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

COA 2020: Similar Knee Kinematics in TKA with Anatomical vs Traditional Implant Designs

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
July 2020

COA 2020: Similar Knee Kinematics in TKA with Anatomical vs Traditional Implant Designs

Vol: 9| Issue: 7| Number:7| ISSN#: 2564-2537
Study Type:Cohort Study
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Contact Kinematics of Total Knee Arthroplasty: Anatomical vs. Traditional Implant Designs (COA HSP1)

Contributing Authors:
J Broberg D Naudie JL Howard B Lanting EM Vasarhelyi X Yuan RW McCalden M Teeter

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

Forty-three patients were included in this matched, cohort study comparing knee kinematic outcomes in patients undergoing total knee arthroplasty with either an anatomically designed Journey II implant or a traditionally designed Legion implant. Study outcomes at 3 months for the anatomical implant group and 2 years for the traditional implant group were compared. Results revealed that while the a...

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