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

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

Abstract 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...

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Dettagli Bibliografici
Autori principali: Danielle A. van der Windt, Danielle L. 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 Bennell, Edward Roddy, Carl Heneghan, David Beard, Jonathan L. Rees, Richard D. Riley
Natura: Articolo
Lingua:English
Pubblicazione: BMC 2019-08-01
Serie:Diagnostic and Prognostic Research
Soggetti:
Shoulder conditions
Pain
Disability
Individual participant data meta-analysis
Predictors of treatment effect
Accesso online:http://link.springer.com/article/10.1186/s41512-019-0061-x

Accesso online

http://link.springer.com/article/10.1186/s41512-019-0061-x

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