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Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: The RELEASE database of aphasia after stroke
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In: Research outputs 2014 to 2021 (2022)
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Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: the RELEASE database of aphasia after stroke
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In: ISSN: 0268-7038 ; EISSN: 1464-5041 ; Aphasiology ; https://hal.archives-ouvertes.fr/hal-03528818 ; Aphasiology, Taylor & Francis (Routledge), 2021, ⟨10.1080/02687038.2021.1897081⟩ (2021)
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IPSyn: Psychometric properties and modifications (Yang et al., 2021) ...
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IPSyn: Psychometric properties and modifications (Yang et al., 2021) ...
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Detecting cognitive decline using speech only: The ADReSSo Challenge ...
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Making Sense of Right Hemisphere Discourse Using RHDBank
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In: Top Lang Disord (2021)
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A Comparison of Manual Versus Automated Quantitative Production Analysis of Connected Speech
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In: J Speech Lang Hear Res (2021)
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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
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In: Research outputs 2014 to 2021 (2020)
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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
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Brady, Marian C.; Ali, Myzoon; VandenBerg, Kathryn; Williams, Linda J.; Williams, Louise R.; Abo, Masahiro; Becker, Frank; Bowen, Audrey; Brandenburg, Caitlin; Breitenstein, Caterina; Bruehl, Stefanie; Copland, David A.; Cranfill, Tamara B.; Pietro-Bachmann, Marie di; Enderby, Pamela; Fillingham, Joanne; Galli, Federica Lucia; Gandolfi, Marialuisa; Glize, Bertrand; Godecke, Erin; Hawkins, Neil; Hilari, Katerina; Hinckley, Jacqueline; Horton, Simon; Howard, David; Jaecks, Petra; Jefferies, Elizabeth; Jesus, Luis M. T.; Kambanaros, Maria; Kang, Eun Kyoung; Khedr, Eman M.; Pak-Hin Kong, Anthony; Kukkonen, Tarja; Laganaro, Marina; Lambon Ralph, Matthew A.; Laska, Ann Charlotte; Leemann, Béatrice; Leff, Alexander P.; Lima, Roxele R.; Lorenz, Antje; MacWhinney, Brian; Marshall, Rebecca Shisler; Mattioli, Flavia; Maviş, İlknur; Meinzer, Marcus; Nilipour, Reza; Noé, Enrique; Paik, Nam-Jong; Palmer, Rebecca; Papathanasiou, Ilias; Patricio, Brigida F.; Pavão Martins, Isabel; Price, Cathy; Jakovac, Tatjana Prizl; Rochon, Elizabeth; Rose, Miranda L.; Rosso, Charlotte; Rubi-Fessen, Ilona; Ruiter, Marina B.; Snell, Claerwen; Stahl, Benjamin; Szaflarski, Jerzy P.; Thomas, Shirley A.; van de Sandt-Koend, Mieke; van der Meulen, Ineke; Visch-Brink, Evy; Worrall, Linda; Harris Wright, Heather. - : Taylor & Francis, 2020
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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)
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URL: http://eprints.gla.ac.uk/203610/1/203610.pdf
http://eprints.gla.ac.uk/203610/
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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
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Use of Computerized Language Analysis to Assess Child Language
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In: Lang Speech Hear Serv Sch (2020)
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Discourse recovery after severe traumatic brain injury: exploring the first year
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In: Brain Inj (2019)
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Discourse recovery after severe traumatic brain injury : exploring the first year
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