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

ISAKOS: Lower laxity and re-rupture rate with patellar tendon compared to hamstring

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
May 2013

ISAKOS: Lower laxity and re-rupture rate with patellar tendon compared to hamstring

Vol: 2| Issue: 4| Number:95| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

A randomized clinical trial comparing patellar tendon, hamstring tendon, and double-bundle ACL reconstructions: Patient-reported and clinical outcomes at a minimal two-year follow-up

Contributing Authors:
N Mohtadi DS Chan RS Humphrey EO Paolucci

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

330 patients with anterior cruciate ligament deficiency were randomized to undergo ACL reconstruction with one of the following three techniques: anatomic patellar tendon, anatomic quadruple-stranded hamstring tendon, or anatomic double-bundle using hamstring tendons. Patients were followed up for a minimum of 2 years, primarily observing disease-specific quality of life. At final follow-up, there...

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