwent radical prostatectomy for prostate cancer in 2004 to 2005. The Partin tables discriminated well between patient groups at risk for positive lymph nodes and seminal vesicle invasion (AUC 0.77 and 0.74, respectively). The discrimination of extraprostatic extension and organ confined disease was more limited (AUC 0.62 and 0.68, respectively). The AUC for positive lymph nodes was 0.78 in white men, 0.73 in black men and 0.83 in Asian/Pacific Islander men (p = 0.17). The AUC for positive lymph nodes in men 61 years old or younger was 0.80 vs 0.74 in men older than 61 years (p = 0.03). Conclusions: The Partin tables showed excellent discrimination for seminal vesicle invasion and positive lymph nodes. Discrimination of extraprostatic extension and organ confined disease was more limited. The Partin tables performed best in young men. References 1 : Pathologic and clinical findings to predict tumor extent of nonpalpable (stage T1c) prostate cancer. JAMA1994; 271: 368. Google Scholar 2 : The use of prostate specific antigen, clinical stage and Gleason score to predict pathological stage in men with localized prostate cancer. J Urol1993; 150: 110. Abstract, Google Scholar 3 : Combination of prostate-specific antigen, clinical stage, and Gleason score to predict pathological stage of localized prostate cancer: A multi-institutional update. JAMA1997; 277: 1445. Google Scholar 4 : Contemporary update of prostate cancer staging nomograms (Partin tables) for the new millennium. Urology2001; 58: 843. Google Scholar 5 : Updated nomogram to predict pathologic stage of prostate cancer given prostate-specific antigen level, clinical stage, and biopsy Gleason score (Partin Tables) based on cases from 2000 to 2005. Urology2007; 69: 1095. Google Scholar 6 : Long-term biochemical disease-free and cancer-specific survival following anatomic radical retropubic prostatectomy: The 15-year Johns Hopkins experience. Urol Clin North Am2001; 28: 555. Google Scholar 7 : The effect of race/ethnicity on the accuracy of the 2001 Partin Tables for predicting pathologic stage of localized prostate cancer. Urology2008; 71: 151. Google Scholar 8 : How well does the Partin nomogram predict pathological stage after radical prostatectomy in a community based population?: Results of the Cancer of the Prostate Strategic Urologic Research Endeavor. J Urol2002; 167: 1653. Link, Google Scholar 9 : Validation of Partin tables for predicting pathological stage of clinically localized prostate cancer. J Urol2000; 164: 1591. Link, Google Scholar 10 : Comparison of accuracy between Partin tables of 1997 and 2001 to predict final pathologic stage in clinically localized prostate cancer. J Urol2004; 171: 177. Link, Google Scholar 11 : External validation of the updated Partin tables in a cohort of North American men. J Urol2008; 180: 898. Link, Google Scholar 12 : Partin Tables cannot accurately predict the pathological stage at radical prostatectomy. Eur J Surg Oncol2009; 35: 123. Google Scholar 13 : External validation of the updated Partin tables in a cohort of French and Italian men. Int J Radiat Oncol Biol Phys2009; 73: 347. Google Scholar 14 Surveillance, Epidemiology, and End Results Program Limited-Use Data (1973–2005), National Cancer Institute, Division of Cancer Control and Population Sciences, Surveillance Research Program, Cancer Statistics Branch, released April 2008, based on the November 2007 submission (www.seer.cancer.gov). Google Scholar 15 National Cancer Institute: Collaborative Staging Manual and Coding Instructions. http://seer.cancer.gov/tools/collabstaging/index.html. Accessed August 9, 2008. Google Scholar 16 : Percent free prostate-specific antigen (PSA) is an accurate predictor of prostate cancer risk in men with serum PSA 2.5 ng/ml and lower. Cancer2008; 113: 2695. Google Scholar 17 : Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics1988; 44: 837. Google Scholar 18 : Verification of forecasts expressed in terms of probabilities. Mon Wea Rev1950; 78: 1. Google Scholar 19 : Tumor thickness predicts a five-year survival equally as well as more complex prognostic model. Evidence Based Oncol2000; 1: 10. Google Scholar 20 : Investigating black-white differences in prostate cancer prognosis: a systematic review and meta-analysis. Int J Cancer2008; 123: 430. Google Scholar 21 Unequal Treatment, Confronting Racial and Ethnic Disparities in Healthcare: Institute of Medicine. Washington, D.C: National