Estimating Additive Interaction in Two-Stage Individual Participant Data Meta-Analysis.

Autor:	Basten M; Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.; Amsterdam Public Health, Mental Health program, Amsterdam, the Netherlands.; Amsterdam Public Health, Health Behaviors and Chronic Diseases program, Amsterdam, the Netherlands.; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands., van Tuijl LA; Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.; Department of Clinical Psychology, Utrecht University, Utrecht, The Netherlands., Pan KY; Amsterdam Public Health, Mental Health program, Amsterdam, the Netherlands.; Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, the Netherlands.; Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden., Hoogendoorn AW; Amsterdam Public Health, Mental Health program, Amsterdam, the Netherlands.; Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, the Netherlands., Lamers F; Amsterdam Public Health, Mental Health program, Amsterdam, the Netherlands.; Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, the Netherlands., Ranchor AV; Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands., Dekker J; Amsterdam Public Health, Mental Health program, Amsterdam, the Netherlands.; Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, the Netherlands., Frank P; UCL Brain Sciences, Division of Psychiatry, University College London, London, UK., Galenkamp H; Department of Public and Occupational Health, Amsterdam UMC, and Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, the Netherlands., Knol MJ; Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands., Noisel N; CARTaGENE, CHU Sainte-Justine, 3175, Chemin de la Côte-Sainte-Catherine, Montréal, Québec, Canada., Payette Y; CARTaGENE, CHU Sainte-Justine, 3175, Chemin de la Côte-Sainte-Catherine, Montréal, Québec, Canada., Sund ER; Faculty of Nursing and Health Sciences, Nord University, Levanger, Norway.; HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.; Levanger hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway., Zwinderman AH; Amsterdam UMC, location University of Amsterdam, Clinical Epidemiology, Biostatistics and Bioinformatics, Meibergdreef 9, Amsterdam, the Netherlands., Portengen L; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands., Geerlings MI; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands.; Amsterdam UMC, location University of Amsterdam, Department of General Practice, Meibergdreef 9, Amsterdam, the Netherlands.; Amsterdam Public Health, Personalized Medicine, and Aging & Later Life, Amsterdam, the Netherlands.; Amsterdam Neuroscience, Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, the Netherlands.
Jazyk:	angličtina
Zdroj:	American journal of epidemiology [Am J Epidemiol] 2024 Aug 31. Date of Electronic Publication: 2024 Aug 31.
DOI:	10.1093/aje/kwae325
Abstrakt:	Individual participant data (IPD) meta-analysis provides important opportunities to study interaction and effect modification for which individual studies often lack power. While previous meta-analyses have commonly focused on multiplicative interaction, additive interaction holds greater relevance for public health and may in certain contexts better reflect biological interaction. Methodological literature on interaction in IPD meta-analysis does not cover additive interaction for models including binary or time-to-event outcomes. We aimed to describe how the Relative Excess Risk due to Interaction (RERI) and other measures of additive interaction or effect modification can be validly estimated within two-stage IPD meta-analysis. First, we explain why direct pooling of study-level RERI estimates may lead to invalid results. Next, we propose a three-step procedure to estimate additive interaction: 1) estimate effects of both exposures and their product term on the outcome within each individual study; 2) pool study-specific estimates using multivariate meta-analysis; 3) estimate an overall RERI and 95% confidence interval based on the pooled effect estimates. We illustrate this procedure by investigating interaction between depression and smoking and risk of smoking-related cancers using data from the PSYchosocial factors and Cancer (PSY-CA) consortium. We discuss implications of this procedure, including the application in meta-analysis based on published data. (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)
Databáze:	MEDLINE
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