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PRIME-IPD SERIES Part 3. The PRIME-IPD tool fills a gap in guidance for preparing IPD for analysis

  • Omar Dewidar
    Correspondence
    Corresponding author. Phone: +16135010632.
    Affiliations
    Bruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada

    School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada
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  • Alison Riddle
    Affiliations
    Bruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada

    School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada
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  • Elizabeth Ghogomu
    Affiliations
    Bruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada
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  • Alomgir Hossain
    Affiliations
    School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada

    Department of Medicine (Cardiology), The University of Ottawa Heart Institute and University of Ottawa, 40 Ruskin Street, Ottawa, Ontario, K1Y 4W7, Canada
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  • Paul Arora
    Affiliations
    Dalla Lana School of Public Health, University of Toronto, 155 College St Room 500, Toronto, Ontario M5T 3M7, Canada
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  • Zulfiqar A Bhutta
    Affiliations
    Centre for Global Child Health, Hospital for Sick Children, 555 University Ave, Toronto, Ontario, M5G 1X8, Canada

    Institute for Global Health & Development, Aga Khan University, South-Central Asia, East Africa & United Kingdom, Karachi, Pakistan
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  • Robert E Black
    Affiliations
    Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St Suite E8527, Baltimore, Maryland, 21205, United States
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  • Simon Cousens
    Affiliations
    Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), Keppel Street, London, WC1E 7HT, UK
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  • Christine Mathew
    Affiliations
    Bruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada
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  • Jessica Trawin
    Affiliations
    Bruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada
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  • Peter Tugwell
    Affiliations
    Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Rd, Ottawa, Ontario K1H 8L6, Canada

    Department of Medicine, University of Ottawa Faculty of Medicine, Roger Guindon Hall, 451 Smyth Rd #2044, Ottawa, Ontario, K1H 8M5, Canada

    WHO Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity, Bruyère Research Institute, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada
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  • Author Footnotes
    # Joint senior authors.
    Vivian Welch
    Footnotes
    # Joint senior authors.
    Affiliations
    Bruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada

    School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada
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  • Author Footnotes
    # Joint senior authors.
    George A Wells
    Footnotes
    # Joint senior authors.
    Affiliations
    School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada

    Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, 40 Ruskin St, Ottawa, Ontario, K1Y 4W7, Canada
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  • Author Footnotes
    # Joint senior authors.
      We thank Levis et al. for their interest in our study and for sharing their perspective on preparing IPD for analysis. We wish to emphasize that our paper's purpose was to provide guidance on the different steps that should be undertaken when preparing IPD for analysis, but not to be prescriptive about how each step should be performed. The examples provided in the manuscript are examples of how we applied PRIME (Preparation, Replication, Imputation, Merging, Evaluation) to our Network Meta-Analysis and are in no way comprehensive [
      • Welch VA
      • Hossain A
      • Ghogomu E
      • Riddle A
      • Cousens S
      • Gaffey M
      • et al.
      Deworming children for soil-transmitted helminths in low and middle-income countries: systematic review and individual participant data network meta-analysis.
      ,
      • Welch VA
      • Ghogomu E
      • Hossain A
      • Riddle A
      • Gaffey M
      • Arora P
      • et al.
      Mass deworming for improving health and cognition of children in endemic helminth areas: a systematic review and individual participant data network meta-analysis.
      . The suggestions provided by Levis et al. in their commentary emphasize the importance of having a structured process for managing IPD. We agree that the finer details of that structured process may vary since they should be determined by the nature of the datasets and share Levis et al.’s desire to see our framework refined in order to develop a robust scientific process to answer the research questions with validity.
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      References

        • Welch VA
        • Hossain A
        • Ghogomu E
        • Riddle A
        • Cousens S
        • Gaffey M
        • et al.
        Deworming children for soil-transmitted helminths in low and middle-income countries: systematic review and individual participant data network meta-analysis.
        J Dev Effect. 2019; 11: 288-306
        • Welch VA
        • Ghogomu E
        • Hossain A
        • Riddle A
        • Gaffey M
        • Arora P
        • et al.
        Mass deworming for improving health and cognition of children in endemic helminth areas: a systematic review and individual participant data network meta-analysis.
        Campbell Syst Rev. 2019; 15: e1058
        • Austin PC.
        Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research.
        Commun Stat Simul Comput. 2009; 38: 1228-1234
        • Austin PC.
        Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement.
        J Thorac Cardiovasc Surg. 2007; 134: 1128-1135
        • Austin PC.
        A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003.
        Stat Med. 2008; 27: 2037-2049
        • Normand ST
        • Landrum MB
        • Guadagnoli E
        • Ayanian JZ
        • Ryan TJ
        • Cleary PD
        • et al.
        Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores.
        J Clin Epidemiol. 2001; 54: 387-398
        • Rubin DB
        • Schenker N.
        Multiple imputation in health-care databases: an overview and some applications.
        Stat Med. 1991; 10: 585-598
        • Burke DL
        • Ensor J
        • Riley RD.
        Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ.
        Stat Med. 2017; 36: 855-875