Evidence map›Paper›PMID 38113307›Full record

ArticlePsychiatry and clinical neurosciences2024

Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.

Lena K L Oestreich, Jessica W Lo, Maria A Di Biase, Perminder S Sachdev, Alice H Mok, Paul Wright, John D Crawford, Ben Lam, Latchezar Traykov, Sebastian Köhler and 10 more

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

Article in Psychiatry and clinical neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

20 authors at 12 institutions in 9 countries.

Lena K L OestreichSchool of Psychology, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-4978-7794
Jessica W Lo(CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia.
Maria A Di BiaseMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton, Victoria, Australia.
Perminder S Sachdev(CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9595-3220
Alice H MokSchool of Psychology, The University of Queensland, Brisbane, Queensland, Australia.
Paul WrightBiomedical Engineering Department, King's College London, London, UK.
John D Crawford(CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia.
Ben Lam(CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia.
Latchezar TraykovDepartment of Neurology, UH Alexandrovska, Medical University-Sofia, Sofia, Bulgaria.
Sebastian KöhlerSchool for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands.
Julie E A StaalsDepartment of Neurology, School for Cardiovascular diseases (CARIM), Maastricht University Medical Center (MUMC+), The Netherlands.
Robert van OostenbruggeDepartment of Neurology, School for Cardiovascular diseases (CARIM), Maastricht University Medical Center (MUMC+), The Netherlands.
Christopher ChenMemory Ageing and Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
David W DesmondIndependent Researcher, Florida, USA.
Kyung-Ho YuDepartment of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea.
Minwoo LeeDepartment of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea.
Aleksandra Klimkowicz-MrowiecDepartment of Internal Medicine and Gerontology, Jagiellonian University Medical College, Krakow, Poland.
Régis BordetDepartment of Pharmacology, Lille Neuroscience & Cognition, University of Lille, Lille, France.
Michael J O'SullivanDepartment of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Andrew ZaleskyMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton, Victoria, Australia.
UNSW Sydney · AUMaastricht University · NLThe University of Queensland · AUIndependent Colleges and Universities of Florida · USBrigham and Women's Hospital · USHallym University Sacred Heart Hospital · KRJagiellonian University · PLKing's College London · GBMedical University of Sofia · BGNational University of Singapore · SGThe University of Melbourne · AUUniversité de Lille · FR

Funding

Medical Research Council K022113Wellcome Trust
6 · The paper itself

Abstract

aimRecovery from stroke is adversely affected by neuropsychiatric complications, cognitive impairment, and functional disability. Better knowledge of their mutual relationships is required to inform effective interventions. Network theory enables the conceptualization of symptoms and impairments as dynamic and mutually interacting systems. We aimed to identify interactions of poststroke complications using network analysis in diverse stroke samples.

methodsData from 2185 patients were sourced from member studies of STROKOG (Stroke and Cognition Consortium), an international collaboration of stroke studies. Networks were generated for each cohort, whereby nodes represented neuropsychiatric symptoms, cognitive deficits, and disabilities on activities of daily living. Edges characterized associations between them. Centrality measures were used to identify hub items.

resultsAcross cohorts, a single network of interrelated poststroke complications emerged. Networks exhibited dissociable depression, apathy, fatigue, cognitive impairment, and functional disability modules. Worry was the most central symptom across cohorts, irrespective of the depression scale used. Items relating to activities of daily living were also highly central nodes. Follow-up analysis in two studies revealed that individuals who worried had more densely connected networks than those free of worry (CASPER [Cognition and Affect after Stroke: Prospective Evaluation of Risks] study: S = 9.72, P = 0.038; SSS [Sydney Stroke Study]: S = 13.56, P = 0.069).

conclusionNeuropsychiatric symptoms are highly interconnected with cognitive deficits and functional disabilities resulting from stroke. Given their central position and high level of connectedness, worry and activities of daily living have the potential to drive multimorbidity and mutual reinforcement between domains of poststroke complications. Targeting these factors early after stroke may have benefits that extend to other complications, leading to better stroke outcomes.

Indexed as

Cognition DisordersCognitive DysfunctionStrokeActivities of Daily LivingCognitionDepressionHumansaffective disordersdepressionmultimorbiditystrokeworry

Identifiers

PMID38113307
PMCPMC11804916
OpenAlexW4389981171

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.