To unlock this feature and to subscribe to our weekly evidence emails, please create a FREE orthoEvidence account.

SIGNUP

Already Have an Account?

Loading...
Visit our Evidence-Based Covid-19 Website and Stay Up to Date with the latest Research.
Ace Report Cover

AAOS 2016: Arthroscopic proximal versus open subpectoral biceps tenodesis

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
March 2016

AAOS 2016: Arthroscopic proximal versus open subpectoral biceps tenodesis

Vol: 5| Issue: 3| Number:106| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Prospective Randomized Study of Arthroscopic Proximal vs. Open Subpectoral Biceps Tenodesis: Is One Better?

Contributing Authors:
R Gobezie Y Shishani J Flocken RM Carr

Did you know you're eligible to earn 0.5 CME credits for reading this report? Click Here

CONFERENCE ACE REPORTS

This ACE Report is a summary of a conference presentation or abstract. The information provided has limited the ability to provide an accurate assessment of the risk of bias or the overall quality. Please interpret the results with caution as trials may be in progress and select results may have been presented.

Synopsis

129 patients scheduled for biceps tenodesis were randomized to either an arthroscopic proximal approach or open subpectoral approach. The purpose of this study was to compared pain, function, and complications between the two groups. Follow-up was performed for an average of 11.3 months postoperatively. Results demonstrated that patients in both study groups significantly improved from baseline me...

CME Image

Did you know that you’re eligible to earn 0.5 CME credits for reading this report!

LEARN MORE

Join the Conversation

Please Login or Join to leave comments.

Learn about our AI Driven
High Impact Search Feature

High Impact Icon

Our AI driven High Impact metric calculates the impact an article will have by considering both the publishing journal and the content of the article itself. Built using the latest advances in natural language processing, OE High Impact predicts an article’s future number of citations better than impact factor alone.

Continue