Evidence map›Paper›PMID 30639272›Full record

ArticleArchives of physical medicine and rehabilitation2019

Nonlinguistic Cognitive Factors Predict Treatment-Induced Recovery in Chronic Poststroke Aphasia.

Natalie Gilmore, Erin L Meier, Jeffrey P Johnson, Swathi Kiran

Registry-linked trialAbstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01927302 (The Center for the Neurobiology of Language Recovery), which is not on this map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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.

NCT01927302 nacompletednot on this map

The Center for the Neurobiology of Language Recovery (CNLR)

TypeinterventionalSponsorNorthwestern UniversityRan2013 to 2019Enrolled90ConditionsAphasia, Dysgraphia, Anomia, AgrammatismArmsTreatment Focusing on Naming Objects, Treatment Focusing on Improving Spelling Abilities, Treatment Focusing on Improving Sentence Processing, No Treatment
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Language Recovery after Brain Injury: A Structural Network Control Theory Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Trial
  4. Rapid Lexical Retrieval and Executive Functioning in Very Mild Aphasia.American journal of speech-language pathology · 2026
    Article
  5. Article
  6. Article
  7. Cognitive Functions Supporting Learning Over Time in Naming Treatment for Aphasia.Journal of speech, language, and hearing research : JSLHR · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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
  20. Review
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

4 authors.

Natalie GilmoreCollege of Health and Rehabilitation Sciences: Sargent College, Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts. Electronic address: ngilmore@bu.edu.
Erin L MeierCollege of Health and Rehabilitation Sciences: Sargent College, Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts.
Jeffrey P JohnsonCollege of Health and Rehabilitation Sciences: Sargent College, Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts.
Swathi KiranCollege of Health and Rehabilitation Sciences: Sargent College, Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts.

Funding

Neurobiology of Language Recovery in Aphasia: Natural History and Treatment-Ind*P50DC012283 · NIDCD · NORTHWESTERN UNIVERSITY · PI THOMPSON, CYNTHIA K · 2013 to 2017
$11.7M
Advanced Research Training in Communication Sciences and DisordersT32DC013017 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Cara E. Stepp · 2016 to 2026
$4.9M
Theoretically based treatment for sentence comprehension deficits in aphasiaR33DC010461 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KIRAN, SWATHI · 2010 to 2013
$2.3M
Theoretically based treatment for sentence comprehension deficits in aphasiaR21DC010461 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KIRAN, SWATHI · 2009 to 2009
$265k
Application of Multimodal Imaging Techniques to Examine Language Recovery in PostK18DC011517 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KIRAN, SWATHI · 2011 to 2012
$250k
Structural and Effective Connectivity of Reorganized Language Networks in AphasiaF31DC015940 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MEIER, ERIN LYNN · 2017 to 2018
$79k
Changes in Neural Patterns in Persons with Aphasia Following Theory-based GeneratF31DC011220 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDBERG, CHALEECE WYATT · 2012 to 2013
$48k
NIDCD NIH HHS F31 DC011220NIDCD NIH HHS F31 DC015940NIDCD NIH HHS K18 DC011517NIDCD NIH HHS P50 DC012283NIDCD NIH HHS R21 DC010461NIDCD NIH HHS R33 DC010461NIDCD NIH HHS T32 DC013017
6 · The paper itself

Abstract

objectiveTo determine if pretreatment nonlinguistic cognition predicted language treatment outcomes and if so, which specific nonlinguistic cognitive subskills predicted naming therapy outcomes.

designRetrospective.

settingResearch clinic.

participantsStudy 1 included data from 67 persons with aphasia who underwent language treatment and a pretreatment cognitive-linguistic assessment battery (N=67). Study 2 included data from 27 study 1 participants who completed additional pretreatment nonlinguistic cognitive assessments.

interventions120-minute sessions of sentence comprehension (n=26) or naming treatment (n=41) 2 times per week for up to 10-12 weeks.

main outcome measuresProportion of potential maximal gain (PMG) (assessed immediately after treatment [10-12wk]; formula=mean posttreatment score-mean pretreatment score/total number of trained items-mean pretreatment score) and proportion of potential maximal gain maintained (PMGM) (assessed 12wk after posttreatment [22-24wk]; formula=mean maintenance score-mean pretreatment score/total number of trained items-mean pretreatment score) as outcome variables; and pretreatment assessment scores as predictor variables.

resultsIn study 1, 37% of participants demonstrated nonlinguistic cognitive deficits. Principal component analyses reduced assessment data to 2 components: linguistic and nonlinguistic cognition. Backward elimination regression revealed that higher linguistic and nonlinguistic cognitive function significantly predicted higher PMG after language therapy. In study 2, principal component analysis of only the nonlinguistic cognitive measures identified 3 components: executive function, verbal short-term memory, and visual short-term memory. Controlling for pretreatment apraxia of speech and auditory comprehension deficits, regression analyses revealed that higher executive function and visual short-term memory significantly predicted higher PMG and PMGM after naming therapy.

conclusionsPretreatment nonlinguistic cognitive function significantly influenced language treatment outcomes and maintenance of therapy gains.

Indexed as

AphasiaChronic DiseaseCognition DisordersExecutive FunctionFemaleHumansMaleMemory, Short-TermMiddle AgedPrincipal Component AnalysisRecovery of FunctionRetrospective StudiesStroke RehabilitationAphasiaCognitionRehabilitationSpeech therapy

Identifiers

PMID30639272
PMCPMC6599561

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Registered trials

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.