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: Thrombin-based hemostatic reduces blood loss, but not haemoglobin loss, in TKA

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

AAOS: Thrombin-based hemostatic reduces blood loss, but not haemoglobin loss, in TKA

Vol: 3| Issue: 3| Number:81| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Prospective, Randomized Trial to Evaluate Effectiveness of a Thrombin-Based Hemostatic in Total Knee Arthroplasty

Contributing Authors:
AM Alvarez JC Suarez PD Patel C Szubski N Figueroa EE Ely

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

108 patients undergoing primary unilateral total knee arthroplasty (TKA) were randomized to receive either a thrombin-based topical hemostatic matrix sealant with electrocautery or electrocautery alone. The purpose of this study was to determine whether this hemostatic agent is effective for reducing blood loss and transfusion rates. Results indicated that the use of the hemostatic agent was assoc...

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

The OE High Impact metric uses AI to determine the impact a study will have by considering the content of the article itself. Built using the latest advances of natural language processing techniques. OE High Impact predicts an article’s future number of citations than impact factor alone.

Continue