A Case-Based Approach to Shoulder Pain A Pocket Guide to Pathology, Diagnosis and Management

Shoulder pain is one of the most common reasons for patient visits to orthopedic, physiatrist, primary care and sports medicine offices. Most books that cover this topic review it as a chapter within a larger book on orthopedics as a whole, or they focus on one specific aspect of shoulder pathology,...

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Bibliographic Details
Other Authors: Harounian, Jasmin (Editor), Cooper, Grant (Editor), Herrera, Joseph E. (Editor), Curtis, Scott (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary:Shoulder pain is one of the most common reasons for patient visits to orthopedic, physiatrist, primary care and sports medicine offices. Most books that cover this topic review it as a chapter within a larger book on orthopedics as a whole, or they focus on one specific aspect of shoulder pathology, such as osteoarthritis. This practical text is an evidence-based, user-friendly review of the literature for the breadth of shoulder pathologies that present to the busy practitioner. Opening with a review of the relevant anatomy, subsequent chapters discuss injuries to the rotator cuff, biceps tendonitis, labral tears, adhesive capsulitis, and osteoarthritis. Additional chapters cover shoulder pain in the pediatric patient, sports trauma and fractures, and medical causes of shoulder pain. And while reviewing pathology and its diagnosis and treatment is important, proceeding through real case studies is extremely valuable in bringing the diagnosis and treatment of shoulder pathologies to life, hence an engaging section of clinical case material rounds out the presentation. Taken together, A Case-Based Approach to Shoulder Pain will be an ideal resource for musculoskeletal medicine practitioners of all types
Physical Description:XI, 161 p. 36 illus., 18 illus. in color online resource
ISBN:9783031173059