NDLI: Predictive Models for Newly Diagnosed Prostate Cancer Patients

Content Provider	PubMed Central
Author	Lowrance, William T. Scardino, Peter T.
Copyright Year	2009
Abstract	Accurate risk assessment is of paramount importance to newly diagnosed prostate cancer patients and their physicians. Risk prediction models help identify those at high (or low) risk of disease progression and guide discussions about prognosis and treatment. Widely used, well-validated prediction tools are based on standard, readily available clinical and pathologic parameters, but do not include biomarkers, some of which may have an important role in predicting prognosis or determining therapeutic options. A new approach, known as systems pathology, may improve the accuracy of traditional prediction methods and provide patients with a more personalized risk assessment of clinically relevant outcomes. The ultimate goal of prediction models is to improve medical decision making.
Starting Page	117
File Format	PDF
ISSN	15236161
Journal	Reviews in Urology
Issue Number	3
Volume Number	11
Language	English
Publisher	MedReviews, LLC
Publisher Date	2009-01-01
Access Restriction	Open
Rights Holder	MedReviews, LLC
Subject Keyword	Urology Research in Higher Education
Content Type	Text
Resource Type	Article

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Predictive Models for Newly Diagnosed Prostate Cancer Patients