Evidence map›Paper›PMID 24991817›Full record

Trial reportPloS one2014

The association between individual and combined components of metabolic syndrome and chronic kidney disease among African Americans: the Jackson Heart Study.

Vincent L Mendy, Mario J Azevedo, Daniel F Sarpong, Sylvia E Rosas, Olugbemiga T Ekundayo, Jung Hye Sung, Azad R Bhuiyan, Brenda C Jenkins, Clifton Addison

Abstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

9 authors.

Vincent L MendyDepartment of Epidemiology and Biostatistics, School of Health Sciences, College of Public Service, Jackson State University, Jackson, Mississippi, United States of America.
Mario J AzevedoDepartment of Epidemiology and Biostatistics, School of Health Sciences, College of Public Service, Jackson State University, Jackson, Mississippi, United States of America.
Daniel F SarpongDepartment of Epidemiology and Biostatistics, School of Health Sciences, College of Public Service, Jackson State University, Jackson, Mississippi, United States of America; RTRN Data Coordinating Center, Jackson State University, Jackson, Mississippi, United States of America.
Sylvia E RosasJoslin Diabetes Center, Kidney and Hypertension Section, Harvard Medical School, Boston, Massachusetts, United States of America.
Olugbemiga T EkundayoDepartment of Epidemiology and Biostatistics, School of Health Sciences, College of Public Service, Jackson State University, Jackson, Mississippi, United States of America.
Jung Hye SungDepartment of Epidemiology and Biostatistics, School of Health Sciences, College of Public Service, Jackson State University, Jackson, Mississippi, United States of America.
Azad R BhuiyanDepartment of Epidemiology and Biostatistics, School of Health Sciences, College of Public Service, Jackson State University, Jackson, Mississippi, United States of America.
Brenda C JenkinsJackson Heart Study, Jackson State University, Jackson, Mississippi, United States of America.
Clifton AddisonJackson Heart Study, Jackson State University, Jackson, Mississippi, United States of America.

Funding

Understanding Obesity In Relation to the Built EnvironmentP20MD006899 · NIMHD · JACKSON STATE UNIVERSITY · PI ANTOINE-LAVIGNE, DONNA A · 2012 to 2016
$5.3M
NHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNIMHD NIH HHS P20 MD006899
6 · The paper itself

Abstract

introductionApproximately 26.3 million people in the United States have chronic kidney disease and many more are at risk of developing the condition. The association between specific metabolic syndrome components and chronic kidney disease in African American individuals is uncertain.

methodsBaseline data from 4,933 participants of the Jackson Heart Study were analyzed. Logistic regression models were used to estimate the odds and 95% confidence intervals of chronic kidney disease associated with individual components, metabolic syndrome, the number of components, and specific combinations of metabolic syndrome components.

resultsMetabolic syndrome was common with a prevalence of 42.0%. Chronic kidney disease was present in 19.4% of participants. The prevalence of metabolic components was high: elevated blood pressure (71.8%), abdominal obesity (65.8%), low fasting high density lipoprotein cholesterol (37.3%), elevated fasting glucose (32.2%) and elevated triglycerides (16.2%). Elevated blood pressure, triglycerides, fasting blood glucose, and abdominal obesity were significantly associated with increased odds of chronic kidney disease. Participants with metabolic syndrome had a 2.22-fold (adjusted odds ratio (AOR) 2.22; 95% CI, 1.78-2.78) increase in the odds of chronic kidney disease compared to participants without metabolic syndrome. The combination of elevated fasting glucose, elevated triglycerides, and abdominal obesity was associated with the highest odds for chronic kidney disease (AOR 25.11; 95% CI, 6.94-90.90).

conclusionMetabolic syndrome as well as individual or combinations of metabolic syndrome components are independently associated with chronic kidney disease in African American adults.

Indexed as

Black or African AmericanMetabolic SyndromeModels, BiologicalRenal Insufficiency, ChronicAdultBlood GlucoseBlood PressureCholesterol, HDLFemaleHumansMaleMiddle AgedMississippiObesity, AbdominalTriglyceridesBlood GlucoseCholesterol, HDLTriglycerides

Identifiers

PMID24991817
PMCPMC4081650

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Registered trials

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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.