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

ISAKOS2017: Evaluating atrophy and fatty degeneration after RC repair vs conservative treatment

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
July 2017

ISAKOS2017: Evaluating atrophy and fatty degeneration after RC repair vs conservative treatment

Vol: 6| Issue: 7| Number:41| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Timing of repair in degenerative cuff tears: how long can we wait?

Contributing Authors:
RL Diercks FO Lambers Heerspink RE Westerbeek J van Raaij I Scheek R Derks

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

41 patients with a full-thickness rotator cuff tear were randomized to either surgical repair or conservative treatment. Patients were assessed at 1 year postoperatively for muscle atrophy and fatty infiltration on MRI. Of the 19 patients allocated to repair, five patients had intact repairs at 1 year, while the remaining 14 had either a retear or failed repair. Irrespectively, change in tear size...

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