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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

Authors :
Williams, Louise R.
Ali, Myzoon
VandenBerg, Kathryn
Williams, Linda J.
Abo, Masahiro
Becker, Frank
Bowen, Audrey
Brandenburg, Caitlin
Breitenstein, Caterina
Bruehl, Stefanie
Copland, David A.
Cranfill, Tamara B.
Di Pietro-Bachmann, Marie
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.
Kong, Anthony Pak-Hin
Kukkonen, Tarja
Laganaro, Marina
Ralph, Matthew A. Lambon
Laska, Ann Charlotte
Leemann, Beatrice
Leff, Alexander P.
Lima, Roxele Ribeiro
Lorenz, Antje
MacWhinney, Brian
Marshall, Rebecca Shisler
Mattioli, Flavia
Mavis, Iiknur
Meinzer, Marcus
Nilipour, Reza
Noe, Enrique
Paik, Nam-Jong
Palmer, Rebecca
Papathanasiou, Ilias
Patricio, Brigida F.
Martins, Isabel Pavao
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-Koenderman, Mieke
Van der Meulen, Ineke
Visch-Brink, Evy
Worrall, Linda
Wright, Heather Harris
Brady, Marian C.
Williams, Louise R.
Ali, Myzoon
VandenBerg, Kathryn
Williams, Linda J.
Abo, Masahiro
Becker, Frank
Bowen, Audrey
Brandenburg, Caitlin
Breitenstein, Caterina
Bruehl, Stefanie
Copland, David A.
Cranfill, Tamara B.
Di Pietro-Bachmann, Marie
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.
Kong, Anthony Pak-Hin
Kukkonen, Tarja
Laganaro, Marina
Ralph, Matthew A. Lambon
Laska, Ann Charlotte
Leemann, Beatrice
Leff, Alexander P.
Lima, Roxele Ribeiro
Lorenz, Antje
MacWhinney, Brian
Marshall, Rebecca Shisler
Mattioli, Flavia
Mavis, Iiknur
Meinzer, Marcus
Nilipour, Reza
Noe, Enrique
Paik, Nam-Jong
Palmer, Rebecca
Papathanasiou, Ilias
Patricio, Brigida F.
Martins, Isabel Pavao
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-Koenderman, Mieke
Van der Meulen, Ineke
Visch-Brink, Evy
Worrall, Linda
Wright, Heather Harris
Brady, Marian C.

Abstract

Background: Collation of aphasia research data across settings, countries and study designs using big data principles will support analyses across different language modalities, levels of impairment, and therapy interventions in this heterogeneous population. Big data approaches in aphasia research may support vital analyses, which are unachievable within individual trial datasets. However, we lack insight into the requirements for a systematically created database, the feasibility and challenges and potential utility of the type of data collated. Aim: To report the development, preparation and establishment of an internationally agreed aphasia after stroke research database of individual participant data (IPD) to facilitate planned aphasia research analyses. Methods: Data were collated by systematically identifying existing, eligible studies in any language (>= 10 IPD, data on time since stroke, and language performance) and included sourcing from relevant aphasia research networks. We invited electronic contributions and also extracted IPD from the public domain. Data were assessed for completeness, validity of value-ranges within variables, and described according to pre-defined categories of demographic data, therapy descriptions, and language domain measurements. We cleaned, clarified, imputed and standardised relevant data in collaboration with the original study investigators. We presented participant, language, stroke, and therapy data characteristics of the final database using summary statistics. Results: From 5256 screened records, 698 datasets were potentially eligible for inclusion; 174 datasets (5928 IPD) from 28 countries were included, 47/174 RCT datasets (1778 IPD) and 91/174 (2834 IPD) included a speech and language therapy (SLT) intervention. Participants' median age was 63 years (interquartile range [53, 72]), 3407 (61.4%) were male and median recruitment time was 321 days (IQR 30, 1156) after stroke. IPD were available for aphasia severity or ab

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1312208187
Document Type :
Electronic Resource