An algorithmic approach to shoulder pathology
Hind, Jamie Sidhu, Gur Aziz S Arealis, Georgios Khadabadi, Nikhil A Ashwood, Neil
Hind, Jamie
Sidhu, Gur Aziz S
Arealis, Georgios
Khadabadi, Nikhil A
Ashwood, Neil
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Affiliation
Oxford University Hospitals; University Hospitals of Derby and Burton; East Kent Hospitals University NHS Foundation Trust; Walsall Healthcare NHS Trust; Wolverhampton University
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Publication date
2022-10-14
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Abstract
Introduction: 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.
Citation
Hind 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.
Type
Article