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: High and low starting points for tibia shaft fracture nailing yield similar outcomes

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
August 2013

OTA: High and low starting points for tibia shaft fracture nailing yield similar outcomes

Vol: 2| Issue: 7| Number:279| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Prospective Randomized Evaluation of Outcomes With Different Tibial Nail Entry Portals

Contributing Authors:
Michael P McClincy Dana J Farrell Peter A Siska Gary S Gruen James J Irrgang Ivan S Tarkin

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

29 patients with closed tibial shaft fractures were randomized to undergo intramedullary nailing with either a high intracapsular starting point or a lower extracapsular starting point. At the end of the 24 month study, it was found that both the high and low intramedullary nailing starting points yielded similar patient function and pain scores.

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