Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis

Daniëlle van der Windt, Danielle Burke, Opeyemi Babatunde, Miriam Hattle, Cliona McRobert, Chris Littlewood, Gwenllian Wynne‐Jones, Linda Chesterton, Geert J. M. G. van der Heijden, Jan C. Winters, Daniel I. Rhon, Kim L. Bennell, Edward Roddy, Carl Heneghan, David Beard, Jonathan Rees, Richard D Riley

Diagnostic and Prognostic Research · 2019

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Summary

BACKGROUND: Shoulder pain is one of the most common presentations of musculoskeletal pain with a 1-month population prevalence of between 7 and 26%. The overall prognosis of shoulder pain is highly variable with 40% of patients reporting persistent pain 1 year after consulting their primary care clinician. Despite evidence for prognostic value of a range of patient and disease characteristics, it is not clear whether these factors also predict (moderate) the effect of specific treatments (such as corticosteroid injection, exercise, or surgery). OBJECTIVES: This study aims to identify predictors of treatment effect (i.e. treatment moderators or effect modifiers) by investigating the association between a number of pre-defined individual-level factors and the effects of commonly used treatme

Subject
Other / interdisciplinary
Source type
Peer-reviewed study
System type
Other
DOI
10.1186/s41512-019-0061-x
Catalogue ID
BFmommpixp-o42jr8
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