Ontology highlight
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).
SUBMITTER: Brady MC
PROVIDER: S-EPMC7614912 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Brady Marian C MC Ali Myzoon M VandenBerg Kathryn K Williams Linda J LJ Williams Louise R LR Abo Masahiro M Becker Frank F Bowen Audrey A Brandenburg Caitlin C Breitenstein Caterina C Bruehl Stefanie S Copland David A DA Cranfill Tamara B TB Pietro-Bachmann Marie di MD Enderby Pamela P Fillingham Joanne J Galli Federica Lucia FL Gandolfi Marialuisa M Glize Bertrand B Godecke Erin E Hawkins Neil N Hilari Katerina K Hinckley Jacqueline J Horton Simon S Howard David D Jaecks Petra P Jefferies Elizabeth E Jesus Luis M T LMT Kambanaros Maria M Kang Eun Kyoung EK Khedr Eman M EM Kong Anthony Pak-Hin AP Kukkonen Tarja T Laganaro Marina M Ralph Matthew A Lambon MAL Laska Ann Charlotte AC Leemann Béatrice B Leff Alexander P AP Lima Roxele R RR Lorenz Antje A MacWhinney Brian B Marshall Rebecca Shisler RS Mattioli Flavia F Maviş Ilknur I Meinzer Marcus M Nilipour Reza R Noé Enrique E Paik Nam-Jong NJ Palmer Rebecca R Papathanasiou Ilias I Patricio Brigida F BF Martins Isabel Pavão IP Price Cathy C Price Cathy C Jakovac Tatjana Prizl TP Rochon Elizabeth E Rose Miranda L ML Rosso Charlotte C Rubi-Fessen Ilona I Ruiter Marina B MB Snell Claerwen C Stahl Benjamin B Szaflarski Jerzy P JP Thomas Shirley A SA van de Sandt-Koenderman Mieke M van der Meulen Ineke I Visch-Brink Evy E Worrall Linda L Wright Heather Harris HH
Aphasiology 20200201 2
<h4>Background</h4>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.<h4>Aim</h4>To explore the contribution that indiv ...[more]