Show simple item record

dc.contributor.authorHind, Jamie
dc.contributor.authorSidhu, Gur Aziz S
dc.contributor.authorArealis, Georgios
dc.contributor.authorKhadabadi, Nikhil A
dc.contributor.authorAshwood, Neil
dc.date.accessioned2023-09-28T09:52:39Z
dc.date.available2023-09-28T09:52:39Z
dc.date.issued2022-10-14
dc.identifier.citationHind J, Sidhu GAS, Arealis G, Khadabadi NA, Ashwood N. An algorithmic approach to shoulder pathology. J Family Med Prim Care. 2022 Sep;11(9):5510-5515.en_US
dc.identifier.issn2249-4863
dc.identifier.doi10.4103/jfmpc.jfmpc_475_21
dc.identifier.pmid36505665
dc.identifier.urihttp://hdl.handle.net/20.500.14200/2353
dc.description.abstractIntroduction: Shoulder pain is a common presentation in both hospitals and the community. Shoulder pain can result from a number of different pathologies and to manage the shoulder pain, an accurate diagnosis is needed. Method: An accurate diagnosis can often be made following a detailed history and examination. Investigations, such as imaging and blood tests may also be required. In this study, we provide an algorithmic approach to shoulder pain that can be used in the clinical setting. Summary: This algorithm can be used in hospitals and the community to help identify and manage the different causes of shoulder pain.en_US
dc.language.isoenen_US
dc.publisherMedknow Publicationsen_US
dc.subjectOrthopaedicsen_US
dc.titleAn algorithmic approach to shoulder pathologyen_US
dc.typeArticle
dc.source.journaltitleJournal of Family Medicine and Primary Care
rioxxterms.versionNAen_US
dc.contributor.trustauthorKhadabadi, Nikhil A
dc.contributor.departmentTrauma and Orthopaedicsen_US
dc.contributor.roleMedical and Dentalen_US
dc.contributor.affiliationOxford University Hospitals; University Hospitals of Derby and Burton; East Kent Hospitals University NHS Foundation Trust; Walsall Healthcare NHS Trust; Wolverhampton Universityen_US
oa.grant.openaccessnaen_US


This item appears in the following Collection(s)

Show simple item record