Dr Paul Swinton p.swinton@rgu.ac.uk
Associate Professor
Which treatments are most effective for common tendinopathies? A systematic review and network meta-analysis protocol.
Swinton, Paul A.; Shim, Joanna; Pavlova, Anastasia V.; Moss, Rachel A.; MacLean, Colin; Brandie, David; Mitchell, Laura; Greig, Leon; Parkinson, Eva; Morrissey, Dylan; Alexander, Lyndsay; Cooper, Kay
Authors
Dr Joanna Shim j.shim1@rgu.ac.uk
Chancellor's Fellow
Dr Anastasia Pavlova a.pavlova1@rgu.ac.uk
Research Fellow
Rachel A. Moss
Colin MacLean
David Brandie
Laura Mitchell
Mr Leon Greig l.greig5@rgu.ac.uk
Lecturer
Miss Eva Parkinson e.parkinson1@rgu.ac.uk
Research Assistant
Dylan Morrissey
Dr Lyndsay Alexander l.a.alexander@rgu.ac.uk
Associate Professor
Professor Kay Cooper k.cooper@rgu.ac.uk
Associate Dean (Research)
Abstract
This is a preprint for a protocol. The purpose of the study described by the protocol was to compare the effectiveness of different treatment classes across a range of tendinopathies and outcomes, to better establish a treatment hierarchy. Where sufficient data were obtained, the potential for covariates - including patient demographics and condition specifics (e.g. symptom severity) - to explain statistical heterogeneity was explored.
Citation
SWINTON, P.A., SHIM, J., PAVLOVA, A.V., MOSS, R.A., MACLEAN, C., BRANDIE, D., MITCHELL, L., GREIG, L., PARKINSON, E., MORRISSEY, D., ALEXANDER, L. and COOPER, K. 2021. Which treatments are most effective for common tendinopathies? A systematic review and network meta-analysis protocol. SportRxiv [online]. Available from: https://doi.org/10.31236/osf.io/mx5pv
Deposit Date | May 27, 2022 |
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Publicly Available Date | Mar 28, 2024 |
Keywords | Tendinopathy; Treatment classes; Treatment hierarchies |
Public URL | https://rgu-repository.worktribe.com/output/1341388 |
Publisher URL | https://doi.org/10.31236/osf.io/mx5pv |
Related Public URLs | https://rgu-repository.worktribe.com/output/1674577 (Review preprint) https://rgu-repository.worktribe.com/output/2035467 (Journal article published in Health Technology Assessment) |
Additional Information | This is the third version of this preprint. For earlier versions, see the SportRxiv record: https://doi.org/10.31236/osf.io/mx5pv |
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