Key result
Predictive models for radical prostatectomy provide accurate prediction of cancer natural history and improve individualized patient care in both pre-operative and post-operative settings.
Why the study?
Do predictive models improve decision-making and patient care before and after radical prostatectomy?
Do predictive models improve decision-making and patient care before and after radical prostatectomy?
Predictive models before and after radical prostatectomy are valuable tools for tailoring treatment and improving patient care.
Models may aid individualized prostatectomy decisions; leaves open prospective validation of clinical impact.
CONTEXT: In the last 10 years, several user-friendly predictive tools have been developed to help clinicians in decision-making process before and after radical prostatectomy. OBJECTIVE: To review the most known and used predictive models in pre-operative and post-operative setting. EVIDENCE ACQUISITION: A structured, comprehensive literature review was performed using data retrieved from recent review articles, original articles, and abstracts. Used keywords were predictive models, nomograms, look-up tables, classification and regression-tree analysis, artificial neural networks, and radical prostatectomy. EVIDENCE SYNTHESIS: A great amount of predictive models has been provided in oncology setting: nomograms, look-up tables, classification and regression-tree analysis, propensity scores, risk-group stratification models, and artificial neural networks. Pre-surgery predictive tools offer the opportunity of getting the most evidence-based and individualized selection of available treatment alternatives. Post-operative predictive models usually provide higher accuracy relative to the pre-surgery models. CONCLUSIONS: Decisions and treatment should be tailored to each individual patient and to the specific characteristics of patients. A number of available predictive models represent a tool to provide accurate prediction of cancer natural history and to improve patients' care.
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Capitanio et al. (2010) conducted a review in Prostate cancer. Predictive models was evaluated. Predictive models for radical prostatectomy provide accurate prediction of cancer natural history and improve individualized patient care in both pre-operative and post-operative settings.
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