APA
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Popescu, T., Stahl, B., Wiernik, B. M., Haiduk, F., Zemanek, M., Helm, H., … Fitch, W. T. (2022). Melodic Intonation Therapy for aphasia: A multi‐level meta‐analysis of randomized controlled trials and individual participant data. Annals of the New York Academy of Sciences, 1–9. https://doi.org/10.1111/nyas.14848
Chicago/Turabian
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Popescu, Tudor, Benjamin Stahl, Brenton M. Wiernik, Felix Haiduk, Michaela Zemanek, Hannah Helm, Theresa Matzinger, Roland Beisteiner, and W. Tecumseh Fitch. “Melodic Intonation Therapy for Aphasia: A Multi‐Level Meta‐Analysis of Randomized Controlled Trials and Individual Participant Data.” Annals of the New York Academy of Sciences (2022): 1–9.
MLA
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Popescu, Tudor, et al. “Melodic Intonation Therapy for Aphasia: A Multi‐Level Meta‐Analysis of Randomized Controlled Trials and Individual Participant Data.” Annals of the New York Academy of Sciences, 2022, pp. 1–9, doi:10.1111/nyas.14848.
BibTeX Click to copy
@article{tudor2022a,
title = {Melodic Intonation Therapy for aphasia: A multi‐level meta‐analysis of randomized controlled trials and individual participant data},
year = {2022},
journal = {Annals of the New York Academy of Sciences},
pages = {1-9},
doi = {10.1111/nyas.14848},
author = {Popescu, Tudor and Stahl, Benjamin and Wiernik, Brenton M. and Haiduk, Felix and Zemanek, Michaela and Helm, Hannah and Matzinger, Theresa and Beisteiner, Roland and Fitch, W. Tecumseh}
}
Melodic Intonation Therapy (MIT) is a prominent rehabilitation program for individuals with post-stroke aphasia. Our meta-analysis investigated the efficacy of MIT while considering quality of outcomes, experimental design, influence of spontaneous recovery, MIT protocol variant, and level of generalization. Extensive literature search identified 606 studies in major databases and trial registers; of those, 22 studies—overall 129 participants—met all eligibility criteria. Multi-level mixed- and random-effects models served to separately meta-analyze randomized controlled trial (RCT) and non-RCT data. RCT evidence on validated outcomes revealed a small-to-moderate standardized effect in noncommunicative language expression for MIT—with substantial uncertainty. Unvalidated outcomes attenuated MIT's effect size compared to validated tests. MIT's effect size was 5.7 times larger for non-RCT data compared to RCT data (g̅case report = 2.01 vs. g̅RCT = 0.35 for validated Non-Communicative Language Expression measures). Effect size for non-RCT data decreased with number of months post-stroke, suggesting confound through spontaneous recovery. Deviation from the original MIT protocol did not systematically alter benefit from treatment. Progress on validated tests arose mainly from gains in repetition tasks rather than other domains of verbal expression, such as everyday communication ability. Our results confirm the promising role of MIT in improving trained and untrained performance on unvalidated outcomes, alongside validated repetition tasks, and highlight possible limitations in promoting everyday communication ability.
