Skip to main content
construction release_alert
Scholars@Duke will be undergoing maintenance April 11-15. Some features may be unavailable during this time.
cancel

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

Publication ,  Journal Article
Mallya, P; Stevens, LM; Zhao, J; Hong, C; Henao, R; Economou-Zavlanos, N; Wojdyla, DM; Schibler, T; Manchanda, V; Pencina, MJ; Hall, JL
Published in: Circ Cardiovasc Qual Outcomes
November 2023

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.

Duke Scholars

Published In

Circ Cardiovasc Qual Outcomes

DOI

EISSN

1941-7705

Publication Date

November 2023

Volume

16

Issue

11

Start / End Page

e009938

Location

United States

Related Subject Headings

  • Reproducibility of Results
  • Metadata
  • Longitudinal Studies
  • Humans
  • Cohort Studies
  • Cardiovascular System & Hematology
  • Atherosclerosis
  • 4206 Public health
  • 3201 Cardiovascular medicine and haematology
  • 1117 Public Health and Health Services
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Mallya, P., Stevens, L. M., Zhao, J., Hong, C., Henao, R., Economou-Zavlanos, N., … Hall, J. L. (2023). Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository. Circ Cardiovasc Qual Outcomes, 16(11), e009938. https://doi.org/10.1161/CIRCOUTCOMES.123.009938
Mallya, Pratheek, Laura M. Stevens, Juan Zhao, Chuan Hong, Ricardo Henao, Nicoleta Economou-Zavlanos, Daniel M. Wojdyla, et al. “Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository.Circ Cardiovasc Qual Outcomes 16, no. 11 (November 2023): e009938. https://doi.org/10.1161/CIRCOUTCOMES.123.009938.
Mallya P, Stevens LM, Zhao J, Hong C, Henao R, Economou-Zavlanos N, et al. Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository. Circ Cardiovasc Qual Outcomes. 2023 Nov;16(11):e009938.
Mallya, Pratheek, et al. “Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository.Circ Cardiovasc Qual Outcomes, vol. 16, no. 11, Nov. 2023, p. e009938. Pubmed, doi:10.1161/CIRCOUTCOMES.123.009938.
Mallya P, Stevens LM, Zhao J, Hong C, Henao R, Economou-Zavlanos N, Wojdyla DM, Schibler T, Manchanda V, Pencina MJ, Hall JL. Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository. Circ Cardiovasc Qual Outcomes. 2023 Nov;16(11):e009938.

Published In

Circ Cardiovasc Qual Outcomes

DOI

EISSN

1941-7705

Publication Date

November 2023

Volume

16

Issue

11

Start / End Page

e009938

Location

United States

Related Subject Headings

  • Reproducibility of Results
  • Metadata
  • Longitudinal Studies
  • Humans
  • Cohort Studies
  • Cardiovascular System & Hematology
  • Atherosclerosis
  • 4206 Public health
  • 3201 Cardiovascular medicine and haematology
  • 1117 Public Health and Health Services