Authors
Marian C. Brady
Myzoon Ali
Kathryn VandenBerg
Linda J. Williams
Louise R. Williams
Masahiro Abo
Frank Becker
Audrey Bowen
Caitlin Brandenburg
Caterina Breitenstein
Stefanie Bruehl
David A. Copland
Tamara B. Cranfill
Marie di Pietro-Bachmann
Pamela Enderby
Joanne Fillingham
Federica Lucia Galli
Marialuisa Gandolfi
Bertrand Glize
Erin Godecke, Edith Cowan UniversityFollow
Neil Hawkins
Katerina Hilari
Jacqueline Hinckley
Simon Horton
David Howard
Petra Jaecks
Elizabeth Jefferies
Luis M. T. Jesus
Maria Kambanaros
Eun Kyoung Kang
Eman M. Khedr
Anthony Pak-Hin Kong
Tarja Kukkonen
Marina Laganaro
Matthew A. Lambon Ralph
Ann Charlotte Laska
Béatrice Leemann
Alexander P. Leff
Roxele R. Lima
Antje Lorenz
Brian MacWhinney
Rebecca Shisler Marshall
Flavia Mattioli
Ilknur Mavis
Marcus Meinzer
Reza Nilipour
Enrique Noé
Nam-Jong Paik
Rebecca Palmer
Ilias Papathanasiou
Brigida F. Patricio
Isabel Pavão Martins
Cathy Price
Tatjana Prizl Jakovac
Elizabeth Rochon
Miranda L. Rose
Charlotte Rosso
Ilona Rubi-Fessen
Marina B. Ruiter
Claerwen Snell
Benjamin Stahl
Jerzy P. Szaflarski
Shirley A. Thomas
Mieke van de Sandt-Koenderman
Ineke van der Meulen
Evy Visch-Brink
Linda Worrall
Heather Harris Wright
Document Type
Journal Article
Publication Title
Aphasiology
Publisher
Routledge
School
School of Medical and Health Sciences
RAS ID
34004
Abstract
Background: Speech and language therapy (SLT) benefits people with aphasia following stroke. Group level summary statistics from randomised controlled trials hinder exploration of highly complex SLT interventions and a clinically relevant heterogeneous population. Creating a database of individual participant data (IPD) for people with aphasia aims to allow exploration of individual and therapy-related predictors of recovery and prognosis. Aim: To explore the contribution that individual participant characteristics (including stroke and aphasia profiles) and SLT intervention components make to language recovery following stroke. Methods and procedures: We will identify eligible IPD datasets (including randomised controlled trials, non-randomised comparison studies, observational studies and registries) and invite their contribution to the database. Where possible, we will use meta- and network meta-analysis to explore language performance after stroke and predictors of recovery as it relates to participants who had no SLT, historical SLT or SLT in the primary research study. We will also examine the components of effective SLT interventions. Outcomes and results: Outcomes include changes in measures of functional communication, overall severity of language impairment, auditory comprehension, spoken language (including naming), reading and writing from baseline. Data captured on assessment tools will be collated and transformed to a standardised measure for each of the outcome domains. Conclusion: Our planned systematic-review-based IPD meta- and network meta-analysis is a large scale, international, multidisciplinary and methodologically complex endeavour. It will enable hypotheses to be generated and tested to optimise and inform development of interventions for people with aphasia after stroke. Systematic review registration: The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO; registration number: CRD42018110947).
DOI
10.1080/02687038.2019.1643003
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Comments
Brady, M. C., Ali, M., VandenBerg, K., Williams, L. J., Williams, L. R., Abo, M., ... & Bruehl, S. (2020). RELEASE: a protocol for a systematic review based, individual participant data, meta-and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia. Aphasiology, 34(2), 137-157. https://www.tandfonline.com/doi/full/10.1080/02687038.2019.1643003