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

SICOT 2023: Classification & Comparative Evaluation of Treatment Methods for Cartilage Defects

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
November 2023

SICOT 2023: Classification & Comparative Evaluation of Treatment Methods for Cartilage Defects

Vol: 305| Issue: 2| Number:43| ISSN#: 2564-2537
Study Type:Network Meta-Analysis
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Classification and comparative evaluation of treatment methods employed in the management of cartilage defects PRISMA-compliant network meta-analysis of randomized controlled trials

Contributing Authors:
S Muthu

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

54 randomized controlled trials (3,193 patients) were included in this network meta-analysis. In this meta-analysis, the authors classified cartilage regeneration and restoration procedures for cartilage defects. The main comparator was microfracturing (MFX-I). The other management techniques included osteochondral autograft transfer system (OATS-I & OATS-II), MFX-II, MFX-III, and autologous chond...

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