Abstract
Decision analysis is crucial to the formulation of treatment strategies. This classical approach relies on the predictive power of statistical models, which can be represented graphically as nomograms. Designed to facilitate simple and rapid calculation of probabilities for individual patients, Michael Kattan assesses the utility of several of these nomograms for management of clinically localized prostate cancer. Making predictions is an essential part of any medical decision. It is particularly crucial when considering treatment of clinically localized prostate cancer. Nomograms and prediction model software typically provide the most accurate predictions. Many nomograms have been developed, for all prostate cancer clinical states. Some of these are discussed in this review, as is their utility in facilitating decision making and informed consent.

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