Pooled individual patient data from five countries were used to derive a clinical prediction rule for coronary artery disease in primary care

Marc Aerts*, Girma Minalu, Stefan Boesner, Frank Buntinx, Bernard Burnand, Joerg Haasenritter, Lilli Herzig, J. Andre Knottnerus, Staffan Nilsson, Walter Renier, Carol Sox, Harold Sox, Norbert Donner-Banzhoff, Int Working Grp Chest Pain Primary

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)120-128
Number of pages9
JournalJournal of Clinical Epidemiology
Volume81
DOIs
Publication statusPublished - Jan 2017

Keywords

  • Chest pain
  • Individual patient data meta-analysis
  • Myocardial ischemia
  • Medical history taking
  • Symptom assessment
  • Primary health care
  • Sensitivity and specificity
  • CHEST-PAIN
  • HEART-DISEASE
  • METHODOLOGICAL STANDARDS
  • VALIDATION
  • PROTOCOL
  • HISTORY
  • CURVES
  • MODELS

Cite this

Aerts, M., Minalu, G., Boesner, S., Buntinx, F., Burnand, B., Haasenritter, J., Herzig, L., Knottnerus, J. A., Nilsson, S., Renier, W., Sox, C., Sox, H., Donner-Banzhoff, N., & Int Working Grp Chest Pain Primary (2017). Pooled individual patient data from five countries were used to derive a clinical prediction rule for coronary artery disease in primary care. Journal of Clinical Epidemiology, 81, 120-128. https://doi.org/10.1016/j.jclinepi.2016.09.011