An algorithmic approach to shoulder pathology.

Algorithm diagnosis management shoulder

Journal

Journal of family medicine and primary care
ISSN: 2249-4863
Titre abrégé: J Family Med Prim Care
Pays: India
ID NLM: 101610082

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 11 03 2021
revised: 05 11 2021
accepted: 14 06 2022
entrez: 12 12 2022
pubmed: 13 12 2022
medline: 13 12 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36505665
doi: 10.4103/jfmpc.jfmpc_475_21
pii: JFMPC-11-5510
pmc: PMC9730981
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5510-5515

Informations de copyright

Copyright: © 2022 Journal of Family Medicine and Primary Care.

Déclaration de conflit d'intérêts

There are no conflicts of interest.

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Auteurs

Jamie Hind (J)

Oxford University Hospitals, John Radcliffe, Headington, Oxford, United Kingdom.

Gur Aziz S Sidhu (GAS)

University Hospitals of Derby and Burton, Belvedere Road, Burton-on-Trent, United Kingdom.

Georgios Arealis (G)

East Kent Hospitals University NHS Foundation Trust Headquarters, Kent and Canterbury Hospital, Ethelbert Road, Canterbury, Kent, United Kingdom.

Nikhil A Khadabadi (NA)

Walsall Healthcare NHS Trust, Walsall Manor Hospital, Moat Road, Walsall, United Kingdom.

Neil Ashwood (N)

University Hospitals of Derby and Burton, Belvedere Road, Burton-on-Trent, United Kingdom.
Professor of Trauma and Orthopaedics, Research Institute, Wolverhampton University, Wulfruna St, Wolverhampton, United Kingdom.

Classifications MeSH