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

A survey of the ability of surgeons to predict who will benefit from surgery for meniscal tears

Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
May 2020

A survey of the ability of surgeons to predict who will benefit from surgery for meniscal tears

Vol: 9| Issue: 5| Number:17| ISSN#: 2564-2537
Study Type:Prognosis
OE Level Evidence:5
Journal Level of Evidence:5

Can even experienced orthopaedic surgeons predict who will benefit from surgery when patients present with degenerative meniscal tears? A survey of 194 orthopaedic surgeons who made 3880 predictions.

Br J Sports Med. 2020 May;54(9):556-557.

Contributing Authors:
. ESCAPE Research Group VA van de Graaf CH Bloembergen NW Willigenburg JCA Noorduyn DB Saris IA Harris RW Poolman

Did you know you're eligible to earn 0.5 CME credits for reading this report? Click Here

Synopsis

One hundred and ninety-four orthopaedic surgeons and residents from the Netherlands and Australia were included in this survey investigating their ability to determine whether patients with non-obstructive degenerative meniscal tears were good candidates for an arthroscopic partial meniscectomy or non-surgical treatment with exercise therapy. The primary outcome of interest was the rate of correct...

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