Evidence map›Paper›PMID 37414568›Full record

ArticleNeurology2023

Association Between Ischemic Stroke Subtype and Stroke Severity: The Atherosclerosis Risk in Communities Study.

Michelle C Johansen, Jinyu Chen, Andrea L C Schneider, Julia Carlson, Taylor Haight, Kamakshi Lakshminarayan, Shalom Patole, Rebecca F Gottesman, Josef Coresh, Silvia Koton

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

Article in Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.4field-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

19 citing papers in PubMed, 30 citations in OpenAlex.

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  19. Differential Diagnostic Value of Machine Learning-Based Models for Embolic Stroke.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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 5 institutions in 1 country.

Michelle C JohansenFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel. mjohans3@jhmi.edu.
Jinyu ChenFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
Andrea L C SchneiderFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
Julia CarlsonFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
Taylor HaightFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
Kamakshi LakshminarayanFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
Shalom PatoleFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
Rebecca F GottesmanFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
Josef CoreshFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
Silvia KotonFrom the Johns Hopkins University School of Medicine (M.C.J.); Johns Hopkins University School of Public Health (J. Chen, J. Coresh), Baltimore, MD; University of Pennsylvania (A.L.C.S.), Philadelphia; University of North Carolina (J. Carlson), Chapel Hill; Virginia Commonwealth University (T.H.), School of Medicine, Richmond; University of Minnesota (K.L., S.P.), Minneapolis; National Institutes of Neurological Disorders and Stroke Intramural Program (R.F.G.), NIH, Bethesda, MD; and Stanley Steyer School of Health Professions (S.K.), Tel Aviv University, Israel.
University of North Carolina at Chapel Hill · USUniversity of Minnesota · USVirginia Commonwealth University · USJohns Hopkins University · USUniversity of Pennsylvania · US

Funding

THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
Stroke, Cognition and Neuroepidemiology SectionZIANS009435 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI GOTTESMAN, REBECCA F · 2022 to 2025
$8.2M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ARGANI, PEDRAM · 2022 to 2025
$4.7M
NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005
6 · The paper itself

Abstract

BACKGROUND AND

objectivesDisability after stroke occurs across ischemic stroke subtypes, with a suggestion that embolic strokes are more devastating. Whether this difference is as a result of differences in comorbidities or differences in severity at the time of the stroke event is not known. The primary hypothesis was that participants with embolic stroke would have more severe stroke at the time of admission and a higher risk of mortality, compared with thrombotic stroke participants even with consideration of confounders over time, with a secondary hypothesis that this association would differ by race and sex.

methodsAtherosclerosis Risk in Communities (ARIC) study participants with incident adjudicated ischemic stroke, stroke severity and mortality data, and complete covariates were included. Multinomial logistic regression models determined the association between stroke subtype (embolic vs thrombotic) and admission NIH Stroke Scale (NIHSS) category (minor [≤5], mild [6-10], moderate [11-15], severe [16-20], and very severe [>20]) adjusted for covariates from visits most proximal to the stroke. Separate ordinal logistic models evaluated for interaction by race and sex. Adjusted Cox proportional hazard models estimated the association between stroke subtype and all-cause mortality (through December 31, 2019).

resultsParticipants (N = 940) were mean age 71 years (SD = 9) at incident stroke, 51% female, and 38% Black. Using adjusted multinomial logistic regression, the risk of having a more severe stroke (reference NIHSS ≤5) was higher among embolic stroke vs thrombotic stroke patients, with a step-wise increase for embolic stroke patients when moving from mild (odds ratio [OR] 1.95, 95% CI 1.14-3.35) to very severe strokes (OR 4.95, 95% CI 2.34-10.48). After adjusting for atrial fibrillation, there was still a higher risk of having a worse NIHSS among embolic vs thrombotic strokes but with attenuation of effect (very severe stroke OR 3.91, 95% CI 1.76-8.67). Sex modified the association between stroke subtype and severity (embolic vs thrombotic stroke, DISCUSSION: Embolic stroke was associated with greater stroke severity at the time of the event and a higher risk of death vs thrombotic stroke, even after careful adjustment for patient-level differences.

Indexed as

AtherosclerosisEmbolic StrokeIschemic StrokeThrombotic StrokeAgedEmbolismFemaleHumansMaleRisk Factors

Identifiers

PMID37414568
PMCPMC10501090
OpenAlexW4383315551

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.