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

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...

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Veröffentlicht in:American journal of epidemiology 2019-02, Vol.188 (2), p.408-417
Hauptverfasser: 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
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container_end_page 417
container_issue 2
container_start_page 408
container_title American journal of epidemiology
container_volume 188
creator 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
description 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.
doi_str_mv 10.1093/aje/kwy242
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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.</description><identifier>ISSN: 0002-9262</identifier><identifier>EISSN: 1476-6256</identifier><identifier>DOI: 10.1093/aje/kwy242</identifier><identifier>PMID: 30351340</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Allergic diseases ; Allergies ; Asthma ; Epidemiology ; Equivalence ; Human health and pathology ; Knowledge management ; Life Sciences ; Variables</subject><ispartof>American journal of epidemiology, 2019-02, Vol.188 (2), p.408-417</ispartof><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2018</rights><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. 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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. 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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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-fdcaaf11375814617b118fc36bac5488106e176a702c91ea17c4b24ab3582a783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Allergic diseases</topic><topic>Allergies</topic><topic>Asthma</topic><topic>Epidemiology</topic><topic>Equivalence</topic><topic>Human health and pathology</topic><topic>Knowledge management</topic><topic>Life Sciences</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Benet, Marta</creatorcontrib><creatorcontrib>Albang, Richard</creatorcontrib><creatorcontrib>Pinart, Mariona</creatorcontrib><creatorcontrib>Hohmann, Cynthia</creatorcontrib><creatorcontrib>Tischer, Christina G</creatorcontrib><creatorcontrib>Annesi-Maesano, Isabella</creatorcontrib><creatorcontrib>Baïz, Nour</creatorcontrib><creatorcontrib>Bindslev-Jensen, Carsten</creatorcontrib><creatorcontrib>Lødrup Carlsen, Karin C</creatorcontrib><creatorcontrib>Carlsen, Kai-Hakon</creatorcontrib><creatorcontrib>Cirugeda, Lourdes</creatorcontrib><creatorcontrib>Eller, Esben</creatorcontrib><creatorcontrib>Fantini, Maria Pia</creatorcontrib><creatorcontrib>Gehring, Ulrike</creatorcontrib><creatorcontrib>Gerhard, Beatrix</creatorcontrib><creatorcontrib>Gori, Davide</creatorcontrib><creatorcontrib>Hallner, Eva</creatorcontrib><creatorcontrib>Kull, Inger</creatorcontrib><creatorcontrib>Lenzi, Jacopo</creatorcontrib><creatorcontrib>McEachan, Rosemary</creatorcontrib><creatorcontrib>Minina, Eleonora</creatorcontrib><creatorcontrib>Momas, Isabelle</creatorcontrib><creatorcontrib>Narduzzi, Silvia</creatorcontrib><creatorcontrib>Petherick, Emily S</creatorcontrib><creatorcontrib>Porta, Daniela</creatorcontrib><creatorcontrib>Rancière, Fanny</creatorcontrib><creatorcontrib>Standl, Marie</creatorcontrib><creatorcontrib>Torrent, Maties</creatorcontrib><creatorcontrib>Wijga, Alet H</creatorcontrib><creatorcontrib>Wright, John</creatorcontrib><creatorcontrib>Kogevinas, Manolis</creatorcontrib><creatorcontrib>Guerra, Stefano</creatorcontrib><creatorcontrib>Sunyer, Jordi</creatorcontrib><creatorcontrib>Keil, Thomas</creatorcontrib><creatorcontrib>Bousquet, Jean</creatorcontrib><creatorcontrib>Maier, Dieter</creatorcontrib><creatorcontrib>Anto, Josep M</creatorcontrib><creatorcontrib>Garcia-Aymerich, Judith</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium &amp; 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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.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>30351340</pmid><doi>10.1093/aje/kwy242</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8940-038X</orcidid><orcidid>https://orcid.org/0000-0002-4061-4766</orcidid><orcidid>https://orcid.org/0000-0002-8223-1325</orcidid><orcidid>https://orcid.org/0000-0002-6340-9300</orcidid><orcidid>https://orcid.org/0000-0002-9605-0461</orcidid><orcidid>https://orcid.org/0000-0002-5345-2049</orcidid><orcidid>https://orcid.org/0000-0003-3612-5780</orcidid><orcidid>https://orcid.org/0000-0002-7097-4586</orcidid><oa>free_for_read</oa></addata></record>
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ispartof American journal of epidemiology, 2019-02, Vol.188 (2), p.408-417
issn 0002-9262
1476-6256
language eng
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source Oxford University Press Journals All Titles (1996-Current); Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection; SWEPUB Freely available online
subjects Allergic diseases
Allergies
Asthma
Epidemiology
Equivalence
Human health and pathology
Knowledge management
Life Sciences
Variables
title Integrating Clinical and Epidemiologic Data on Allergic Diseases Across Birth Cohorts: A Harmonization Study in the Mechanisms of the Development of Allergy Project
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