Evidence map›Paper›PMID 28526763›Full record

ArticleStroke2017

Self-Reported Stroke Risk Stratification: Reasons for Geographic and Racial Differences in Stroke Study.

George Howard, Leslie A McClure, Claudia S Moy, Virginia J Howard, Suzanne E Judd, Ya Yuan, D Leann Long, Paul Muntner, Monika M Safford, Dawn O Kleindorfer

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

Article in Stroke, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. A systematic review of the status and methodological considerations for estimating risk of first ever stroke in the general population.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  3. Pooled it
  4. Stroke prevention in rural residents: development of a simplified risk assessment tool with artificial intelligence.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Trial
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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

10 authors at 4 institutions in 1 country.

George HowardFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.). ghoward@uab.edu.
Leslie A McClureFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
Claudia S MoyFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
Virginia J HowardFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
Suzanne E JuddFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
Ya YuanFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
D Leann LongFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
Paul MuntnerFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
Monika M SaffordFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
Dawn O KleindorferFrom the Departments of Biostatistics (G.H., S.E.J., Y.Y., D.L.L.) and Epidemiology (V.J.H., P.M.), School of Public Health, University of Alabama at Birmingham; Department of Biostatistics and Epidemiology, Drexel University, Philadelphia, PA (L.A.M.); National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (C.S.M.); Division of General Internal Medicine, Cornell School of Medicine, New York, NY (M.M.S.); and Department of Neurology, University of Cincinnati, OH (D.O.K.).
Drexel University · USNational Institute of Neurological Disorders and Stroke · USCornell University · USNational Institutes of Health · 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
REGARDS - MI StudyR01HL080477 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2006 to 2020
$11.6M
Understanding Cohort Effects on Stroke, VCID, and Cognition After Major Epidemiologic TransitionsR01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MARY CUSHMAN, VIRGINIA J. HOWARD · 2001 to 2026
$8.8M
NHLBI NIH HHS R01 HL080477NIDDK NIH HHS P30 DK079626NINDS NIH HHS R01 NS041588NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

background and purposeThe standard for stroke risk stratification is the Framingham Stroke Risk Function (FSRF), an equation requiring an examination for blood pressure assessment, venipuncture for glucose assessment, and ECG to determine atrial fibrillation and heart disease. We assess a self-reported stroke risk function (SRSRF) to stratify stroke risk in comparison to the FSRF.

methodsParticipants from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) were evaluated at baseline and followed for incident stroke. The FSRF was calculated using directly assessed stroke risk factors. The SRSRF was calculated from 13 self-reported questions to exclude those with prevalent stroke and assess stroke risk. Proportional hazards analysis was used to assess incident stroke risk using the FSRF and SRSRF.

resultsOver an average 8.2-year follow-up, 939 of 23 983 participants had a stroke. The FSRF and SRSRF produced highly correlated risk scores (

conclusionsA simple self-reported questionnaire can be used to identify those at high risk for stroke better than the gold standard FSRF. This instrument can be used clinically to easily identify individuals at high risk for stroke and also scientifically to identify a subpopulation enriched for stroke risk.

Indexed as

Black PeopleWhite PeopleAgedAged, 80 and overBlack or African AmericanCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedRacial GroupsRandom AllocationRisk AssessmentSelf ReportStrokeatrial fibrillationblood pressureelectrocardiographyrisk factorsstroke

Identifiers

PMID28526763
PMCPMC5493147
OpenAlexW2615018142

What OpenQuestion holds

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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.