Abstract
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. 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. This algorithm can be used in hospitals and the community to help identify and manage the different causes of shoulder pain.
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