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

AAOS2017: Despite early tibia bedding-in, similar stability with cementless v cemented UKA

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

AAOS2017: Despite early tibia bedding-in, similar stability with cementless v cemented UKA

Vol: 6| Issue: 4| Number:32| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Cementless Fixation of Mobile Bearing Unicompartmental Knee Replacement has Reliable Component Stability at Five Years

Contributing Authors:
S Campi B Kendrick BL Kaptein ER Valstar W Jackson C Dodd AJ Price DW Murray

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

48 patients scheduled for unicompartmental knee arthroplasty were randomized to either cementless or cemented fixation. Patients were assessed for component migration over 5-year follow-up using radiostereometric analysis. Results at 1-year demonstrated significantly higher subsidence of the tibial component in the cementless group compared to the cemented group. Thereafter, no significant differe...

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