Literature DB >> 21822110

Clinical tests for the diagnosis of rotator cuff disease.

Umile Giuseppe Longo1, Alessandra Berton, Philip Michael Ahrens, Nicola Maffulli, Vincenzo Denaro.   

Abstract

Several tests have been described to examine the shoulder. However, there is a lack of consensus on clinical assessment of patients with shoulder pain and suspected rotator cuff pathology. This review reports the diagnostic accuracy of clinical tests for rotator cuff pathology. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 21 clinical tests for rotator cuff pathology are reported from the available literature. Twenty studies investigated supraspinatus pathology, 12 infraspinatus pathology, and 9 subscapularis pathology. Most tests for rotator cuff pathology are inaccurate, and the recent literature shows that there is insufficient evidence to recommend 1 clinical test over another for diagnosis of rotator cuff pathology. Poor diagnostic accuracy of clinical tests for rotator cuff pathology may be related to the close relationships of structures in the shoulder, to a lack of understanding of anatomical basis of the tests, or to their lack of reproducibility.

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Year:  2011        PMID: 21822110     DOI: 10.1097/JSA.0b013e3182250c8b

Source DB:  PubMed          Journal:  Sports Med Arthrosc Rev        ISSN: 1062-8592            Impact factor:   1.985


  20 in total

Review 1.  Instruments to assess patients with rotator cuff pathology: a systematic review of measurement properties.

Authors:  Umile Giuseppe Longo; Daniël Saris; Rudolf W Poolman; Alessandra Berton; Vincenzo Denaro
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-12-20       Impact factor: 4.342

Review 2.  Reliable diagnosis of posterosuperior rotator cuff tears requires a combination of clinical tests.

Authors:  Alexandre Lädermann; Timon Meynard; Patrick J Denard; Mohamed Ibrahim; Mo Saffarini; Philippe Collin
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2020-07-28       Impact factor: 4.342

3.  Deltoid muscle tropism does not influence the outcome of arthroscopic rotator cuff repair.

Authors:  U G Longo; S Petrillo; G Rizzello; V Candela; V Denaro
Journal:  Musculoskelet Surg       Date:  2016-06-14

Review 4.  Physical tests for shoulder impingements and local lesions of bursa, tendon or labrum that may accompany impingement.

Authors:  Nigel C A Hanchard; Mário Lenza; Helen H G Handoll; Yemisi Takwoingi
Journal:  Cochrane Database Syst Rev       Date:  2013-04-30

5.  TESTING INFRASPINATUS AND DELTOID MUSCLES WITH NEW TECHNIQUE TO DECREASE DELTOID ACTIVITY DURING TESTING USING EMG ANALYSIS.

Authors:  Steven W Forbush; William D Bandy; Mark K Garrison; Leslyn C Graves; Rachel Roberts
Journal:  Int J Sports Phys Ther       Date:  2018-08

6.  Scaffolds in tendon tissue engineering.

Authors:  Umile Giuseppe Longo; Alfredo Lamberti; Stefano Petrillo; Nicola Maffulli; Vincenzo Denaro
Journal:  Stem Cells Int       Date:  2011-12-11       Impact factor: 5.443

7.  Management of degenerative rotator cuff tears: a review and treatment strategy.

Authors:  Nicholas D Clement; Yuan X Nie; Julie M McBirnie
Journal:  Sports Med Arthrosc Rehabil Ther Technol       Date:  2012-12-14

Review 8.  Tissue engineering for rotator cuff repair: an evidence-based systematic review.

Authors:  Nicola Maffulli; Umile Giuseppe Longo; Mattia Loppini; Alessandra Berton; Filippo Spiezia; Vincenzo Denaro
Journal:  Stem Cells Int       Date:  2011-11-10       Impact factor: 5.443

Review 9.  Growth factors and anticatabolic substances for prevention and management of intervertebral disc degeneration.

Authors:  Umile Giuseppe Longo; Stefano Petrillo; Edoardo Franceschetti; Nicola Maffulli; Vincenzo Denaro
Journal:  Stem Cells Int       Date:  2011-11-03       Impact factor: 5.443

Review 10.  Tissue engineered strategies for skeletal muscle injury.

Authors:  Umile Giuseppe Longo; Mattia Loppini; Alessandra Berton; Filippo Spiezia; Nicola Maffulli; Vincenzo Denaro
Journal:  Stem Cells Int       Date:  2011-11-10       Impact factor: 5.443

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