Evidence map›Paper›PMID 27066930›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2016

Risk Factors for Rapid Kidney Function Decline Among African Americans: The Jackson Heart Study (JHS).

Bessie A Young, Ronit Katz, L Ebony Boulware, Bryan Kestenbaum, Ian H de Boer, Wei Wang, Tibor Fülöp, Nisha Bansal, Cassianne Robinson-Cohen, Michael Griswold and 3 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04117204 (Identifying a Cardiorenal Protective Diet in a Lower-income African American Population With Chronic Kidney Disease at Risk for Cardiovascular Disease.), which is not on this map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 2% 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.

NCT04117204 nacompletednot on this mapstarted 2019, after this paper: background citation

Identifying a Cardiorenal Protective Diet in a Lower-income African American Population With Chronic Kidney Disease at Risk for Cardiovascular Disease.

TypeinterventionalSponsorBaylor Research InstituteRan2019 to 2020Enrolled101ConditionsChronic Kidney Diseases, Cardiovascular Diseases, HypertensionArmsFruits and Vegetables
3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Clonal Hematopoiesis of Indeterminate Potential and Kidney Function Decline in the General Population.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Pooled it
  2. Guideline
  3. Review
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  6. Ethnic Disparities in CKD Progression: A Comparative Study of CRIC and KNOW-CKD Cohorts.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
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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 at 5 institutions in 1 country.

Bessie A YoungCenter of Innovation, Veterans Affairs Puget Sound Health Care System, Seattle, WA; Hospital and Specialty Medicine, Veterans Affairs Puget Sound Health Care System, Seattle, WA; Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA. Electronic address: youngb@uw.edu.
Ronit KatzKidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA.
L Ebony BoulwareDepartment of Medicine, Duke University, Durham, NC.
Bryan KestenbaumKidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA.
Ian H de BoerHospital and Specialty Medicine, Veterans Affairs Puget Sound Health Care System, Seattle, WA; Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA.
Wei WangCenter of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS.
Tibor FülöpDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS.
Nisha BansalKidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA.
Cassianne Robinson-CohenKidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA.
Michael GriswoldCenter of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS.
Neil R PoweDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
Jonathan HimmelfarbKidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA.
Adolfo CorreaDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS.
University of Washington · USUniversity of Mississippi Medical Center · USVA Puget Sound Health Care System · USDuke University · USUniversity of California, San Francisco · US

Funding

CKD-Targeted Analyses of the Jackson Heart StudyR01DK102134 · NIDDK · UNIVERSITY OF WASHINGTON · PI YOUNG, BESSIE ANN · 2013 to 2015
$829k
NHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNIDDK NIH HHS R01 DK102134
6 · The paper itself

Abstract

backgroundRacial differences in rapid kidney function decline exist, but less is known regarding factors associated with rapid decline among African Americans. Greater understanding of potentially modifiable risk factors for early kidney function loss may help reduce the burden of kidney failure in this high-risk population. STUDY

designProspective cohort study. SETTING &

participants3,653 African American participants enrolled in the Jackson Heart Study (JHS) with kidney function data from 2 of 3 examinations (2000-2004 and 2009-2013). Estimated glomerular filtration rate (eGFR) was calculated from serum creatinine using the CKD-EPI creatinine equation. PREDICTORS: Demographics, socioeconomic status, lifestyle, and clinical risk factors for kidney failure. OUTCOMES: Rapid decline was defined as a ≥30% decline in eGFR during follow-up. We quantified the association of risk factors with rapid decline in multivariable models. MEASUREMENTS: Clinical (systolic blood pressure and albuminuria [albumin-creatinine ratio]) and modifiable risk factors.

resultsMean age was 54±12 (SD) years, 37% were men, average body mass index was 31.8±7.1kg/m(2), 19% had diabetes mellitus (DM), and mean eGFR was 96.0±20mL/min/1.73m(2) with an annual rate of decline of 1.27mL/min/1.73m(2). Those with rapid decline (11.5%) were older, were more likely to be of low/middle income, and had higher systolic blood pressures and greater DM than those with nonrapid decline. Factors associated with ≥30% decline were older age (adjusted OR per 10 years older, 1.51; 95% CI, 1.34-1.71), cardiovascular disease (adjusted OR, 1.53; 95% CI, 1.12-2.10), higher systolic blood pressure (adjusted OR per 17mmHg greater, 1.22; 95% CI, 1.06-1.41), DM (adjusted OR, 2.63; 95% CI, 2.02-3.41), smoking (adjusted OR, 1.60; 95% CI, 1.10-2.31), and albumin-creatinine ratio > 30mg/g (adjusted OR, 1.55; 95% CI, 1.08-1.21). Conversely, results did not support associations of waist circumference, C-reactive protein level, and physical activity with rapid decline. LIMITATIONS: No midstudy creatinine measurement at examination 2 (2005-2008).

conclusionsRapid decline heterogeneity exists among African Americans in JHS. Interventions targeting potentially modifiable factors may help reduce the incidence of kidney failure.

Indexed as

Black or African AmericanFemaleHumansKidneyKidney Function TestsMaleMiddle AgedProspective StudiesRenal InsufficiencyRisk FactorsTime FactorsAfrican AmericanChronic kidney disease (CKD)disease trajectoryestimated glomerular filtration rate (eGFR)ethnic differencesJackson Heart Study (JHS)kidney disease progressionrapid kidney function declinerenal failurerisk factor

Identifiers

PMID27066930
PMCPMC5445065
OpenAlexW2326314337

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.