Nomograms as predictive models Journal Article
| Authors: | Eastham, J. A.; Kattan, M. W.; Scardino, P. T. |
| Article Title: | Nomograms as predictive models |
| 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. Copyright 2002, Elsevier Science (USA). All rights reserved. |
| Keywords: | clinical feature; review; cancer diagnosis; sensitivity and specificity; accuracy; pathology; prediction; risk assessment; outcome assessment (health care); prostate cancer; prostatic neoplasms; computer; severity of illness index; models, statistical; molecular biology; outcomes; nomogram; model; predictive models; humans; prognosis; male; priority journal; expert systems |
| Journal Title: | Seminars in Urologic Oncology |
| Volume: | 20 |
| Issue: | 2 |
| ISSN: | 1081-0943 |
| Publisher: | W.B. Saunders Co. |
| Date Published: | 2002-05-01 |
| Start Page: | 108 |
| End Page: | 115 |
| Language: | English |
| PUBMED: | 12012296 |
| PROVIDER: | scopus |
| DOI: | 10.1053/suro.2002.32936 |
| DOI/URL: | |
| Notes: | Export Date: 11 February 2015 -- Source: Scopus |
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