Evidence map›Paper›PMID 30958970›Full record

ArticleAmerican journal of speech-language pathology2019

Progression of Aphasia Severity in the Chronic Stages of Stroke.

Lisa Johnson, Alexandra Basilakos, Grigori Yourganov, Bo Cai, Leonardo Bonilha, Chris Rorden, Julius Fridriksson

Abstract read
In one paragraph

Article in American journal of speech-language pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Trial
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  5. Article
  6. Digital Twin Model of Treatment Outcomes in Post-Stroke Aphasia.medRxiv : the preprint server for health sciences · 2026
    Article
  7. Article
  8. The nonlinear trajectory of post-stroke aphasia recovery.Frontiers in human neuroscience · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
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  14. TEleRehabilitation foR Aphasia (TERRA) phase II trial design.Contemporary clinical trials communications · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Insights gained over 60 years on factors shaping post-stroke aphasia recovery: A commentary on Vignolo (1964).Cortex; a journal devoted to the study of the nervous system and behavior · 2024
    Article
  19. 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

7 authors.

Lisa JohnsonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia.
Alexandra BasilakosDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia.
Grigori YourganovDepartment of Psychology, University of South Carolina, Columbia.
Bo CaiDepartment of Biostatistics, University of South Carolina, Columbia.
Leonardo BonilhaDepartment of Neurology, Medical University of South Carolina, Charleston.
Chris RordenDepartment of Psychology, University of South Carolina, Columbia.
Julius FridrikssonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia.

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2016 to 2025
$25.0M
Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Trans-cranial Direct Current Stimulation to Treat Aphasia: Phase II TrialU01DC011739 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2012 to 2016
$4.4M
Interdisciplinary Research Training in Otolaryngology and Communication SciencesT32DC014435 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DUBNO, JUDY R · 2015 to 2024
$2.9M
Neural Predictors of Anomia Recovery in AphasiaR01DC008355 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2007 to 2011
$1.7M
A Unified Neuroanatomical Model of Speech Production and Perception: ImplicationsR01DC009571 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS, RORDEN, CHRISTOPHER · 2009 to 2013
$1.6M
SEMANTIC FEATURE PROCESSING IN INDIVIDUALS WITH STROKE APHASIAR03DC010262 · NIDCD · WORCESTER STATE COLLEGE · PI ANTONUCCI, SHARON · 2010 to 2012
$409k
Speech Entrainment Treatment for Broca's AphasiaR21DC014170 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2015 to 2016
$403k
Neurological Predictors of Aphasia RecoveryR03DC005915 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2003 to 2005
$218k
NIDCD NIH HHS P50 DC014664NIDCD NIH HHS R01 DC008355NIDCD NIH HHS R01 DC009571NIDCD NIH HHS R03 DC005915NIDCD NIH HHS R03 DC010262NIDCD NIH HHS R21 DC014170NIDCD NIH HHS T32 DC014435NIDCD NIH HHS U01 DC011739NIGMS NIH HHS P20 GM109040
6 · The paper itself

Abstract

Background and Purpose The severity of aphasic impairment in chronic stroke survivors is typically thought to be stable by 6 months postonset. However, a recent study showed that stroke survivors with aphasia experience language improvement or decline in the chronic phase, years beyond onset. Little is known about why some individuals improve whereas others remain stable or decline. Additionally, no study has tracked changes in aphasia from assessments completed at multiple time points across many years. The current study offers a comprehensive analysis of potential predictive demographic and health information to determine which factors predict dynamic changes in aphasia severity in chronic stroke. Methods Individuals in the chronic stage of a single-event, left-hemisphere ischemic stroke were identified from an archival database and included for study ( N = 39). Participants were included if they had undergone 2 or more standardized language assessments acquired at time points at least 6 months apart, with the 1st assessment at least 6 months postinjury. A linear mixed-effects model was used to determine the impact of treatment and a variety of demographic and health factors on language change. Results Over time, half of the participants improved (51%), whereas approximately a quarter (26%) decreased, and a quarter (23%) remained stable. A greater number of aphasia treatment hours significantly predicted language improvement ( p = .03), whereas older stroke age was associated with long-term decline ( p = .04). Two interactions were found to be significant in predicting improvement in individuals with diabetes: Increased exercise and younger age at stroke were significant in predicting outcomes ( p < .05). Conclusions Factors that significantly influence language recovery in chronic aphasia include stroke age and receiving aphasia treatment. For those with diabetes, increased exercise was shown to improve outcomes. Results from this study offer clinicians greater insight into the influence of patient factors on long-term recovery from stroke aphasia while suggesting a potential adjunct to language therapy: exercise. Supplemental Material https://doi.org/10.23641/asha.7849304.

Indexed as

LanguageAdultAgedAphasiaChronic DiseaseDatabases, FactualDisease ProgressionFemaleHumansLanguage TestsMaleMiddle AgedRecovery of FunctionSeverity of Illness IndexStrokeStroke Rehabilitation

Identifiers

PMID30958970
PMCPMC6802862

What OpenQuestion holds

Textmetadata
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.