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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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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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.</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. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-fdcaaf11375814617b118fc36bac5488106e176a702c91ea17c4b24ab3582a783</citedby><cites>FETCH-LOGICAL-c453t-fdcaaf11375814617b118fc36bac5488106e176a702c91ea17c4b24ab3582a783</cites><orcidid>0000-0002-8940-038X ; 0000-0002-4061-4766 ; 0000-0002-8223-1325 ; 0000-0002-6340-9300 ; 0000-0002-9605-0461 ; 0000-0002-5345-2049 ; 0000-0003-3612-5780 ; 0000-0002-7097-4586</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,550,776,780,881,1578,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30351340$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.umontpellier.fr/hal-02562131$$DView record in HAL$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:140465840$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><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><title>Integrating Clinical and Epidemiologic Data on Allergic Diseases Across Birth Cohorts: A Harmonization Study in the Mechanisms of the Development of Allergy Project</title><title>American journal of epidemiology</title><addtitle>Am J Epidemiol</addtitle><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.</description><subject>Allergic diseases</subject><subject>Allergies</subject><subject>Asthma</subject><subject>Epidemiology</subject><subject>Equivalence</subject><subject>Human health and pathology</subject><subject>Knowledge management</subject><subject>Life 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Epidemiol</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>188</volume><issue>2</issue><spage>408</spage><epage>417</epage><pages>408-417</pages><issn>0002-9262</issn><eissn>1476-6256</eissn><abstract>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.</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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issn | 0002-9262 1476-6256 |
language | eng |
recordid | cdi_swepub_primary_oai_swepub_ki_se_484669 |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T19%3A57%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrating%20Clinical%20and%20Epidemiologic%20Data%20on%20Allergic%20Diseases%20Across%20Birth%20Cohorts:%20A%20Harmonization%20Study%20in%20the%20Mechanisms%20of%20the%20Development%20of%20Allergy%20Project&rft.jtitle=American%20journal%20of%20epidemiology&rft.au=Benet,%20Marta&rft.date=2019-02-01&rft.volume=188&rft.issue=2&rft.spage=408&rft.epage=417&rft.pages=408-417&rft.issn=0002-9262&rft.eissn=1476-6256&rft_id=info:doi/10.1093/aje/kwy242&rft_dat=%3Cproquest_swepu%3E2306242887%3C/proquest_swepu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2306242887&rft_id=info:pmid/30351340&rft_oup_id=10.1093/aje/kwy242&rfr_iscdi=true |