Nomograms as predictive models Academic Article uri icon

Overview

MeSH Major

  • Outcome Assessment (Health Care)
  • Prostatic Neoplasms

abstract

  • Nomograms are valuable tools for estimating the likelihood of cancer being diagnosed, the pathologic features of a localized cancer, and the prognosis of a patient after treatment. Although the available nomograms are reasonably accurate, better predictive factors including additional clinical factors and new molecular analyses are needed to improve the accuracy or predictions. Nomogram performance will also be enhanced with larger datasets of patients and longer follow-up. We review the concepts of risk stratification and the development and use of nomograms as predictive tools.

publication date

  • May 27, 2002

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed ID

  • 12012296

Additional Document Info

start page

  • 108

end page

  • 15

volume

  • 20

number

  • 2