Two 6-year follow-up studies of large and massive rotator cuff tears: Comparison of outcome measures

122Citations
Citations of this article
88Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The purposes of this report are (1) to describe the development of a quality-of-life outcome measure for rotator cuff disease (RC-QOL) and a new simple test of rotator cuff function, the Functional Shoulder Elevation Test (FSET), and (2) to compare these with the SF-36 and the American Shoulder and Elbow Surgeons Assessment (ASESA) in a cohort of 86 patients with surgically treated large and massive rotator cuff tears. The RC-QOL is a 34-item self-administered questionnaire that has demonstrated excellent reliability, face validity, and ability to discriminate between large and massive cuff tears; it has also confirmed the construct of higher correlations with the other shoulder outcome measures than with the SF-36. The FSET is a simple test of rotator cuff function that uses 5% body weight and measurement of pain and discomfort on a 100-point visual analog scale. It was highly correlated with the RC-QOL and ASESA and discriminated between large and massive cuff tears. The study achieved an 82% follow-up at an average of 3.5 years. Large cuff tears had statistically significantly improved outcome scores in comparison with massive cuff tears on these 3 outcome measures. The SF-36, however, was not able to discriminate between tear sizes. The RC-QOL and the FSET are recommended outcome measures for rotator cuff disease. (J Shoulder Elbow Surg 2000;9:373-81.).

Cite

CITATION STYLE

APA

Hollinshead, R. M., Mohtadi, N. G. H., Vande Guchte, R. A., & Wadey, V. M. R. (2000). Two 6-year follow-up studies of large and massive rotator cuff tears: Comparison of outcome measures. Journal of Shoulder and Elbow Surgery, 9(5), 373–379. https://doi.org/10.1067/mse.2000.108389

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free