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Predictive ability of partin tables 2001 in a Welsh population
Rajinikanth Ayyathurai1, Krishnan Ananthakrishnan, Ramanan Rajasundaram
1Department of Urology, Glan Clwyd Hospital, Conwy and Denbighshire NHS Trust, Rhyl, Denbighshire, UK. rayyathurai@gmail.com
Urologia Internationalis
|April 8, 2006
Summary
Partin tables accurately predict prostate cancer outcomes in Welsh patients, validating their use in diverse populations. This aids in surgical counseling and patient selection for radical prostatectomy.
Area of Science:
- Urology
- Oncology
- Medical Statistics
Background:
- Partin tables are crucial for preoperative counseling in radical prostatectomy for prostate cancer.
- Existing Partin tables are based on a US population, potentially limiting their applicability to other ethnic groups.
- North Wales presents a distinct ethnic demographic compared to the USA.
Purpose of the Study:
- To evaluate the predictive accuracy of Partin tables in a Welsh cohort undergoing radical prostatectomy.
- To determine if Partin tables' predictions for prostate cancer staging are reliable for a non-US population.
Main Methods:
- Retrospective analysis of 177 patients who underwent radical retropubic prostatectomy in North Wales.
- Utilized preoperative clinical staging data for 177 patients.
- Employed Receiver Operating Characteristic (ROC) curve analysis to assess predictive performance.
Main Results:
- The study included 177 patients with localized prostate cancer; 75% had organ-confined disease.
- Partin tables demonstrated strong predictive accuracy: ROC AUC for organ confinement was 0.733, for seminal vesicle invasion 0.738, and for lymph node metastasis 0.780.
- Key pathological findings included 13.5% with extracapsular extension and 9% with seminal vesicle invasion.
Conclusions:
- The predictive performance of Partin tables for prostate cancer staging is applicable to a Welsh population.
- These findings support the continued use of Partin tables for patient counseling and surgical planning in this demographic.
- The study validates the generalizability of Partin tables across different ethnic populations.
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