Evidence map›Paper›PMID 40136300›Full record

SynthesisJAMA network open2025

Education Levels and Poststroke Cognitive Trajectories.

Mellanie V Springer, Rachael T Whitney, Wen Ye, Emily M Briceño, Alden L Gross, Hugo J Aparicio, Alexa S Beiser, James F Burke, Mitchell S V Elkind, Rebecca A Ferber and 12 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. 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

22 authors.

Mellanie V SpringerDepartment of Neurology and Stroke Program, University of Michigan, Ann Arbor.
Rachael T WhitneyDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Wen YeDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor.
Emily M BriceñoDepartment of Neurology and Stroke Program, University of Michigan, Ann Arbor.
Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Hugo J AparicioDepartment of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts.
Alexa S BeiserDepartment of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts.
James F BurkeDepartment of Neurology, Ohio State University College of Medicine, Columbus.
Mitchell S V ElkindDepartment of Neurology, Vagelos College of Physicians and Surgeons , Columbia University, New York, New York.
Rebecca A FerberDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Bruno GiordaniDepartment of Psychiatry, Michigan Alzheimer's Disease Center, University of Michigan, Ann Arbor.
Rebecca F GottesmanStroke Branch, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland.
Rodney A HaywardInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Virginia J HowardDepartment of Epidemiology, University of Alabama at Birmingham School of Public Health.
Adam S KolliparaDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Silvia KotonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Ronald M LazarDepartment of Neurology, Evelyn F. McKnight Brain Institute, Heersink School of Medicine, University of Alabama at Birmingham.
W T LongstrethDepartment of Neurology, University of Washington, Seattle.
Sarah T PendleburyWolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Jeremy B SussmanInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Evan L ThackerDepartment of Public Health, Brigham Young University, Provo, Utah.
Deborah A LevineDepartment of Neurology and Stroke Program, University of Michigan, Ann Arbor.

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
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
EPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM STUDYR01AG008122 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 1989 to 2015
$14.4M
MRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5M
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
ARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4M
Pilot CoreP30AG066582 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Julie PW Bynum · 2020 to 2026
$7.2M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
NCI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01HC55222NHLBI NIH HHS R01 HL172803NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NHLBI NIH HHS U01 HL130114NIA NIH HHS K23 AG080035NIA NIH HHS P30 AG066582NIA NIH HHS R01 AG008122NIA NIH HHS R01 AG016495NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG033193NIA NIH HHS R01 AG054076NIA NIH HHS RF1 AG059421NIA NIH HHS RF1 AG068410NINDS NIH HHS K01 NS117555NINDS NIH HHS R01 NS017950NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

Importance: Acute stroke is associated with accelerated, years-long cognitive decline. Whether education levels are associated with faster cognitive decline after stroke is unclear. Objective: To evaluate the association of education level with poststroke cognitive decline and to determine whether age at stroke modifies the association. Design, Setting, and Participants: Individual participant data meta-analysis of 4 US cohort studies (January 1971 to December 2019). Analysis began August 2022 and was completed in January 2024. Exposures: Education level (less than high school, completed high school, some college, and college graduate). Main Outcomes and Measures: Harmonized cognitive outcomes were global cognition (primary outcome), memory, and executive function. Outcomes were standardized as t scores (mean [SD], 50 [10]); a 1-point difference represents a 0.1-SD difference in cognition, with higher score representing better function. Linear mixed-effect models estimated the trajectory of cognitive decline after incident stroke. Results: The analysis included 2019 initially dementia-free stroke survivors (1048 female [51.9%]; median [IQR] age at stroke, 74.8 [69.0-80.4] years; 339 with less than a high school education [16.7%]; 613 who completed high school [30.4%]; 484 with some college [24.0%]; 583 with a college degree or higher [28.9%]). Median (IQR) follow-up time after stroke was 4.1 (1.8-7.2) years. Compared with those with less than a high school degree, college graduates had higher initial poststroke performance in global cognition (1.09 points higher; 95% CI, 0.02 to 2.17 points higher), executive function (1.81 points higher; 95%CI, 0.38 to 3.24 points higher), and memory (0.99 points higher; 95% CI, 0.02 to 1.96 points higher). Compared with stroke survivors with less than a high school education, there was a faster decline in executive function among college graduates (-0.44 points/y faster; 95% CI, -0.69 to -0.18 points/y faster) and those with some college education(-0.30 points/y faster; 95% CI, -0.57 to -0.03 points/y faster). Education level was not associated with declines in global cognition or memory. Age did not modify the association of education with cognitive decline. Conclusions and Relevance: In this pooled cohort study, the trajectory of cognitive decline after stroke varied by education level and cognitive domain, suggesting that stroke survivors with a higher education level may have greater cognitive reserve but steeper decline in executive function than those with a lower education level.

Indexed as

Cognitive DysfunctionEducational StatusStrokeAgedAged, 80 and overCognitionCohort StudiesFemaleHumansMaleMiddle Aged

Identifiers

PMID40136300
PMCPMC11947833

What Socratic holds

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LicenceCC BY
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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 Socratic graph.