Evidence map›Paper›PMID 31004072›Full record

ArticleNeurology2019

Inflammatory cytokines and ischemic stroke risk: The REGARDS cohort.

Nancy Swords Jenny, Peter W Callas, Suzanne E Judd, Leslie A McClure, Brett Kissela, Neil A Zakai, Mary Cushman

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 4 pooled it
6.2field-weighted citation impact, top 3% 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

88 citing papers in PubMed, 4 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
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  11. The role of IL-6 in atherosclerosis: a narrative review.Frontiers in cardiovascular medicine · 2026
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28 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Nancy Swords JennyFrom the Departments of Pathology and Laboratory Medicine (N.S.J., N.A.Z., M.C.) and Medicine (N.A.Z., M.C.), University of Vermont Larner College of Medicine, Burlington; Department of Biometry (P.W.C.), University of Vermont, Burlington; Department of Biostatistics (S.E.J.), University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M.), Dornsife School of Public Health, Drexel University, Philadelphia, PA; and Department of Neurology and Rehabilitation Medicine (B.K.), University of Cincinnati College of Medicine, OH.
Peter W CallasFrom the Departments of Pathology and Laboratory Medicine (N.S.J., N.A.Z., M.C.) and Medicine (N.A.Z., M.C.), University of Vermont Larner College of Medicine, Burlington; Department of Biometry (P.W.C.), University of Vermont, Burlington; Department of Biostatistics (S.E.J.), University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M.), Dornsife School of Public Health, Drexel University, Philadelphia, PA; and Department of Neurology and Rehabilitation Medicine (B.K.), University of Cincinnati College of Medicine, OH.
Suzanne E JuddFrom the Departments of Pathology and Laboratory Medicine (N.S.J., N.A.Z., M.C.) and Medicine (N.A.Z., M.C.), University of Vermont Larner College of Medicine, Burlington; Department of Biometry (P.W.C.), University of Vermont, Burlington; Department of Biostatistics (S.E.J.), University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M.), Dornsife School of Public Health, Drexel University, Philadelphia, PA; and Department of Neurology and Rehabilitation Medicine (B.K.), University of Cincinnati College of Medicine, OH.ORCID 0000-0001-7594-6587
Leslie A McClureFrom the Departments of Pathology and Laboratory Medicine (N.S.J., N.A.Z., M.C.) and Medicine (N.A.Z., M.C.), University of Vermont Larner College of Medicine, Burlington; Department of Biometry (P.W.C.), University of Vermont, Burlington; Department of Biostatistics (S.E.J.), University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M.), Dornsife School of Public Health, Drexel University, Philadelphia, PA; and Department of Neurology and Rehabilitation Medicine (B.K.), University of Cincinnati College of Medicine, OH.
Brett KisselaFrom the Departments of Pathology and Laboratory Medicine (N.S.J., N.A.Z., M.C.) and Medicine (N.A.Z., M.C.), University of Vermont Larner College of Medicine, Burlington; Department of Biometry (P.W.C.), University of Vermont, Burlington; Department of Biostatistics (S.E.J.), University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M.), Dornsife School of Public Health, Drexel University, Philadelphia, PA; and Department of Neurology and Rehabilitation Medicine (B.K.), University of Cincinnati College of Medicine, OH.
Neil A ZakaiFrom the Departments of Pathology and Laboratory Medicine (N.S.J., N.A.Z., M.C.) and Medicine (N.A.Z., M.C.), University of Vermont Larner College of Medicine, Burlington; Department of Biometry (P.W.C.), University of Vermont, Burlington; Department of Biostatistics (S.E.J.), University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M.), Dornsife School of Public Health, Drexel University, Philadelphia, PA; and Department of Neurology and Rehabilitation Medicine (B.K.), University of Cincinnati College of Medicine, OH.
Mary CushmanFrom the Departments of Pathology and Laboratory Medicine (N.S.J., N.A.Z., M.C.) and Medicine (N.A.Z., M.C.), University of Vermont Larner College of Medicine, Burlington; Department of Biometry (P.W.C.), University of Vermont, Burlington; Department of Biostatistics (S.E.J.), University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M.), Dornsife School of Public Health, Drexel University, Philadelphia, PA; and Department of Neurology and Rehabilitation Medicine (B.K.), University of Cincinnati College of Medicine, OH. Mary.Cushman@uvm.edu.
University of Vermont · US

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
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
NIDDK NIH HHS P30 DK079626NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

objectiveWe studied circulating interleukin (IL)-6, IL-8, and IL-10 concentrations and incident ischemic stroke risk in a biracial cohort, and determined if these cytokines mediated the racial disparity in stroke incidence affecting the black population.

methodsThe Reasons for Geographic and Racial Differences in Stroke study enrolled 30,237 black and white men and women age ≥45 in 2003-2007. We measured baseline IL-6, IL-8, and IL-10 in a case-cohort study of 557 participants with incident stroke over 5.4 years and 951 participants in a cohort sample.

resultsIL-6, but not IL-8 or IL-10, was higher in cases compared to the cohort sample (mean 4.5 vs 3.7 ng/mL;

conclusionsIn this biracial population-based sample, IL-6 was strongly associated with risk of incident stroke and mediated the racial disparity in stroke via inflammatory effects of risk factors. Further study on the clinical utility of IL-6 measurement in stroke risk assessment would be helpful.

Indexed as

AgedBlack or African AmericanBrain IschemiaCase-Control StudiesCytokinesFemaleHumansIncidenceInterleukin-10Interleukin-6Interleukin-8MaleMiddle AgedProportional Hazards ModelsStrokeWhite PeopleCXCL8 protein, humanCytokinesIL10 protein, humanIL6 protein, humanInterleukin-10Interleukin-6Interleukin-8

Identifiers

PMID31004072
PMCPMC6598817
OpenAlexW2939540939

What OpenQuestion holds

Textmetadata
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.