Evidence map›Paper›PMID 40435444›Full record

ArticleNeurology2025

Association of Self-Reported Sleep Metrics With Imaging Markers of Small Vessel Disease and Cognition in Patients With TIA or Mild Stroke.

Dillys Xiaodi Liu, Mary Sau-Man Ip, David Chi-Leung Lam, Francesca M Chappell, Una Clancy, Daniela Jaime Garcia, Carmen Arteaga-Reyes, Maria Del C Valdés Hernández, Michael Thrippleton, Michael S Stringer and 5 more

Abstract read
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

15 authors.

Dillys Xiaodi LiuDivision of Neurology, Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China.ORCID 0000-0003-3091-1932
Mary Sau-Man IpDivision of Respiratory Medicine, Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China.
David Chi-Leung LamDivision of Respiratory Medicine, Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China.
Francesca M ChappellCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0002-7742-1757
Una ClancyCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0002-8062-7537
Daniela Jaime GarciaCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0002-9457-9855
Carmen Arteaga-ReyesCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0003-2424-7123
Maria Del C Valdés HernándezCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0003-2771-6546
Michael ThrippletonCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0001-7858-9917
Michael S StringerCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0002-3811-4439
Yajun ChengDepartment of Neurology, West China Hospital, Sichuan University, Chengdu.ORCID 0000-0002-5227-9811
Junfang ZhangDepartment of Neurology & Institute of Neurology, Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine, China; and.ORCID 0000-0001-5969-4789
Fergus DoubalCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0002-2769-3148
Gary Kui Kai LauDivision of Neurology, Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China.ORCID 0000-0002-8657-2418
Joanna M WardlawCentre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.ORCID 0000-0002-9812-6642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesDisturbed sleep is common after stroke, yet its relationship with cerebral small vessel disease (SVD) and cognitive performance in the stroke population, particularly patients with TIA/mild stroke who are on the milder end of the cerebrovascular spectrum, remains understudied. We aim to examine the associations of self-reported sleep metrics with neuroimaging markers of SVD and cognitive performance in patients with TIA/mild stroke from 2 prospective stroke cohorts.

methodsWe studied adult patients with TIA/mild stroke (NIH Stroke Scale [NIHSS] score <7) who were consecutively recruited from Mild Stroke Study 3 (MSS3, University of Edinburgh) and the stroke cohort (the University of Hong Kong, HKU) during 2018-2022. Both MSS3 (N = 211) and HKU (N = 211) cohorts assessed SVD burden visually on brain MRI, cognitive performance using Montreal Cognitive Assessment (MoCA), and sleep quality using a structured sleep questionnaire at baseline visit. The primary outcomes were SVD markers, and the secondary outcome was total MoCA score. The associations of sleep metrics with SVD markers and cognitive performance were assessed using regression models, adjusted for demographics, vascular risk factors, history of depression and stroke, and study sites.

resultsIn 422 patients (65.6 ± 11.8 years, 67% male, median NIHSS score 1.0), longer in-bed time was independently associated with greater global SVD and Fazekas periventricular white matter hyperintensity (WMH) burden: odds ratio (OR) DISCUSSION: Disturbed sleep, including longer in-bed time and longer sleep duration, was cross-sectionally associated with greater SVD burden and worse cognitive performance in patients with TIA/mild stroke. Future longitudinal studies are warranted to validate our findings.

Indexed as

Cerebral Small Vessel DiseasesCognitionCognitive DysfunctionIschemic Attack, TransientSleepStrokeAgedCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingProspective StudiesSelf Report

Identifiers

PMID40435444
PMCPMC12113490

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.