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

OTA 2014: Enrollment difficulty to compare ORIF & arthroplasty for acetabular fracture

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
November 2014

OTA 2014: Enrollment difficulty to compare ORIF & arthroplasty for acetabular fracture

Vol: 3| Issue: 11| Number:9| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

ORIF Versus Arthroplasty of Geriatric Acetabular Fractures: Results of a Randomized Controlled Feasibility Study

Contributing Authors:
T Manson RV O'Toole

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

A randomized study at a single trauma center was conducted to determine if it would be feasible to perform a full-scale randomized controlled trial comparing open reduction and internal fixation (ORIF) with total hip arthroplasty (THA) and concomitant ORIF in patients over 60 with an acetabular fracture. Patients presenting to the trauma center were screened over a 2.5 year time frame. Of 65 patie...

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