Prostate cancer predicting factors: a preliminary report from Tehran

Urol J. 2012 Fall;9(4):667-72.

Abstract

Purpose: To determine the probability of having prostate cancer (PCa) using the combination of serum level of prostate-specific antigen (PSA) and age.

Materials and methods: A total of 160 patients and 190 controls were enrolled in this hospital-based case-control study. Using a logistic regression model and the odds ratio of age and PSA level, the probability of PCa was estimated based on serum level of PSA and age of the participants.

Results: The mean age of patients with PCa and benign prostatic hyperplasia (BPH) was 67.75 ± 8.81 and 62.07 ± 8.71 years, respectively (P < .000). Using univariate analysis, we found that increase in life decades of the cases almost doubles the risk of having PCa (odds ratio = 1.95; P = .00), and the probability of developing cancer may increase by 74% in ketchup consumers. After multiple variable regressions, it was revealed that the odds of developing PCa increase by 90% only for every decade, and other variables did not have any significant association with PCa.

Conclusion: In clinical practice, PSA level combined with the age at presentation can be used as predictors of PCa probability and the necessity of biopsy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Case-Control Studies
  • Diet
  • Early Detection of Cancer
  • Humans
  • Iran
  • Logistic Models
  • Male
  • Middle Aged
  • Odds Ratio
  • Probability
  • Prostate-Specific Antigen / blood*
  • Prostatic Neoplasms / blood*
  • Prostatic Neoplasms / diagnosis*
  • ROC Curve
  • Risk Assessment
  • Risk Factors

Substances

  • Prostate-Specific Antigen