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,

*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, Marc ; Minalu, Girma ; Boesner, Stefan ; Buntinx, Frank ; Burnand, Bernard ; Haasenritter, Joerg ; Herzig, Lilli ; Knottnerus, J. Andre ; Nilsson, Staffan ; Renier, Walter ; Sox, Carol ; Sox, Harold ; Donner-Banzhoff, Norbert. / Pooled individual patient data from five countries were used to derive a clinical prediction rule for coronary artery disease in primary care. In: Journal of Clinical Epidemiology. 2017 ; Vol. 81. pp. 120-128.
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title = "Pooled individual patient data from five countries were used to derive a clinical prediction rule for coronary artery disease in primary care",
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",
author = "Marc Aerts and Girma Minalu and Stefan Boesner and Frank Buntinx and Bernard Burnand and Joerg Haasenritter and Lilli Herzig and Knottnerus, {J. Andre} and Staffan Nilsson and Walter Renier and Carol Sox and Harold Sox and Norbert Donner-Banzhoff",
year = "2017",
month = "1",
doi = "10.1016/j.jclinepi.2016.09.011",
language = "English",
volume = "81",
pages = "120--128",
journal = "Journal of Clinical Epidemiology",
issn = "0895-4356",
publisher = "Elsevier Science",

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Aerts, M, Minalu, G, Boesner, S, Buntinx, F, Burnand, B, Haasenritter, J, Herzig, L, Knottnerus, JA, Nilsson, S, Renier, W, Sox, C, Sox, H, Donner-Banzhoff, N 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, vol. 81, pp. 120-128. https://doi.org/10.1016/j.jclinepi.2016.09.011

Pooled individual patient data from five countries were used to derive a clinical prediction rule for coronary artery disease in primary care. / Aerts, Marc; Minalu, Girma; Boesner, Stefan; Buntinx, Frank; Burnand, Bernard; Haasenritter, Joerg; Herzig, Lilli; Knottnerus, J. Andre; Nilsson, Staffan; Renier, Walter; Sox, Carol; Sox, Harold; Donner-Banzhoff, Norbert.

In: Journal of Clinical Epidemiology, Vol. 81, 01.2017, p. 120-128.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Pooled individual patient data from five countries were used to derive a clinical prediction rule for coronary artery disease in primary care

AU - Aerts, Marc

AU - Minalu, Girma

AU - Boesner, Stefan

AU - Buntinx, Frank

AU - Burnand, Bernard

AU - Haasenritter, Joerg

AU - Herzig, Lilli

AU - Knottnerus, J. Andre

AU - Nilsson, Staffan

AU - Renier, Walter

AU - Sox, Carol

AU - Sox, Harold

AU - Donner-Banzhoff, Norbert

PY - 2017/1

Y1 - 2017/1

KW - Chest pain

KW - Individual patient data meta-analysis

KW - Myocardial ischemia

KW - Medical history taking

KW - Symptom assessment

KW - Primary health care

KW - Sensitivity and specificity

KW - CHEST-PAIN

KW - HEART-DISEASE

KW - METHODOLOGICAL STANDARDS

KW - VALIDATION

KW - PROTOCOL

KW - HISTORY

KW - CURVES

KW - MODELS

U2 - 10.1016/j.jclinepi.2016.09.011

DO - 10.1016/j.jclinepi.2016.09.011

M3 - Article

VL - 81

SP - 120

EP - 128

JO - Journal of Clinical Epidemiology

JF - Journal of Clinical Epidemiology

SN - 0895-4356

ER -