Evidence map›Paper›PMID 38163020›Full record

ArticleArchives of rehabilitation research and clinical translation2023

Longitudinal Progression of White Matter Hyperintensity Severity in Chronic Stroke Aphasia.

Natalie Busby, Roger Newman-Norlund, Janina Wilmskoetter, Lisa Johnson, Chris Rorden, Makayla Gibson, Rebecca Roth, Sarah Wilson, Julius Fridriksson, Leonardo Bonilha

Open access · goldAbstract read
In one paragraph

Article in Archives of rehabilitation research and clinical translation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Digital Twin Model of Treatment Outcomes in Post-Stroke Aphasia.medRxiv : the preprint server for health sciences · 2026
    Article
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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

10 authors at 3 institutions in 1 country.

Natalie BusbyDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC.
Roger Newman-NorlundDepartment of Psychology, University of South Carolina, Columbia, SC.
Janina WilmskoetterDepartment of Neurology, Medical University of South Carolina, Charleston, SC.
Lisa JohnsonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC.
Chris RordenDepartment of Psychology, University of South Carolina, Columbia, SC.
Makayla GibsonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC.
Rebecca RothDepartment of Neurology, Emory University, Atlanta, GA.
Sarah WilsonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC.
Julius FridrikssonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC.
Leonardo BonilhaDepartment of Neurology, Emory University, Atlanta, GA.
University of South Carolina · USEmory University · USMedical University of South Carolina · US

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2016 to 2025
$25.0M
NIDCD NIH HHS P50 DC014664
6 · The paper itself

Abstract

Objective: To determine whether longitudinal progression of small vessel disease in chronic stroke survivors is associated with longitudinal worsening of chronic aphasia severity. Design: A longitudinal retrospective study. Severity of white matter hyperintensities (WMHs) as a marker for small vessel disease was assessed on fluid-attenuated inversion recovery (FLAIR) scans using the Fazekas scale, with ratings for deep WMHs (DWMHs) and periventricular WMHs (PVHs). Setting: University research laboratories. Participants: This study includes data from 49 chronic stroke survivors with aphasia (N=49; 15 women, 34 men, age range=32-81 years, >6 months post-stroke, stroke type: [46 ischemic, 3 hemorrhagic], community dwelling). All participants completed the Western Aphasia Battery-Revised (WAB) and had FLAIR scans at 2 timepoints (average years between timepoints: 1.87 years, Interventions: Not applicable. Main Outcome Measures: Change in white matter hyperintensity severity (calculated using the Fazekas scale) and change in aphasia severity (difference in Western Aphasia Battery scores) were calculated between timepoints. Separate stepwise regression models were used to identify predictors of WMH severity change, with lesion volume, age, time between timepoints, body mass index (BMI), and presence of diabetes as independent variables. Additional stepwise regression models investigated predictors of change in aphasia severity, with PVH change, DWMH change, lesion volume, time between timepoints, and age as independent predictors. Results: 22.5% of participants (11/49) had increased WMH severity. Increased BMI was associated with increases in PVH severity ( Conclusion: Increased small vessel disease burden is associated with contributing to chronic changes in aphasia severity. These findings support the idea that good cardiovascular risk factor control may play an important role in the prevention of long-term worsening of aphasic symptoms.

Indexed as

AphasiaCardiovascular risk factorsRehabilitationSmall vessel diseaseStrokeWhite matter hyperintensities

Identifiers

PMID38163020
PMCPMC10757197
OpenAlexW4387369675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.