TY - JOUR
T1 - Integrating Clinical and Epidemiologic Data on Allergic Diseases Across Birth Cohorts
T2 - A Harmonization Study in the Mechanisms of the Development of Allergy Project
AU - Benet, Marta
AU - Albang, Richard
AU - Pinart, Mariona
AU - Hohmann, Cynthia
AU - Tischer, Christina G.
AU - Annesi-Maesano, Isabella
AU - Baïz, Nour
AU - Bindslev-Jensen, Carsten
AU - Lødrup Carlsen, Karin C.
AU - Carlsen, Kai Hakon
AU - Cirugeda, Lourdes
AU - Eller, Esben
AU - Fantini, Maria Pia
AU - Gehring, Ulrike
AU - Gerhard, Beatrix
AU - Gori, Davide
AU - Hallner, Eva
AU - Kull, Inger
AU - Lenzi, Jacopo
AU - McEachan, Rosemary
AU - Minina, Eleonora
AU - Momas, Isabelle
AU - Narduzzi, Silvia
AU - Petherick, Emily S.
AU - Porta, Daniela
AU - Rancière, Fanny
AU - Standl, Marie
AU - Torrent, Maties
AU - Wijga, Alet H.
AU - Wright, John
AU - Kogevinas, Manolis
AU - Guerra, Stefano
AU - Sunyer, Jordi
AU - Keil, Thomas
AU - Bousquet, Jean
AU - Maier, Dieter
AU - Anto, Josep M.
AU - Garcia-Aymerich, Judith
N1 - Funding Information:
Author affiliations: ISGlobal (Barcelona Institute for Global Health), Barcelona, Spain (Marta Benet, Mariona Pinart, Christina G. Tischer, Lourdes Cirugeda, Manolis Kogevinas, Stefano Guerra, Jordi Sunyer, Josep M. Anto, Judith Garcia-Aymerich); Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain (Marta Benet, Mariona Pinart, Christina G. Tischer, Lourdes Cirugeda, Manolis Kogevinas, Stefano Guerra, Jordi Sunyer, Josep M. Anto, Judith Garcia-Aymerich); Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain (Marta Benet, Mariona Pinart, Christina G. Tischer, Lourdes Cirugeda, Maties Torrent, Manolis Kogevinas, Stefano Guerra, Jordi Sunyer, Josep M. Anto, Judith Garcia-Aymerich); Biomax Informatics AG, Planegg, Germany (Richard Albang, Beatrix Gerhard, Eleonora Minina, Dieter Maier); Hospital del Mar Research Institute, Barcelona, Spain (Mariona Pinart, Manolis Kogevinas, Jordi Sunyer, Josep M. Anto); Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany (Cynthia Hohmann, Thomas Keil); Epidemiology of Allergic and Respiratory Diseases Department, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Institut National de la Santé et de la Recherche Médicale, Paris, France (Isabella Annesi-Maesano, Nour Baïz); Saint-Antoine Medical School, Université Pierre et Marie Curie, Paris, France (Isabella Annesi-Maesano, Nour Baïz); Odense Research Center for Anaphylaxis, Department of Dermatology and Allergy Center, Odense University Hospital, Odense, Denmark (Carsten Bindslev-Jensen, Esben Eller); Department of Paediatric Allergy and Pulmonology, Division of Paediatric and Adolescent Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway (Karin C. Lødrup Carlsen, Kai-Hakon Carlsen); Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum–University of Bologna, Bologna, Italy (Maria Pia Fantini, Davide Gori, Jacopo Lenzi); Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands (Ulrike Gehring); Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden (Eva Hallner); Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden (Eva Hallner); Sachs’ Children and Youth Hospital, South General Hospital Stockholm, Stockholm, Sweden (Inger Kull); Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden (Inger Kull); Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom (Rosemary McEachan, John Wright); Université Paris Descartes, Sorbonne Paris Cité, EA 4064 Epidémiologie Environnementale, Paris, France (Isabelle Momas, Fanny Rancière); Mairie de Paris, Direction de l’Action Sociale de l’Enfance et de la Santé, Cellule Cohorte, Paris, France (Isabelle Momas); Department of Epidemiology, Lazio Regional Health Service, Rome, Italy (Silvia Narduzzi, Daniela Porta); School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom (Emily S. Petherick); Institute of Epidemiology I, Helmholtz Zentrum München– German Research Center for Environmental Health, Neuherberg, Germany (Marie Standl); Servei de Salut de les Illes Balears, Area de Salut de Menorca, Spain (Maties Torrent); Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands (Alet H. Wijga); National School of Public Health, Athens, Greece (Manolis Kogevinas); Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona (Stefano Guerra); Contre les Maladies Chroniques pour un Vieillissement Actif en France, European Innovation Partnership on Active and Healthy Ageing Reference Site, Montpellier, France (Jean Bousquet); and Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche 1168 (Aging and Chronic Diseases: Epidemiological and Public Health Approaches), Villejuif, France (Jean Bousquet). This work was supported by the Mechanisms of the Development of Allergy (MeDALL) Project, a collaborative study conducted within the European Union under the Health Cooperation Work Programme of the Seventh Framework Programme for Research and Technological Development (grant 261357).
