ReviewBehavioral sciences (Basel, Switzerland)2020
Variables and Mechanisms Affecting Response to Language Treatment in Multilingual People with Aphasia.
Review in Behavioral sciences (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Meta-Analysis of Anomia Treatment in Bilingual Aphasia: Within- and Cross-Language Generalization and Predictors of the Treatment Outcomes.Journal of speech, language, and hearing research : JSLHR · 2024Pooled it
- The evolution of word retrieval errors during semantic feature-based therapy in bilingual aphasia.Bilingualism (Cambridge, England) · 2025Article
- Cross-language interaction during sequential anomia treatment in three languages: Evidence from a trilingual person with aphasia.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Translanguaging in conversations for people with aphasia living in Greater Johannesburg, South Africa.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2025Article
- Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence.Stroke · 2025Article
- Treatment of aphasia in linguistically diverse populations: current and future directions.Frontiers in psychology · 2025Review
- Multilevel factors predict treatment response following semantic feature-based intervention in bilingual aphasia.Bilingualism (Cambridge, England) · 2024Article
- Effects of Cerebellar Transcranial Direct Current Stimulation in Bilingual Logopenic Primary Progressive Aphasia.Journal of Alzheimer's disease reports · 2024Article
- Aphasia in Multilingual Patients.Current neurology and neuroscience reports · 2021Review
- Predicting language treatment response in bilingual aphasia using neural network-based patient models.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite substantial literature exploring language treatment effects in multilingual people with aphasia (PWA), inconsistent results reported across studies make it difficult to draw firm conclusions.
methodsWe highlight and illustrate variables that have been implicated in affecting cross-language treatment effects in multilingual PWA. MAIN CONTRIBUTION: We argue that opposing effects of activation and inhibition across languages, influenced by pertinent variables, such as age of language acquisition, patterns of language use, and treatment-related factors, contribute to the complex picture that has emerged from current studies of treatment in multilingual PWA. We propose a new integrated model-Treatment Effects in Aphasia in Multilingual people (the TEAM model)-to capture this complexity.
Indexed as
Identifiers
What OpenQuestion holds
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.