Evidence-Based Utilization of Prognostic Prediction Models in Cardiovascular Medicine

• Iwakami Naotsugu

  Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center Department of Research Promotion and Management, National Cerebral and Cardiovascular Center Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/Public Health

• Nagai Toshiyuki

  Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University

• Furukawa Toshiaki A.

  Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/Public Health

• Nishimura Kunihiro

  Department of Preventive Medicine and Epidemiology Informatics, National Cerebral and Cardiovascular Center

• Anzai Toshihisa

  Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University

抄録

Prediction models are combinations of predictors to assess the risks of specific endpoints such as the presence or prognosis of a disease. Many novel predictors have been developed, modelling techniques have been evolving, and prediction models are currently abundant in the medical literature, especially in cardiovascular medicine, but evidence is still lacking regarding how to use them. Recent methodological advances in systematic reviews and meta-analysis have enabled systematic evaluation of prediction model studies and quantitative analysis to identify determinants of model performance. Knowing what is critical to model performance, under what circumstances model performance remains adequate, and when a model might require further adjustment and improvement will facilitate effective utilization of prediction models and will enhance diagnostic and prognostic accuracy in clinical practice. In this review article, we provide a current methodological overview of the attempts to implement evidence-based utilization of prognostic prediction models for all potential model users, including patients and their families, health-care providers, administrators, researchers, guideline developers and policy makers.

収録刊行物

• Circulation Reports

  Circulation Reports 2 (1), 10-16, 2020-01-10

  一般社団法人 日本循環器学会

キーワード

• Heart failure
• Mortality
• Prediction model
• Systematic review

詳細情報

• CRID: 1390283659838891392
• NII論文ID: 130007784350
• DOI: 10.1253/circrep.cr-19-0111
• ISSN: 24340790
• Web Site: https://www.jstage.jst.go.jp/article/circrep/2/1/2_CR-19-0111/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2020341983
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可