Academies Press2001. Google Scholar 22 : Overdiagnosis due to prostate-specific antigen screening: lessons from U.S. prostate cancer incidence trends. J Natl Cancer Inst2002; 94: 981. Google Scholar 23 : Advanced age at diagnosis is an independent predictor of time to death from prostate carcinoma for patients undergoing external beam radiation therapy for clinically localized prostate carcinoma. Cancer2003; 97: 56. Google Scholar 24 : Grading inaccuracies in diagnostic biopsies revealing prostatic adenocarcinoma: implications for definitive radiation therapy. Int J Radiat Oncol Biol Phys1995; 32: 479. Google Scholar 25 : Lymphovascular invasion is an independent prognostic factor in prostatic adenocarcinoma. J Urol2005; 174: 2181. Link, Google Scholar 26 : Percent tumor involvement and risk of biochemical progression after radical prostatectomy. J Urol2008; 180: 571. Link, Google Scholar 27 : Critical analysis of the ability of the endorectal coil magnetic resonance imaging scan to predict pathologic stage, margin status, and postoperative prostate-specific antigen failure in patients with clinically organ-confined prostate cancer. J Clin Oncol1996; 14: 1770. Google Scholar 28 : PSA velocity is associated with Gleason score in radical prostatectomy specimen: marker for prostate cancer aggressiveness. Urology1689; 109. Google Scholar 29 : Validation of a nomogram predicting the probability of lymph node invasion based on the extent of pelvic lymphadenectomy in patients with clinically localized prostate cancer. BJU Int2006; 98: 788. Google Scholar 30 : Limited pelvic lymph node dissection does not improve biochemical relapse-free survival at 10 years after radical prostatectomy in patients with low-risk prostate cancer. Urology2008; 71: 141. Google Scholar © 2010 by American Urological AssociationFiguresReferencesRelatedDetailsCited byÖtleş E, Denton B, Qu B, Murali A, Merdan S, Auffenberg G, Hiller S, Lane B, George A and Singh K (2021) Development and Validation of Models to Predict Pathological Outcomes of Radical Prostatectomy in Regional and National CohortsJournal of Urology, VOL. 207, NO. 2, (358-366), Online publication date: 1-Feb-2022. Volume 183Issue 1January 2010Page: 105-111 Advertisement Copyright & Permissions© 2010 by American Urological AssociationKeywordsneoplasm stagingnomogramsprostateSEER programprostatic neoplasmsMetricsAuthor Information James B. Yu Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut More articles by this author Danil V. Makarov Robert Wood Johnson Clinical Scholars Program, Yale School of Medicine, New Haven, Connecticut Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut More articles by this author Richa Sharma School of Epidemiology and Public Health, Yale School of Medicine, New Haven, Connecticut More articles by this author Richard E. Peschel Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut More articles by this author Alan W. Partin The Brady Urological Institute, The Johns Hopkins Medical Institutions, Baltimore, Maryland More articles by this author Cary P. Gross Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut Robert Wood Johnson Clinical Scholars Program, Yale School of Medicine, New Haven, Connecticut More articles by this author Expand All Advertisement PDF downloadLoading ...
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
隐形曼青应助李鱼丸采纳,获得10
2秒前
5秒前
6秒前
Erica完成签到,获得积分10
7秒前
Healer完成签到 ,获得积分10
7秒前
给你吃一个屁完成签到,获得积分10
7秒前
不期发布了新的文献求助10
9秒前
上官若男应助kageaki采纳,获得10
9秒前
星辰大海应助辛月采纳,获得10
10秒前
七七八八发布了新的文献求助10
11秒前
Vvvnnnaa1发布了新的文献求助10
11秒前
我是老大应助yongjie20031121采纳,获得10
13秒前
月浅完成签到,获得积分10
13秒前
14秒前
14秒前
Itachi12138完成签到,获得积分10
15秒前
寇婧怡完成签到 ,获得积分10
15秒前
16秒前
深情安青应助Vvvnnnaa1采纳,获得10
17秒前
七七八八完成签到,获得积分10
18秒前
脑洞疼应助jingjing采纳,获得10
18秒前
顾矜应助yongjie20031121采纳,获得10
18秒前
周老八发布了新的文献求助10
19秒前
脑洞疼应助gy采纳,获得10
21秒前
beta发布了新的文献求助10
21秒前
脑洞疼应助周老八采纳,获得10
22秒前
23秒前
野火197完成签到,获得积分10
24秒前
高贵梦秋完成签到,获得积分10
26秒前
Vickicherry应助苏苏采纳,获得10
28秒前
zhourongchun发布了新的文献求助10
30秒前
30秒前
周雪艳完成签到,获得积分20
30秒前
光亮代玉完成签到 ,获得积分10
30秒前
34秒前
34秒前
35秒前
36秒前
37秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 1030
A new approach to the extrapolation of accelerated life test data 1000
Indomethacinのヒトにおける経皮吸収 400
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 370
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3994202
求助须知:如何正确求助?哪些是违规求助? 3534683
关于积分的说明 11266214
捐赠科研通 3274605
什么是DOI,文献DOI怎么找? 1806394
邀请新用户注册赠送积分活动 883273
科研通“疑难数据库(出版商)”最低求助积分说明 809724