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

AAOS 2016: Removable long-arm soft cast in non-displaced pediatric elbow fracture

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
March 2016

AAOS 2016: Removable long-arm soft cast in non-displaced pediatric elbow fracture

Vol: 5| Issue: 3| Number:35| ISSN#: 2564-2537
Study Type:Therapy
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Use of Removable Long-Arm Soft Cast to Treat Non-Displaced Pediatric Elbow Fractures: A Randomized Controlled Trial

Contributing Authors:
M Silva GS Sadlik T Avoian E Ebramzadeh

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

100 children between the ages of 2-10 years, with a closed, non-displaced, type 1 supracondylar humeral fracture or a closed, acute elbow injury with a positive posterior fat pad sign were randomly assigned a standard long-arm hard, fiberglass cast or a soft, removable long-arm fiberglass cast. The purpose of this study was to compare the use of the soft removable cast to the traditional hard cast...

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