Web of Science: 58 cites, Scopus: 57 cites, Google Scholar: cites,
An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
Boedhoe, Premika (Vrije Universiteit Amsterdam)
Heymans, Martijn W. (Vrije Universiteit Amsterdam)
Schmaal, Lianne (University of Melbourne)
Abe, Yoshinari (Kyoto Prefectural University of Medicine)
Alonso, Pino (Universitat de Barcelona)
Ameis, Stephanie H. (The Hospital for Sick Children, Centre for Brain and Mental Health)
Anticevic, Alan (Yale University School of Medicine. Department of Psychiatry)
Arnold, Paul D. (University of Calgary. Department of Psychiatry)
Batistuzzo, Marcelo C. (Universidade de São Paulo. Departamento de Psiquiatria)
Benedetti, Francesco (Ospedale San Raffaele)
Beucke, Jan C. (Humboldt-Universität zu Berlin)
Bollettini, Irene (Scientific Institute Ospedale San Raffaele)
Bose, Anushree (National Institute of Mental Health and Neurosciences)
Brem, Silvia (Universität Zürich)
Calvo, Anna (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Calvo-Escalona, Rosa (Centro de Investigación Biomédica en Red de Salud Mental)
Cheng, Yuqi (Kunming Medical University)
Cho, Kang Ik K. (Institute of Human Behavioral Medicine, SNU-MRC)
Ciullo, Valentina (Università degli Studi di Firenze)
Dallaspezia, Sara (Ospedale San Raffaele)
Denys, Damiaan (Koninklijke Nederlandse Akademie van Wetenschappen)
Feusner, Jamie D. (University of California. Department of Psychiatry and Biobehavioral Sciences)
Fitzgerald, Kate D. (University of Michigan. Department of Psychiatry)
Fouche, Jean-Paul (University of Cape Town. Department of Psychiatry)
Fridgeirsson, Egill A. (Universiteit van Amsterdam)
Gruner, Patricia (Yale University School of Medicine. Department of Psychiatry)
Hanna, Gregory L. (University of Michigan. Department of Psychiatry)
Hibar, Derrek P. (University of Southern California. Keck School of Medicine)
Hoexter, Marcelo Q. (Universidade de São Paulo. Departamento de Psiquiatria)
Hu, Hao (Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine)
Huyser, Chaim (Universiteit van Amsterdam)
Jahanshad, Neda (Yeongeon Student Support Center, Seoul National University College of Medicine)
James, Anthony (Oxford University. Department of Psychiatry)
Kathmann, Norbert (Humboldt-Universität zu Berlin)
Kaufmann, Christian (Humboldt-Universität zu Berlin)
Koch, Kathrin (Technische Universität München)
Kwon, Jun Soo (Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences)
Lázaro, Luisa (Universitat de Barcelona. Departament de Medicina)
Lochner, Christine (University of Stellenbosch. Department of Psychiatry)
Marsh, Rachel (The New York State Psychiatric Institute)
Martínez-Zalacaín, Ignacio (Institut d'Investigació Biomèdica de Bellvitge)
Mataix-Cols, David (Karolinska Institutet (Estocolm, Suècia))
Menchón Magriñá, José Manuel (Universitat de Barcelona. Departament de Ciències Clíniques)
Minuzzi, Luciano (Mood Disorders Clinic, St. Joseph's HealthCare)
Morer, Astrid (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Nakamae, Takashi (Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine)
Nakao, Tomohiro (Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University)
Narayanaswamy, Janardhanan C. (Obsessive-Compulsive Disorder (OCD) Clinic Department of Psychiatry National Institute of Mental Health and Neurosciences)
Nishida, Seiji (Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine)
Nurmi, Erika L. (University of California. Department of Psychiatry and Biobehavioral Sciences)
O'Neill, Joseph (University of California. Department of Psychiatry and Biobehavioral Sciences)
Piacentini, John (University of California. Department of Psychiatry and Biobehavioral Sciences)
Piras, Fabrizio (Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation)
Piras, Federica (Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation)
Reddy, Y. C. Janardhan (Obsessive-Compulsive Disorder (OCD) Clinic Department of Psychiatry National Institute of Mental Health and Neurosciences)
Reess, Tim J. (Technische Universität München)
Sakai, Yuki (ATR Brain Information Communication Research Laboratory Group)
Sato, Joao R. (Universidade Federal do ABC (Brasil))
Simpson, H. Blair (New York State Psychiatric Institute)
Soreni, Noam (St. Joseph's HealthCare)
Soriano-Mas, Carles (Universitat Autònoma de Barcelona. Departament de Psicobiologia i de Metodologia de Ciències de la Salut)
Spalletta, Gianfranco (Baylor College of Medicine. Department of Psychiatry and Behavioral Sciences)
Stevens, Michael C. (Clinical Neuroscience and Development Laboratory, Olin Neuropsychiatry Research Center)
Szeszko, Philip R. (James J. Peters VA Medical Center)
Tolin, David F. (Institute of Living/Hartford Hospital)
van Wingen, Guido A. (Universiteit van Amsterdam)
Venkatasubramanian, Ganesan (Obsessive-Compulsive Disorder (OCD) Clinic Department of Psychiatry National Institute of Mental Health and Neurosciences)
Walitza, Susanne (Universität Zürich)
Wang, Zhen (Shanghai Key Laboratory of Psychotic Disorders)
Yun, Je-Yeon (Department of Psychiatry, Seoul National University College of Medicine)
Thompson, Paul M. (University of Southern California. Keck School of Medicine)
Stein, Dan J. (University of Cape Town. Department of Psychiatry)
van den Heuvel, Odile A. (Vrije Universiteit Amsterdam)
Twisk, Jos W. R. (Vrije Universiteit Amsterdam)

Data: 2019
Resum: Objective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data (IPD) mega-analysis can be superior to a two-stage aggregated data meta-analysis, since more detailed computations can be performed in a mega-analysis. Before definitive conclusions regarding the performance of either method can be drawn, it is necessary to critically evaluate the methodology of, and results obtained by, meta- and mega-analyses. Methods: Here, we compare the inverse variance weighted random-effect meta-analysis model with a multiple linear regression mega-analysis model, as well as with a linear mixed-effects random-intercept mega-analysis model, using data from 38 cohorts including 3,665 participants of the ENIGMA-OCD consortium. We assessed the effect sizes and standard errors, and the fit of the models, to evaluate the performance of the different methods. Results: The mega-analytical models showed lower standard errors and narrower confidence intervals than the meta-analysis. Similar standard errors and confidence intervals were found for the linear regression and linear mixed-effects random-intercept models. Moreover, the linear mixed-effects random-intercept models showed better fit indices compared to linear regression mega-analytical models. Conclusions: Our findings indicate that results obtained by meta- and mega-analysis differ, in favor of the latter. In multi-center studies with a moderate amount of variation between cohorts, a linear mixed-effects random-intercept mega-analytical framework appears to be the better approach to investigate structural neuroimaging data.
Ajuts: Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1247
Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-489
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Neuroimaging ; MRI ; IPD meta-analysis ; Mega-analysis ; Linear mixed-effect models
Publicat a: Frontiers in neuroinformatics, Vol. 12 (january 2019) , ISSN 1662-5196

DOI: 10.3389/fninf.2018.00102
PMID: 30670959


8 p, 228.9 KB

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