Evidence map›Paper›PMID 42153299›Full record

ArticleStroke2026

Longitudinal Trajectories of Global and Domain-Specific Cognition After Stroke Using the Oxford Cognitive Screen.

Elise Milosevich, Andrea Kusec, Sarah T Pendlebury, Nele Demeyere

Abstract read
In one paragraph

Article 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Elise Milosevich *Investigative Medicine Division, Radcliffe Department of Medicine (E.M.), University of Oxford, United Kingdom.
Andrea Kusec *Nuffield Department of Clinical Neurosciences (A.K., N.D.), University of Oxford, United Kingdom.ORCID 0000-0003-0128-4677
Sarah T PendleburyNuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia (S.T.P.), University of Oxford, United Kingdom.ORCID 0000-0003-3603-8388
Nele DemeyereNuffield Department of Clinical Neurosciences (A.K., N.D.), University of Oxford, United Kingdom.ORCID 0000-0003-0416-5147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive impairment is common after stroke and linked to poor outcomes, yet long-term recovery or decline, particularly across specific cognitive domains, remains unclear. Most studies use brief global screeners with short follow-up, limiting insight into recovery patterns. This study aimed to characterize domain-specific cognitive trajectories over ≥2 years poststroke and identify predictors of persistent impairment.

methodsParticipants were recruited at a regional acute stroke unit (John Radcliffe Hospital, Oxford, United Kingdom; 2012-2019) and assessed acutely, at 6 months, and ≥2 years poststroke. The Oxford Cognitive Screen was administered at all timepoints. Global impairment severity was quantified by the proportion of Oxford Cognitive Screen subtasks impaired. Logistic mixed-effects models examined longitudinal change and predictors of domain-specific impairments (language, memory, attention, executive function, and number processing). Latent class growth analysis identified distinct cognitive trajectories. Models were adjusted for acute cognitive impairment severity and time.

resultsOf 866 patients assessed acutely, 105 were followed up at ≥2 years (98 with complete Oxford Cognitive Screen data; median, 4.1 [interquartile range, 3.3] years; mean age, 69 years, 41% female). Cognitive impairment severity improved substantially by 6 months (β=-0.11;

conclusionsCognitive recovery is most pronounced within 6 months and continues across domains though executive dysfunction often persists. Acute impairment severity best predicted long-term outcomes, while vascular and demographic factors were less informative. Distinct trajectory classes highlight the need for individualized, long-term cognitive monitoring to guide rehabilitation and prognostication. These findings underscore the importance of long-term cognitive follow-up in stroke care and provide empirical benchmarks for recovery across domains.

Indexed as

CognitionCognitive DysfunctionStrokeAgedExecutive FunctionFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological Testscognitioncognitive dysfunctionfollow-up studieslong-term carestroke

Identifiers

PMID42153299
PMCPMC13281978

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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.