Publisher Copyright:
© The Author(s) 2018.
PY - 2019/2/1
Y1 - 2019/2/1
N2 - The numbers of international collaborations among birth cohort studies designed to better understand asthma and allergies have increased in the last several years. However, differences in definitions and methods preclude direct pooling of original data on individual participants. As part of the Mechanisms of the Development of Allergy (MeDALL) Project, we harmonized data from 14 birth cohort studies (each with 3-20 follow-up periods) carried out in 9 European countries during 1990-1998 or 2003-2009. The harmonization process followed 6 steps: 1) organization of the harmonization panel; 2) identification of variables relevant to MeDALL objectives (candidate variables); 3) proposal of a definition for each candidate variable (reference definition); 4) assessment of the compatibility of each cohort variable with its reference definition (inferential equivalence) and classification of this inferential equivalence as complete, partial, or impossible; 5) convocation of a workshop to agree on the reference definitions and classifications of inferential equivalence; and 6) preparation and delivery of data through a knowledge management portal. We agreed on 137 reference definitions. The inferential equivalence of 3,551 cohort variables to their corresponding reference definitions was classified as complete, partial, and impossible for 70%, 15%, and 15% of the variables, respectively. A harmonized database was delivered to MeDALL investigators. In asthma and allergy birth cohorts, the harmonization of data for pooled analyses is feasible, and high inferential comparability may be achieved. The MeDALL harmonization approach can be used in other collaborative projects.
AB - The numbers of international collaborations among birth cohort studies designed to better understand asthma and allergies have increased in the last several years. However, differences in definitions and methods preclude direct pooling of original data on individual participants. As part of the Mechanisms of the Development of Allergy (MeDALL) Project, we harmonized data from 14 birth cohort studies (each with 3-20 follow-up periods) carried out in 9 European countries during 1990-1998 or 2003-2009. The harmonization process followed 6 steps: 1) organization of the harmonization panel; 2) identification of variables relevant to MeDALL objectives (candidate variables); 3) proposal of a definition for each candidate variable (reference definition); 4) assessment of the compatibility of each cohort variable with its reference definition (inferential equivalence) and classification of this inferential equivalence as complete, partial, or impossible; 5) convocation of a workshop to agree on the reference definitions and classifications of inferential equivalence; and 6) preparation and delivery of data through a knowledge management portal. We agreed on 137 reference definitions. The inferential equivalence of 3,551 cohort variables to their corresponding reference definitions was classified as complete, partial, and impossible for 70%, 15%, and 15% of the variables, respectively. A harmonized database was delivered to MeDALL investigators. In asthma and allergy birth cohorts, the harmonization of data for pooled analyses is feasible, and high inferential comparability may be achieved. The MeDALL harmonization approach can be used in other collaborative projects.
KW - allergy
KW - asthma
KW - birth cohorts
KW - data accuracy
KW - data harmonization
KW - data pooling
KW - data sharing
UR - http://www.scopus.com/inward/record.url?scp=85060978464&partnerID=8YFLogxK
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U2 - 10.1093/aje/kwy242
DO - 10.1093/aje/kwy242
M3 - Article
C2 - 30351340
AN - SCOPUS:85060978464
VL - 188
SP - 408
EP - 417
JO - American Journal of Epidemiology
JF - American Journal of Epidemiology
SN - 0002-9262
IS - 2
ER -