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 2023: Vitamin D3 Supplementation Prior to Total Knee Arthroplasty

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

AAOS 2023: Vitamin D3 Supplementation Prior to Total Knee Arthroplasty

Vol: 303| Issue: 3| Number:16| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Vitamin D3 Supplementation Prior to Total Knee Arthroplasty: A Randomized Controlled Trial

Contributing Authors:
MT Weintraub J Guntin J Yang A DeBenedetti V Karas CJ Della Valle D Nam

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

107 patients undergoing an elective total knee arthroplasty were randomized to receive a single 50,000 IU capsule of Vitamin D3 on the morning of surgery (n=57) or placebo (n=50). The primary outcome of interest was functional component scores on the Knee Society Score (KSS), measured at 3 and 6 weeks post-operation. Secondary outcomes of interest included the timed up and go test and 90-day compl...

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