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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.
Mbizvo, Gashirai K; Bennett, Kyle H; Simpson, Colin R; Duncan, Susan E; Chin, Richard F M; Larner, Andrew J.
Afiliação
  • Mbizvo GK; Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
  • Bennett KH; Muir Maxwell Epilepsy Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
  • Simpson CR; Muir Maxwell Epilepsy Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
  • Duncan SE; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Chin RFM; School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.
  • Larner AJ; Muir Maxwell Epilepsy Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Epilepsia ; 64(6): 1466-1468, 2023 06.
Article em En | MEDLINE | ID: mdl-36756707
ABSTRACT
The 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epilepsia Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Epilepsia Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epilepsia Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Epilepsia Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido