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: LIPUS does not expedite bone healing in acute tibial shaft fractures

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

AAOS 2016: LIPUS does not expedite bone healing in acute tibial shaft fractures

Vol: 5| Issue: 3| Number:63| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Low Intensity Pulsed Ultrasound in Acute Tibial Shaft Fractures Treated with IM Nails: The Results of the TRUST Trial

Contributing Authors:
P Tornetta J Busse M Bhandari TA Einhorn EH Schemitsch JD Heckman KS Leung D Heels-Ansdell S Makosso-Kallyth

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

501 patients with tibial shaft fractures who underwent fracture fixation with an intramedullary nail were included in this trial. Patients were randomized to receive low-intensity pulsed ultrasound (LIPUS) or sham treatment to evaluate the effect of LIPUS on time to union and functional outcomes. The results of this trial over a one year period indicated that there were no differences between LIPU...

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