Evidence map›Paper›PMID 34067473›Full record

ArticleJournal of clinical medicine2021

Application of a Lifestyle-Based Score to Predict Cardiovascular Risk in African Americans: The Jackson Heart Study.

Mercedes Sotos-Prieto, Songzhu Zhao, David Kline, Guy Brock, Holly Gooding, Josiemer Mattei, Fernando Rodriguez-Artalejo, Yuan-I Min, Eric B Rimm, Katherine L Tucker and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 2 countries.

Mercedes Sotos-PrietoDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, IdiPaz (Instituto de Investigación Sanitaria Hospital Universitario La Paz), Paseo de la Castellana, 261, 28046 Madrid, Spain.ORCID 0000-0001-9127-2586
Songzhu ZhaoDepartment of Biomedical Informatics and Center for Biostatistics, The Ohio State University, 320 Lincoln Tower, 1800 Cannon Drive, Columbus, OH 43210, USA.
David KlineDepartment of Biomedical Informatics and Center for Biostatistics, The Ohio State University, 320 Lincoln Tower, 1800 Cannon Drive, Columbus, OH 43210, USA.ORCID 0000-0001-6183-3303
Guy BrockDepartment of Biomedical Informatics and Center for Biostatistics, The Ohio State University, 320 Lincoln Tower, 1800 Cannon Drive, Columbus, OH 43210, USA.ORCID 0000-0001-5317-079X
Holly GoodingDepartment of Pediatrics, Emory University School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, USA.
Josiemer MatteiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.ORCID 0000-0001-5424-8245
Fernando Rodriguez-ArtalejoDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, IdiPaz (Instituto de Investigación Sanitaria Hospital Universitario La Paz), Paseo de la Castellana, 261, 28046 Madrid, Spain.ORCID 0000-0001-9317-5755
Yuan-I MinDepartment of Medicine, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA.ORCID 0000-0003-2470-0004
Eric B RimmDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.
Katherine L TuckerDepartment of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, 3 Solomont Way, Suite 4, Lowell, MA 01854, USA.ORCID 0000-0001-7640-662X
Joshua J JosephDivision of Endocrinology, Diabetes and Metabolism, The Ohio State University Wexner Medical Center, 579 McCampbell Hall, 1581 Dodd Drive, Columbus, OH 43210, USA.ORCID 0000-0001-9169-8261
The Ohio State University · USMadrid Institute for Advanced Studies · ESBrigham and Women's Hospital · USEmory University · USHarvard University · USState Street (United States) · USThe Ohio State University Wexner Medical Center · USUniversity of Massachusetts Lowell · US

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
Instituto de Salud Carlos III, State Secretary of R+D+I and FEDER/FSE FIS, PI20/00896National Heart, Lung, and Blood Institute and the National Institute on Minority Health and Health Disparities HHSN268201300046C, HHSN268201300047C, HHSN268201300048C, HHSN268201300049C, HHSN268201300050CNCATS NIH HHS UL1 TR002733Spanish Ministry of Science, Innovation and Universities Ramón y Cajal contract, RYC-2018-025069-I
6 · The paper itself

Abstract

Cardiovascular disease (CVD) primordial prevention tools applicable to diverse populations are scarce. Our aim was to assess the performance of a lifestyle-based tool to estimate CVD risk in an African American population. The Jackson Heart Study is a prospective cohort including 5306 African American participants in Jackson, Mississippi (2000-2004), with a mean follow up of 12 years. The Healthy Heart Score is a lifestyle-based CVD risk prediction model based on nine components: body mass index (BMI), physical activity, smoking, and a 5-component diet score. Gender-specific beta coefficients from its derivation cohorts were used to assess the performance of the Healthy Heart Score. Model discrimination was assessed using Harrell's C-Index for survival data and time dependent Area Under the Curve. Model calibration was evaluated through calibration plots. A total of 189 CVD events occurred. The Healthy Heart Score showed high-moderate discrimination for CVD events (C-statistic 0.75 [95% CI, 0.71-0.78]) but with little improvement over the age-only model. Both the age-only and Healthy Heart Score models had better performance in participants without diabetes at baseline and showed good calibration. In African Americans, the Healthy Heart Score does not improve prediction of mid-life CVD events beyond what is obtained by age alone.

Indexed as

African AmericansBlackslifestylepreventionrisk assessment

Identifiers

PMID34067473
PMCPMC8196953
OpenAlexW3165073937

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.