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 2023: Periarticular Multimodal Analgesia for Tibial Plateau Fractures

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

OTA 2023: Periarticular Multimodal Analgesia for Tibial Plateau Fractures

Vol: 305| Issue: 1| Number:16| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Periarticular Multimodal Analgesia for Postoperative Pain in Tibial Plateau Fractures: A Double Blind Randomized Controlled Study

Contributing Authors:
PJ Kellam LM Marchand G Dekeyser DL Rothberg TF Higgins JM Haller

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

90 patients with tibial plateau fractures were randomized to receive either multimodal analgesia (n=49) or normal saline (n=21) during surgery. Outcomes of interest included pain scores on a Visual Analog Scale (VAS), narcotic usage, and discharge time every 4 hours for 24 hours. Complications were also assessed. Both groups presented with similar pain scores and narcotic usage over the 24 hours.

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