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DOI 10.1161/circoutcomes.123.009938

Медицинская библиотека · Circulation. Cardiovascular quality and outcomes · 2023

Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository.

Mallya Pratheek, Stevens Laura M, Zhao Juan, Hong Chuan, Henao Ricardo, Economou-Zavlanos Nicoleta, Wojdyla Daniel M, Schibler Tony, Manchanda Vihaan, Pencina Michael J, Hall Jennifer L

СтатьяПоддержка NIH: внешняя программаПеревод пока не подготовлен

Аннотация

BACKGROUND

High-quality research in cardiovascular prevention, as in other fields, requires inclusion of a broad range of data sets from different sources. Integrating and harmonizing different data sources are essential to increase generalizability, sample size, and representation of understudied populations-strengthening the evidence for the scientific questions being addressed.

METHODS

Here, we describe an effort to build an open-access repository and interactive online portal for researchers to access the metadata and code harmonizing data from 4 well-known cohort studies-the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study, FHS (Framingham Heart Study), MESA (Multi-Ethnic Study of Atherosclerosis), and ARIC (Atherosclerosis Risk in Communities) study. We introduce a methodology and a framework used for preprocessing and harmonizing variables from multiple studies.

RESULTS

We provide a real-case study and step-by-step guidance to demonstrate the practical utility of our repository and interactive web page. In addition to our successful development of such an open-access repository and interactive web page, this exercise in harmonizing data from multiple cohort studies has revealed several key themes. These themes include the importance of careful preprocessing and harmonization of variables, the value of creating an open-access repository to facilitate collaboration and reproducibility, and the potential for using harmonized data to address important scientific questions and disparities in cardiovascular disease research.

CONCLUSIONS

By integrating and harmonizing these large-scale cohort studies, such a repository may improve the statistical power and representation of understudied cohorts, enabling development and validation of risk prediction models, identification and investigation of risk factors, and creating a platform for racial disparities research.

REGISTRATION: URL: https://precision.heart.org/duke-ninds.

Для цитирования: Mallya Pratheek, Stevens Laura M, Zhao Juan, Hong Chuan, Henao Ricardo, Economou-Zavlanos Nicoleta, Wojdyla Daniel M, Schibler Tony, Manchanda Vihaan, Pencina Michael J, Hall Jennifer L. Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository.. Circulation. Cardiovascular quality and outcomes. 2023. DOI: 10.1161/circoutcomes.123.009938.

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