title: A multivariable logistic regression equation to evaluate prostate cancer.
abstract: OBJECTIVE
  A possible means of decreasing prostate cancer mortality is through improved early detection. We attempted to create an equation to predict the likelihood of having prostate cancer.
  
  
  METHODS
  Between January 2005 and May 2008, patients who received prostate biopsies were retrospective evaluated. The relationship between the possibility of prostate cancer and the following variables were evaluated: age; serum prostate specific antigen (PSA) level, prostate volume, numbers of prostatic biopsies, digital rectal examination (DRE) findings, and the presence of hypoechoic nodule under transrectal ultrasonography.
  
  
  RESULTS
  A multivariate regression model was created to predict the possibility of having prostate cancer, and a receiver-operating characteristic (ROC) curve was drawn based on the predictive scoring equation. Using a predictive equation, P=1/(1-e(-x)), where X=-4.88,+1.11 (if DRE positive),+0.75 (if hypoechoic nodule of prostate present),+1.27 (when 7<PSA≤10),+2.02 (when 10<PSA≤24),+2.28 (when 24<PSA≤50),+3.93 (when 50<PSA),+1.23 (when 65<age≤75),+1.66 (when 75<age), followed by ROC curve analysis, we showed that the sensitivity was 88.5% and specificity was 79.1% in predicting the possibility of prostate cancer.
  
  
  CONCLUSIONS
  Clinicians can tailor each patient's follow-up according to the nomogram based on this equation to increase the efficacy of evaluating for prostate cancer.
authors: Division of Urology, Departments of Surgery, Chi-Mei Medical Center, 901 Chung Hwa Road, Yung Kang City,Tainan, Taiwan.
authors: Jhih-Cheng
authors: JC
authors: Wang
authors: Steven K
authors: SK
authors: Huan
authors: Jinn-Rung
authors: JR
authors: Kuo
authors: Chin-Li
authors: CL
authors: Lu
authors: Hung
authors: H
authors: Lin
authors: Kun-Hung
authors: KH
authors: Shen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D051517:Digital Rectal Examination; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017430:Prostate-Specific Antigen / Q000097:blood; D011471:Prostatic Neoplasms / Q000175:diagnosis / Q000209:etiology*; D012372:ROC Curve; D012189:Retrospective Studies
chemical_list: D017430:Prostate-Specific Antigen