Accession Number:

ADA413542

Title:

Development of Internet-Accessible Prediction Models for Prostate Cancer Diagnosis, Treatment, and Follow-Up

Descriptive Note:

Annual rept. 14 Dec 2001-13 Dec 2002

Corporate Author:

HENRY M JACKSON FOUNDATION FOR THE ADVANCEMENT OF MILITARY MEDICINE ROCKVILLEMD

Report Date:

2003-01-01

Pagination or Media Count:

123.0

Abstract:

The objective of the development of Internet-accessible prediction models is to enhance the diagnosis accuracy, treatment efficacy and prognosis for patients with carcinoma of prostate cancer Cap. An Oracle database was created, and Internet-accessible data collection applications were developed. Program packages for daily data retrieval, standardization, and reorganization were built. The roles of variables raceethnicity, diagnostic age, labs - and treatment types on the outcome of CaP patients were analyzed. The results show that CaP patients who chose watchful waiting tend to be older with lower serum PSA and lower Gleason score. The age at diagnosis, diagnostic PSA and clinical T-stage are the most significant predictors of secondary treatment in watchful waiting submitted to J Urol. Pre-treatment testosterone level is a predictor of PSA recurrence accepted for publication in J Urol. Post-treatment PSA doubling time less than 3 months is a surrogate for prostate cancer specific mortality following surgery or radiation therapy submitted to J Urol. Biostatistical models with variables of race, pre-treatment PSA, clinical stage, pathological stage and Gleason sum for predicting PSA recurrence before and after radical prostatectomy were implemented on CPDR webpage www.cpdr.org. Further data analysis and the development of the prediction models are in progress.

Subject Categories:

  • Medicine and Medical Research
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE