Literature DB >> 34862535

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

Hendrik-Jan Mijderwijk1, Daan Nieboer2.   

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

Entities:  

Keywords:  Decision curve analysis; Net benefit; Prediction model; Tutorial paper

Mesh:

Year:  2022        PMID: 34862535     DOI: 10.1007/978-3-030-85292-4_15

Source DB:  PubMed          Journal:  Acta Neurochir Suppl        ISSN: 0065-1419


  1 in total

1.  MRI-based nomogram for differentiation of ovarian fibrothecoma and broad ligament myoma.

Authors:  Jingya Chen; Hailei Gu; Yu Zhang; Weimin Fan; Shuai Chen; Yajing Wang; Ting Wu; Wenwei Tang; Zhongqiu Wang
Journal:  Sci Rep       Date:  2022-05-17       Impact factor: 4.996

  1 in total

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