Integrating Clinical and Epidemiologic Data on Allergic Diseases Across Birth Cohorts: A Harmonization Study in the Mechanisms of the Development of Allergy Project

• Published in: American journal of epidemiology Vol. 188; no. 2; pp. 408 - 417
• Main Authors: Benet, Marta, Albang, Richard, Pinart, Mariona, Hohmann, Cynthia, Tischer, Christina G, Annesi-Maesano, Isabella, Baïz, Nour, Bindslev-Jensen, Carsten, Lødrup Carlsen, Karin C, Carlsen, Kai-Hakon, Cirugeda, Lourdes, Eller, Esben, Fantini, Maria Pia, Gehring, Ulrike, Gerhard, Beatrix, Gori, Davide, Hallner, Eva, Kull, Inger, Lenzi, Jacopo, McEachan, Rosemary, Minina, Eleonora, Momas, Isabelle, Narduzzi, Silvia, Petherick, Emily S, Porta, Daniela, Rancière, Fanny, Standl, Marie, Torrent, Maties, Wijga, Alet H, Wright, John, Kogevinas, Manolis, Guerra, Stefano, Sunyer, Jordi, Keil, Thomas, Bousquet, Jean, Maier, Dieter, Anto, Josep M, Garcia-Aymerich, Judith
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 01-02-2019; Oxford Publishing Limited (England); Oxford University Press (OUP)
• Subjects: Allergic diseases; Allergies; Asthma; Epidemiology; Equivalence; Human health and pathology; Knowledge management; Life Sciences; Medicin och hälsovetenskap; Variables; data harmonization; allergy; data pooling; asthma; birth cohorts; data accuracy; data sharing
• ISSN: 0002-9262; 1476-6256; 1476-6256
• DOI: 10.1093/aje/kwy242

Abstract
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.