Prognostic models in the clinical arena

Making a prognosis is to predict the course of a disease and estimate the probability (or risk) of the appearance of a given outcome in relationship to clinical or non-clinical characteristics. Prognostic assessment is usually modelled by multivariable mathematic equations (prognostic models). In th...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Aging clinical and experimental research 2012-08, Vol.24 (4), p.300-304
Hauptverfasser:	Bolignano, Davide, Mattace-Raso, Francesco, Torino, Claudia, D’Arrigo, Graziella, ElHafeez, Samar Abd, Provenzano, Fabio, Zoccali, Carmine, Tripepi, Giovanni
Format:	Artikel
Sprache:	eng
Schlagworte:	Aging Blood pressure Calibration Cancer Cardiovascular disease Diabetes Geriatrics/Gerontology Heart attacks Humans Medicine Medicine & Public Health Models, Statistical Probability Prognosis Review Article Risk Studies Variables
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Making a prognosis is to predict the course of a disease and estimate the probability (or risk) of the appearance of a given outcome in relationship to clinical or non-clinical characteristics. Prognostic assessment is usually modelled by multivariable mathematic equations (prognostic models). In this article we describe what a prognostic model is, how to build a good one, why and how it is important to evaluate its generalizability and accuracy by means of discrimination, calibration and reclassification.
ISSN:	1594-0667 1720-8319
DOI:	10.1007/BF03325262