How to plan and manage an individual participant data meta‐analysis. An illustrative toolkit

Author:

Maxwell Lauren1ORCID,Shreedhar Priya1ORCID,Carabali Mabel23ORCID,Levis Brooke4ORCID

Affiliation:

1. Heidelberger Institut für Global Health Universitätsklinikum Heidelberg Heidelberg Germany

2. Département de Médecine Sociale et Préventive, École de Santé Publique Université de Montréal Montreal Quebec Canada

3. Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, Faculty of Medicine and Health Sciences McGill University Montreal Quebec Canada

4. Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research Jewish General Hospital Montreal Quebec Canada

Abstract

AbstractIndividual participant data meta‐analyses (IPD‐MAs) have several benefits over standard aggregate data meta‐analyses, including the consideration of additional participants, follow‐up time, and the joint consideration of study‐ and participant‐level heterogeneity for improved diagnostic and prognostic model development and evaluation. However, IPD‐MAs are resource‐intensive and require careful budgeting of time from data contributing groups, a dedicated management team, diversity of expertise, clearly documented data sharing and authorship agreements, and consistent and clear communication. We present a toolkit to facilitate the implementation and management of IPD‐MAs, from study recruitment to retrospective harmonization. The toolkit was developed and refined over our work on multiple multinational IPD‐MA projects over the last 13 years. The toolkit's budget and email templates, agreements, project management spreadsheets, and standard operating procedures are meant to facilitate routine IPD‐MA tasks to expedite implementing and managing future IPD‐MA projects.

Funder

Horizon 2020 Framework Programme

Institute of Genetics

Publisher

Wiley

Subject

Education

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