Evidence map›Paper›PMID 38715716›Full record

ArticleBrain communications2024

Impact of long-term white matter hyperintensity changes on mobility and dexterity.

Angela C C Jochems, Susana Muñoz Maniega, Francesca M Chappell, Una Clancy, Carmen Arteaga, Daniela Jaime Garcia, Olivia K L Hamilton, Will Hewins, Rachel Locherty, Ellen V Backhouse and 15 more

Abstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
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

25 authors.

Angela C C JochemsCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-7392-3066
Susana Muñoz ManiegaCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-5185-6384
Francesca M ChappellCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-7742-1757
Una ClancyCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Carmen ArteagaCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Daniela Jaime GarciaCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Olivia K L HamiltonCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Will HewinsCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Rachel LochertyCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Ellen V BackhouseCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-5083-9945
Gayle BarclayCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Charlotte JardineCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Donna McIntyreCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Iona GerrishCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Yajun ChengCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Xiaodi LiuCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Junfang ZhangCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Agniete KampaiteCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Eleni SakkaCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Maria Valdés HernándezCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Stewart WisemanCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Michael S StringerCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-3811-4439
Michael J ThrippletonCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Fergus N DoubalCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.
Joanna M WardlawCentre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-9812-6642

Funding

Wellcome Trust
6 · The paper itself

Abstract

White matter hyperintensities (WMH), a common feature of cerebral small vessel disease, are related to worse clinical outcomes after stroke. We assessed the impact of white matter hyperintensity changes over 1 year after minor stroke on change in mobility and dexterity, including differences between the dominant and non-dominant hands and objective in-person assessment versus patient-reported experience. We recruited participants with lacunar or minor cortical ischaemic stroke, performed medical and cognitive assessments and brain MRI at presentation and at 1 year. At both time points, we used the timed-up and go test and the 9-hole peg test to assess mobility and dexterity. At 1 year, participants completed the Stroke Impact Scale. We ran two linear mixed models to assess change in timed-up and go and 9-hole peg test, adjusted for age, sex, stroke severity (National Institutes of Health Stroke Scale), dependency (modified Rankin Score), vascular risk factor score, white matter hyperintensity volume (as % intracranial volume) and additionally for 9-hole peg test: Montreal cognitive assessment, hand (dominant/non-dominant), National Adult Reading Test (premorbid IQ), index lesion side. We performed ordinal logistic regression, corrected for age and sex, to assess relations between timed-up and go and Stroke Impact Scale mobility, and 9-hole peg test and Stroke Impact Scale hand function. We included 229 participants, mean age 65.9 (standard deviation = 11.13); 66% male. 215/229 attended 1-year follow-up. Over 1 year, timed-up and go time increased with aging (standardized β [standardized 95% Confidence Interval]: 0.124[0.011, 0.238]), increasing National Institutes of Health Stroke Scale (0.106[0.032, 0.180]), increasing modified Rankin Score (0.152[0.073, 0.231]) and increasing white matter hyperintensity volume (0.176[0.061, 0.291]). Men were faster than women (-0.306[0.011, 0.238]). Over 1 year, slower 9-hole peg test was related to use of non-dominant hand (0.290[0.155, 0.424]), aging (0.102[0.012, 0.192]), male sex (0.182[0.008, 0.356]), increasing National Institutes of Health Stroke Scale (0.160 [0.094, 0.226]), increasing modified Rankin Score (0.100[0.032, 0.169]), decreasing Montreal cognitive assessment score (-0.090[-0.167, -0.014]) and increasing white matter hyperintensity volume (0.104[0.015, 0.193]). One year post-stroke, Stroke Impact Scale mobility worsened per second increase on timed-up and go, odds ratio 0.67 [95% confidence interval 0.60, 0.75]. Stroke Impact Scale hand function worsened per second increase on the 9-hole peg test for the dominant hand (odds ratio 0.79 [0.71, 0.86]) and for the non-dominant hand (odds ratio 0.88 [0.83, 0.93]). Decline in mobility and dexterity is associated with white matter hyperintensity volume increase, independently of stroke severity. Mobility and dexterity declined more gradually for stable and regressing white matter hyperintensity volume. Dominant and non-dominant hands might be affected differently. In-person measures of dexterity and mobility are associated with self-reported experience 1-year post-stroke.

Indexed as

dexterityimagingmobilitysmall vessel diseasewhite matter hyperintensity

Identifiers

PMID38715716
PMCPMC11074793

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.