In one paragraphArticle in Stroke, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Shahin YaghoobiDepartment of Neurology (S.Y., M.M.M., P.B.G., F.A.S.), Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0009-0006-2863-0567 Fatemeh SalboukhDepartment of Engineering and Applied Science, University of Massachusetts at Dartmouth (F.S.).ORCID 0009-0009-5183-6549 Donald Llyod-JonesFramingham Center for Population and Prevention Science, Boston University Chobanian & Avedisian School of Medicine, MA (D.L.-J.).ORCID 0000-0003-0847-6110 Norrina AllenDepartment of Preventive Medicine (N.A.), Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0002-6993-4384 David R JacobsDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (D.R.J.).ORCID 0000-0002-7232-0543 Lenore J LaunerLaboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD (L.J.L.).ORCID 0000-0002-3238-7612 Kristine YaffeDepartment of Psychiatry, Neurology and Epidemiology, University of California San Francisco (K.Y.).ORCID 0000-0003-0919-3825 M Marsel MesulamDepartment of Neurology (S.Y., M.M.M., P.B.G., F.A.S.), Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0001-5731-851X Philip B GorelickDepartment of Neurology (S.Y., M.M.M., P.B.G., F.A.S.), Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0002-1181-614X Farzaneh A SorondDepartment of Neurology (S.Y., M.M.M., P.B.G., F.A.S.), Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0002-6127-0739 Funding
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - COORDINATING CENTER (CC)75N92023D00002 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LI, JING · 2023 to 2025
$6.8MCARDIA Year 35 Brain MRI RenewalR01AG062819 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BRYAN, R N · 2019 to 2022
$4.8MCerebral Small Vessels in Motor and Cognitive Decline: Neuroimaging Signatures of Vulnerability & ResilienceR01NS085002 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI FARZANEH A SOROND · 2014 to 2026
$3.8MLifecourse CVD Risk and Midlife Cognitive Trajectories and Brain Aging: Implications for Alzheimer's and Dementia PreventionR01AG063887 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI YAFFE, KRISTINE · 2019 to 2022
$3.0MLifecourse Predictors and Mechanisms of Early Clinical ADRD among Black and White Adults in their SixtiesR01AG091431 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kristine Yaffe · 2025 to 2026
$2.6MCORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - OAKLAND FIELD CENTER75N92023D00003 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BHATT, ANKEET S. · 2023 to 2025
$2.2MCORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - BIRMINGHAM FIELD CENTER75N92023D00005 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA · 2023 to 2025
$2.2MCORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - CHICAGO FIELD CENTERDIVERSITY SUPPLEMENT FOR MORGANN WEST75N92023D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI CARNETHON, MERCEDES · 2023 to 2025
$2.1MCORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - UNIVERSITY OF MINNESOTA FIELD CENTER.75N92023D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI SCHREINER, PAMELA J · 2023 to 2025
$1.7MCerebral Small Vessels in Motor and Cognitive Decline: Neuroimaging Signatures of Vulnerability & ResilienceRF1NS085002 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SOROND, FARZANEH A · 2022 to 2022
$1.5MNHLBI NIH HHS 75N92023D00002NHLBI NIH HHS 75N92023D00003NHLBI NIH HHS 75N92023D00004NHLBI NIH HHS 75N92023D00005NHLBI NIH HHS 75N92023D00006NIA NIH HHS R01 AG062819NIA NIH HHS R01 AG063887NIA NIH HHS R01 AG091431NINDS NIH HHS R01 NS085002NINDS NIH HHS RF1 NS085002
6 · The paper itselfAbstract
backgroundEarly-life vascular risk factors are increasingly linked to midlife cognitive decline, though critical risk periods remain unclear. These factors also relate to structural brain changes, yet midlife alterations tied to cognitive decline are poorly defined. We leveraged data from the CARDIA study (Coronary Artery Risk Development in Young Adults) to identify critical periods and factors associated with midlife cognition and neuroimaging signatures.
methodsWe utilized longitudinal cognitive and neuroimaging data from the prospective CARDIA study with vascular risk factor data spanning 35 years (1985-2020). K-means clustering of cognitive trajectories identified Declined and Stable clusters. A gradient boosting classifier identified factors predictive of cluster membership. Linear mixed-effects models assessed cluster differences in structural brain changes, and structural covariance analyses identified brain network remodeling linked to cognitive decline. Cross-sectional late-midlife cognitive data were used to examine associations between early adulthood (ages 18-40 years) systolic blood pressure strata and cognitive outcomes.
resultsAmong 280 participants with longitudinal data (mean age, 50±3.5 years at baseline; 52% to 56% female, 40% to 41% Black race) followed for a median of 10 years, higher systolic blood pressure and smoking before age 40 years were critical factors for cognitive cluster membership in late midlife (feature importance ≈0.3 and 0.2, respectively). Accelerated accumulation of white matter hyperintensities, gray matter volume changes involving frontal and temporal association cortices, occipital pole and thalamus (β range, -0.0006 to -0.002;
conclusionsBefore age 40 years may be a critical window to manage vascular risk factors and preserve midlife cognition. Linked white matter hyperintensity and gray matter changes suggest that vascular factors drive both cerebrovascular and neurodegenerative injury. A basal forebrain-centered neuroimaging signature, possibly reflecting cholinergic and glial responses to early vascular stress, may serve as an early biomarker for prevention trials.
Indexed as
AgingBrainCognitive DysfunctionAdolescentAdultBlood PressureCross-Sectional StudiesFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingProspective StudiesRisk Factorsagingblood pressurecerebral small vessel diseasescognitionneuroimagingsmoking
Identifiers
PMID42741835
PMCPMC13580207
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