How to build and interpret a nomogram for cancer prognosis Journal Article


Authors: Iasonos, A.; Schrag, D.; Raj, G. V.; Panageas, K. S.
Article Title: How to build and interpret a nomogram for cancer prognosis
Abstract: Nomograms are widely used for cancer prognosis, primarily because of their ability to reduce statistical predictive models into a single numerical estimate of the probability of an event, such as death or recurrence, that is tailored to the profile of an individual patient. User-friendly graphical interfaces for generating these estimates facilitate the use of nomograms during clinical encounters to inform clinical decision making. However, the statistical underpinnings of these models require careful scrutiny, and the degree of uncertainty surrounding the point estimates requires attention. This guide provides a nonstatistical audience with a methodological approach for building, interpreting, and using nomograms to estimate cancer prognosis or other health outcomes. © 2008 by American Society of Clinical Oncology.
Keywords: review; cancer recurrence; cancer patient; outcome assessment; methodology; neoplasm; neoplasms; medical decision making; computer interface; cancer mortality; outcome assessment (health care); probability; nomograms; malignant neoplastic disease; statistical model; nomogram; uncertainty
Journal Title: Journal of Clinical Oncology
Volume: 26
Issue: 8
ISSN: 0732-183X
Publisher: American Society of Clinical Oncology  
Date Published: 2008-03-01
Start Page: 1364
End Page: 1370
Language: English
DOI: 10.1200/jco.2007.12.9791
PUBMED: 18323559
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 14" - "Export Date: 17 November 2011" - "CODEN: JCOND" - "Source: Scopus"
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  1. Alexia Elia Iasonos
    362 Iasonos
  2. Katherine S Panageas
    512 Panageas