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Integrating clinical and epidemiologic data on allergic diseases across birth cohorts: A harmonization study in the mechanisms of the development of allergy project.
Am. J. Epidemiol. 188, 408-417 (2019)
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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.
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4.473
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6
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Allergy ; Asthma ; Birth Cohorts ; Data Accuracy ; Data Harmonization ; Data Pooling ; Data Sharing; Datashaper Approach; Childhood Asthma; Atopic Diseases; Profile; Rhinitis; Eczema; Age; Metaanalysis; Environment; Population
Language
english
Publication Year
2019
Prepublished in Year
2018
HGF-reported in Year
2018
ISSN (print) / ISBN
0002-9262
e-ISSN
1476-6256
Journal
American Journal of Epidemiology
Quellenangaben
Volume: 188,
Issue: 2,
Pages: 408-417
Publisher
Oxford University Press
Publishing Place
Journals Dept, 2001 Evans Rd, Cary, Nc 27513 Usa
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology (EPI)
POF-Topic(s)
30202 - Environmental Health
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-504000-008
WOS ID
WOS:000460620100017
Scopus ID
85060978464
PubMed ID
30351340
Erfassungsdatum
2018-10-25