Is My Clinical Prediction Model Clinically Useful? A Primer on Decision Curve Analysis

Hendrik Jan Mijderwijk*, Daan Nieboer

*Corresponding author for this work

Research output: Chapter/Conference proceedingChapterAcademic

4 Citations (Scopus)

Abstract

Decision curve analysis is an increasingly popular method to assess the impact of a prediction model on medical decision making. The analysis provides a graphical summary. A basic understanding of a decision curve is needed to interpret these graphics. This short introduction addresses the common features of a decision curve. Furthermore, using a glioblastoma patient set provided by the Machine Intelligence in Clinical Neuroscience Lab from the Department of Neurosurgery and Clinical Neuroscience Center, University Hospital Zurich a decision curve is plotted for two prediction models. The corresponding R code is provided.

Original languageEnglish
Title of host publicationActa Neurochirurgica, Supplementum
PublisherSpringer Science+Business Media
Pages115-118
Number of pages4
Volume134
DOIs
Publication statusPublished - 2022

Publication series

SeriesActa Neurochirurgica, Supplementum
Volume134
ISSN0065-1419

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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