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 - 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
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U2 - 10.1093/aje/kwy242
DO - 10.1093/aje/kwy242
M3 - Article
C2 - 30351340
AN - SCOPUS:85060978464
SN - 0002-9262
VL - 188
SP - 408
EP - 417
JO - American journal of epidemiology
JF - American journal of epidemiology
IS - 2
ER -