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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.

Authors :
Benet M
Albang R
Pinart M
Hohmann C
Tischer CG
Annesi-Maesano I
Baïz N
Bindslev-Jensen C
Lødrup Carlsen KC
Carlsen KH
Cirugeda L
Eller E
Fantini MP
Gehring U
Gerhard B
Gori D
Hallner E
Kull I
Lenzi J
McEachan R
Minina E
Momas I
Narduzzi S
Petherick ES
Porta D
Rancière F
Standl M
Torrent M
Wijga AH
Wright J
Kogevinas M
Guerra S
Sunyer J
Keil T
Bousquet J
Maier D
Anto JM
Garcia-Aymerich J
Source :
American journal of epidemiology [Am J Epidemiol] 2019 Feb 01; Vol. 188 (2), pp. 408-417.
Publication Year :
2019

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.

Details

Language :
English
ISSN :
1476-6256
Volume :
188
Issue :
2
Database :
MEDLINE
Journal :
American journal of epidemiology
Publication Type :
Academic Journal
Accession number :
30351340
Full Text :
https://doi.org/10.1093/aje/kwy242