Evidence map›Paper›PMID 36685216›Full record

ArticleAphasiology2022

Factors predicting long-term recovery from post-stroke aphasia.

Denise Y Harvey, Shreya Parchure, Roy H Hamilton

Open access · greenAbstract read
In one paragraph

Article in Aphasiology, 2022. 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
1.2field-weighted citation impact, top 23% 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, 21 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

3 authors at 2 institutions in 1 country.

Denise Y HarveyDepartment of Neurology, University of Pennsylvania, Philadelphia, PA.
Shreya ParchureDepartment of Neurology, University of Pennsylvania, Philadelphia, PA.
Roy H HamiltonDepartment of Neurology, University of Pennsylvania, Philadelphia, PA.
University of Pennsylvania · USMoss Rehabilitation Hospital · US

Funding

Postdoctoral Training in Translational Neurorehabilitation ResearchT32HD071844 · NICHD · ALBERT EINSTEIN HEALTHCARE NETWORK · PI WHYTE, JOHN · 2013 to 2022
$2.2M
TMS as a Biomarker of Plasticity in Aphasia RecoveryR01DC012780 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI HAMILTON, ROY H · 2013 to 2017
$1.8M
NICHD NIH HHS T32 HD071844NIDCD NIH HHS R01 DC012780
6 · The paper itself

Abstract

Background: It remains widely accepted that spontaneous recovery from aphasia is largely limited to the first related factors. This has direct implications for acute and chronic interventions for aphasia. few months following stroke. A few recent studies challenge this view, revealing that some individuals' language abilities improve even during the chronic stage. Aims: To identify prognostic indicators of long-term aphasia recovery. Methods & Procedures: Eighteen people with aphasia initially evaluated in the chronic stage were retested at least one year later. The Western Aphasia Battery-Revised (WAB-R) Aphasia Quotient (AQ) was used to quantify changes in language impairment. Prognostic factors included those related to the patient (demographic, psychosocial), stroke (lesion volume and location), and treatment (medical, rehabilitative). Outcomes & Results: Twelve participants improved and 6 remained stable or declined. Linear regression analysis revealed that lesion volume predicted long-term language gains, with smaller lesions yielding greater improvements. Individuals who did not improve were more likely to have lesions encompassing critical frontal and temporoparietal cortical regions and interconnecting white matter pathways. Exploratory regression analysis of psychosocial and treatment-related factors revealed a positive relationship between improvement and satisfaction with life participation, and a negative relationship between improvement and perceived impairment severity. Critically, psychosocial and treatment-related factors significantly improved model fit over lesion volume, suggesting that these factors add predictive value to determining long-term aphasia prognosis. Conclusions: Long-term aphasia recovery is multidetermined by a combination of stroke-, psychosocial-, and treatment-related factors. This has direct implications for acute and chronic interventions for aphasia.

Indexed as

acquired language disorderAphasialong-term recoveryneurological rehabilitationneuroplasticitystroke

Identifiers

PMID36685216
PMCPMC9855303
OpenAlexW3194977001

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.