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Research

Feasibility of identifying and describing the burden of early-onset metabolic syndrome in primary care electronic medical record data: a cross-sectional analysis

Jamie J. Boisvenue, Carlo U. Oliva, Donna P. Manca, Jeffrey A. Johnson and Roseanne O. Yeung
November 24, 2020 8 (4) E779-E787; DOI: https://doi.org/10.9778/cmajo.20200007
Jamie J. Boisvenue
School of Public Health (Boisvenue, Johnson, Yeung), and Department of Computing Science (Oliva), Faculty of Science, and Department of Family Medicine (Manca), Faculty of Medicine & Dentistry, University of Alberta; Northern Alberta Primary Care Research Network (Manca); Division of Endocrinology and Metabolism (Yeung), Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.
MSc
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Carlo U. Oliva
School of Public Health (Boisvenue, Johnson, Yeung), and Department of Computing Science (Oliva), Faculty of Science, and Department of Family Medicine (Manca), Faculty of Medicine & Dentistry, University of Alberta; Northern Alberta Primary Care Research Network (Manca); Division of Endocrinology and Metabolism (Yeung), Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.
BSc
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Donna P. Manca
School of Public Health (Boisvenue, Johnson, Yeung), and Department of Computing Science (Oliva), Faculty of Science, and Department of Family Medicine (Manca), Faculty of Medicine & Dentistry, University of Alberta; Northern Alberta Primary Care Research Network (Manca); Division of Endocrinology and Metabolism (Yeung), Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.
MD
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Jeffrey A. Johnson
School of Public Health (Boisvenue, Johnson, Yeung), and Department of Computing Science (Oliva), Faculty of Science, and Department of Family Medicine (Manca), Faculty of Medicine & Dentistry, University of Alberta; Northern Alberta Primary Care Research Network (Manca); Division of Endocrinology and Metabolism (Yeung), Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.
PhD
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Roseanne O. Yeung
School of Public Health (Boisvenue, Johnson, Yeung), and Department of Computing Science (Oliva), Faculty of Science, and Department of Family Medicine (Manca), Faculty of Medicine & Dentistry, University of Alberta; Northern Alberta Primary Care Research Network (Manca); Division of Endocrinology and Metabolism (Yeung), Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.
MD
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Article Information

vol. 8 no. 4 E779-E787
DOI 
https://doi.org/10.9778/cmajo.20200007
PubMed 
33234585
History 
  • Published online November 24, 2020.
Copyright & Usage 
Copyright 2020, Joule Inc. or its licensors

Author Information

  1. Jamie J. Boisvenue, MSc,
  2. Carlo U. Oliva, BSc,
  3. Donna P. Manca, MD,
  4. Jeffrey A. Johnson, PhD,
  5. Roseanne O. Yeung, MD
  1. School of Public Health (Boisvenue, Johnson, Yeung), and Department of Computing Science (Oliva), Faculty of Science, and Department of Family Medicine (Manca), Faculty of Medicine & Dentistry, University of Alberta; Northern Alberta Primary Care Research Network (Manca); Division of Endocrinology and Metabolism (Yeung), Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.
  1. Correspondence to: Jamie Boisvenue, boisvenu{at}ualberta.ca
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CMAJ Open: 8 (4)
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Feasibility of identifying and describing the burden of early-onset metabolic syndrome in primary care electronic medical record data: a cross-sectional analysis
Jamie J. Boisvenue, Carlo U. Oliva, Donna P. Manca, Jeffrey A. Johnson, Roseanne O. Yeung
Oct 2020, 8 (4) E779-E787; DOI: 10.9778/cmajo.20200007

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Feasibility of identifying and describing the burden of early-onset metabolic syndrome in primary care electronic medical record data: a cross-sectional analysis
Jamie J. Boisvenue, Carlo U. Oliva, Donna P. Manca, Jeffrey A. Johnson, Roseanne O. Yeung
Oct 2020, 8 (4) E779-E787; DOI: 10.9778/cmajo.20200007
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