title: Comparison of accuracy among three generations of Partin tables in a Chinese cohort.
abstract: BACKGROUND
  To perform a head to head comparison among three generations of Partin tables, namely from 1997, 2001 and the last updated version of 2007, in a Chinese cohort of prostate cancer.
  
  
  METHODS
  Clinical and pathological data of 198 consecutive Chinese patients were retrospectively analyzed, who underwent radical prostatectomy for clinically localized prostate cancer between January 2005 and May 2010. Three versions of the Partin tables were compared for their accuracy and performance to predict final pathological stage using receiver operating characteristic (ROC) curve.
  
  
  RESULTS
  Of the whole cohort 58.6% were presented with organ-confined disease (OCD), 10.1% had lymph node involvement (LNI), and 31.3% had locally advanced disease (LAD), while 21.2% had extraprostatic extension (ECE) and 10.1% showed seminal vesicle involvement (SVI). The area under the ROC curve (AUC) of the Partin Tables 1997, 2001 and 2007 was 0.732, 0.722 and 0.695 for OCD; 0.647, 0.594 and 0.577 for LAD; 0.856, 0.872 and 0.829 for LNI, respectively.
  
  
  CONCLUSIONS
  All three generations of the Partin tables showed a good accuracy to predict OCD, and LNI. However, the predictive accuracy for LAD was more limited. Overall, the newer versions of the Partin tables could not exceed the version of 1997 in their predictive accuracy for the present Chinese cohort. Our results suggest caution when using newly introduced predictive tools that are not supported by population-specific accuracy tests.
authors.affiliation: Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai, China.
authors.forename: Wen-Jun
authors.initials: WJ
authors.lastname: Xiao
authors.forename: Ding-Wei
authors.initials: DW
authors.lastname: Ye
authors.forename: Xu-Dong
authors.initials: XD
authors.lastname: Yao
authors.forename: Shi-Lin
authors.initials: SL
authors.lastname: Zhang
authors.forename: Bo
authors.initials: B
authors.lastname: Dai
authors.forename: Chao-Fu
authors.initials: CF
authors.lastname: Wang
authors.forename: Jian
authors.initials: J
authors.lastname: Wang
authors.forename: Hai-Liang
authors.initials: HL
authors.lastname: Zhang
authors.forename: Yi-Jun
authors.initials: YJ
authors.lastname: Shen
authors.forename: Yao
authors.initials: Y
authors.lastname: Zhu
authors.forename: Yi-Ping
authors.initials: YP
authors.lastname: Zhu
authors.forename: Guo-Hai
authors.initials: GH
authors.lastname: Shi
authors.forename: Chun-Guang
authors.initials: CG
authors.lastname: Ma
authors.forename: Xiao-Jian
authors.initials: XJ
authors.lastname: Qin
authors.forename: Guo-Wen
authors.initials: GW
authors.lastname: Lin
mesh_terms: D000368:Aged; D019540:Area Under Curve; D002681:China; D015331:Cohort Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D017430:Prostate-Specific Antigen / Q000097:blood*; D011471:Prostatic Neoplasms / Q000097:blood* / Q000473:pathology*; D012372:ROC Curve
chemical_list: D017430:Prostate-Specific Antigen