Using Critical Success Index or Gilbert Skill Score as composite measures of positive predictive value and sensitivity in diagnostic accuracy studies: Weather forecasting informing epilepsy research

Author:

Mbizvo Gashirai K.12ORCID,Bennett Kyle H.2ORCID,Simpson Colin R.34,Duncan Susan E.25,Chin Richard F. M.26ORCID,Larner Andrew J.7

Affiliation:

1. Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology University of Liverpool Liverpool UK

2. Muir Maxwell Epilepsy Centre, Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK

3. Usher Institute University of Edinburgh Edinburgh UK

4. School of Health, Wellington Faculty of Health Victoria University of Wellington Wellington New Zealand

5. Department of Clinical Neurosciences NHS Lothian Edinburgh UK

6. Royal Hospital for Children and Young People Edinburgh UK

7. Cognitive Function Clinic Walton Centre NHS Foundation Trust Liverpool UK

Abstract

AbstractThe Critical Success Index (CSI) and Gilbert Skill score (GS) are verification measures that are commonly used to check the accuracy of weather forecasting. In this article, we propose that they can also be used to simplify the joint interpretation of positive predictive value (PPV) and sensitivity estimates across diagnostic accuracy studies of epilepsy data. This is because CSI and GS each provide a single measure that takes the weather forecasting equivalent of PPV and sensitivity into account. We have re‐analysed data from our recent systematic review of diagnostic accuracy studies of administrative epilepsy data using CSI and GS. We summarise the results and benefits of this approach.

Publisher

Wiley

Subject

Neurology (clinical),Neurology

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