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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

机译:将临床和流行病学数据整合在出生队列上的过敏性疾病:过敏项目发展机制的统一研究

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摘要

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.
机译:旨在更好地了解哮喘和过敏症的出生队列研究中的国际合作数量在过去几年增加了。然而,定义和方法的差异排除了对个别参与者的原始数据的直接汇集。作为过敏(MEDALL)项目的发展机制的一部分,我们在1990年至1998年或2003 - 2009年期间在9个欧洲国家进行了14个生育队列研究(每次3-20次随访期间的数据)。协调过程遵循6步:1)协调小组的组织; 2)识别与Medall目标相关的变量(候选变量); 3)每个候选变量的定义的提议(参考定义); 4)评估每个群组变量的兼容性与其参考定义(推理等价)和这种推论等效的分类,如完整,部分或不可能; 5)召集讲习班达成协议,达成借款人的参考定义和分类; 6)通过知识管理门户准备和交付数据。我们同意了137个参考定义。 3,551个群组的推理当量分别为其相应的参考定义分别分为完全,部分,并且不可能分别为70%,15%和15%的变量。统一的数据库被交付给Medall调查员。在哮喘和过敏的出生队列中,汇总分析的数据统一是可行的,并且可以实现高度的推理可比性。 Medall协调方法可用于其他协作项目。

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  • 来源
    《American Journal of Epidemiology》 |2019年第2期|共10页
  • 作者单位

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

    Biomax Informat AG Planegg Germany;

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

    Charite Univ Med Berlin Inst Social Med Epidemiol &

    Hlth Econ Berlin Germany;

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

    INSERM Inst Pierre Louis Epidemiol &

    Sante Publ Epidemiol Allerg &

    Resp Dis Dept Paris France;

    INSERM Inst Pierre Louis Epidemiol &

    Sante Publ Epidemiol Allerg &

    Resp Dis Dept Paris France;

    Odense Univ Hosp Dept Dermatol &

    Allergy Ctr Odense Res Ctr Anaphylaxis Odense Denmark;

    Univ Oslo Div Paediat &

    Adolescent Med Dept Paediat Allergy &

    Pulmonol Fac Med Oslo Norway;

    Univ Oslo Div Paediat &

    Adolescent Med Dept Paediat Allergy &

    Pulmonol Fac Med Oslo Norway;

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

    Odense Univ Hosp Dept Dermatol &

    Allergy Ctr Odense Res Ctr Anaphylaxis Odense Denmark;

    Alma Mater Studiorum Univ Bologna Dept Biomed &

    Neuromotor Sci Bologna Italy;

    Univ Utrecht Inst Risk Assessment Sci Utrecht Netherlands;

    Biomax Informat AG Planegg Germany;

    Alma Mater Studiorum Univ Bologna Dept Biomed &

    Neuromotor Sci Bologna Italy;

    Karolinska Inst Inst Environm Med Stockholm Sweden;

    South Gen Hosp Stockholm Sachs Children &

    Youth Hosp Stockholm Sweden;

    Alma Mater Studiorum Univ Bologna Dept Biomed &

    Neuromotor Sci Bologna Italy;

    Bradford Teaching Hosp NHS Fdn Trust Bradford Inst Hlth Res Bradford W Yorkshire England;

    Biomax Informat AG Planegg Germany;

    Univ Paris 05 Sorbonne Paris Cite EA 4064 Epidemiol Environm Paris France;

    Lazio Reg Hlth Serv Dept Epidemiol Rome Italy;

    Loughborough Univ Sch Sport Exercise &

    Hlth Sci Loughborough Leics England;

    Lazio Reg Hlth Serv Dept Epidemiol Rome Italy;

    Univ Paris 05 Sorbonne Paris Cite EA 4064 Epidemiol Environm Paris France;

    Helmholtz Zentrum Munchen German Res Ctr Environm Inst Epidemiol 1 Neuherberg Germany;

    Consorcio Ctr Invest Biomed Red Epidemiol &

    Salud Barcelona Spain;

    Natl Inst Publ Hlth &

    Environm Ctr Nutr Prevent &

    Hlth Serv Bilthoven Netherlands;

    Bradford Teaching Hosp NHS Fdn Trust Bradford Inst Hlth Res Bradford W Yorkshire England;

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

    Charite Univ Med Berlin Inst Social Med Epidemiol &

    Hlth Econ Berlin Germany;

    European Innovat Partnership Act &

    Hlyh Ageing Malad Chron Vieillissement Actif France;

    Biomax Informat AG Planegg Germany;

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

    ISGlobal Barcelona Inst Global Hlth Doctor Aiguader 88 Barcelona 08003 Spain;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 流行病学与防疫;
  • 关键词

    allergy; asthma; birth cohorts; data accuracy; data harmonization; data pooling; data sharing;

    机译:过敏;哮喘;出生队列;数据准确性;数据协调;数据汇总;数据共享;

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