Evidence map›Paper›PMID 34742867›Full record

ArticleAnnals of epidemiology2022

Biomarkers as MEDiators of racial disparities in risk factors (BioMedioR): Rationale, study design, and statistical considerations.

D Leann Long, Boyi Guo, Leslie A McClure, Byron C Jaeger, Stephanie E Tison, George Howard, Suzanne E Judd, Virginia J Howard, Timothy B Plante, Neil A Zakai and 3 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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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

13 authors.

D Leann LongDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL. Electronic address: leannl@uab.edu.
Boyi GuoDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Leslie A McClureDepartment of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA.
Byron C JaegerDepartment of Biostatistics and Data Science, School of Medicine, Wake Forest University, Winston-Salem, NC.
Stephanie E TisonDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
George HowardDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Suzanne E JuddDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Virginia J HowardDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Timothy B PlanteDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT.
Neil A ZakaiDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT; Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT.
Insu KohDepartment of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT.
Katharine L CheungDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT.
Mary CushmanDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT; Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT.

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

purposeRelative to White adults, Black adults have a substantially higher prevalence of hypertension and diabetes, both key risk factors for stroke, cardiovascular disease, cognitive impairment, and dementia. Blood biomarkers have shown promise in identifying contributors to racial disparities in many chronic diseases.

methodsWe outline the study design and related statistical considerations for a nested cohort study, the Biomarker Mediators of Racial Disparities in Risk Factors (BioMedioR) study, within the 30,239-person biracial REasons for Geographic And Racial Differences in Stroke (REGARDS) study (2003-present). Selected biomarkers will be assessed for contributions to racial disparities in risk factor development over median 9.4 years of follow-up, with initial focus on hypertension, and diabetes. Here we outline study design decisions and statistical considerations for the sampling of 4,400 BioMedioR participants.

resultsThe population for biomarker assessment was selected using a random sample study design balanced across race and sex to provide the optimal opportunity to describe association of biomarkers with the development of hypertension and diabetes. Descriptive characteristics of the BioMedioR sample and analytic plans are provided for this nested cohort study.

conclusionsThis nested biomarker study will examine pathways with the target to help explain racial differences in hypertension and diabetes incidence.

Indexed as

Black or African AmericanWhite PeopleAdultBiomarkersCohort StudiesHumansRisk FactorsBiomarkersBiomarkersDiabetesHypertensionRacial disparityStudy design

Identifiers

PMID34742867
PMCPMC8920757

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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.