Suppr超能文献

整合过敏疾病的临床和流行病学数据:过敏发展机制项目中的一致性研究。

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

机构信息

ISGlobal.

Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.

出版信息

Am J Epidemiol. 2019 Feb 1;188(2):408-417. doi: 10.1093/aje/kwy242.

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.

摘要

近年来,旨在更好地了解哮喘和过敏的国际出生队列研究之间的合作数量有所增加。然而,由于定义和方法的差异,无法直接对个体参与者的原始数据进行汇总。作为过敏发病机制(MeDALL)项目的一部分,我们协调了来自 9 个欧洲国家的 14 项出生队列研究(每个研究有 3-20 个随访期)的数据,这些研究是在 1990-1998 年或 2003-2009 年进行的。协调过程遵循以下 6 个步骤:1)协调小组的组织;2)确定与 MeDALL 目标相关的变量(候选变量);3)为每个候选变量提出定义(参考定义);4)评估每个队列变量与其参考定义的兼容性(推理等效性),并将这种推理等效性分类为完全、部分或不可能;5)召开研讨会,就参考定义和推理等效性分类达成一致;6)通过知识管理门户准备和提供数据。我们就 137 个参考定义达成一致。对于 3551 个队列变量,有 70%的变量与相应的参考定义具有完全的推理等效性,15%的变量具有部分推理等效性,15%的变量具有不可能的推理等效性。一个协调一致的数据库已提供给 MeDALL 研究人员。在哮喘和过敏的出生队列中,对汇总分析的数据进行协调是可行的,并且可以实现高度的推理可比性。MeDALL 协调方法可用于其他合作项目。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验