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

Barricaid annular closure device reduces reherniation rate after discectomy for lumbar herniation

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
January 2019

Barricaid annular closure device reduces reherniation rate after discectomy for lumbar herniation

Vol: 8| Issue: 1| Number:11| ISSN#: 2564-2537
Study Type:Therapy
OE Level Evidence:2
Journal Level of Evidence:N/A

Annular closure in lumbar microdiscectomy for prevention of reherniation: a randomized clinical trial

Spine J. 2018 Dec;18(12):2278-2287. doi: 10.1016/j.spinee.2018.05.003

Contributing Authors:
C Thome M Arts E Van de Kelft J Wolfs GJ Bouma PD Klassen F Martens J Fandino A Kursumovic M Barth W van den Brink R Bostelmann A Hegewald V Heidecke P Vajkoczy S Frohlich R Assaker HP Kohler S Jadik S Eustacchio R Hes

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

Synopsis

554 patients with a lumbar disc herniation, large annular defect, and scheduled for lumbar discectomy were randomized to the surgery with or without additional intervention using an annular closure device (Barricaid; Intrinsic Therapeutics). Patients were followed primary for the incidence of re-herniation and composite endpoints of success over the first 2 years after surgery. Results demonstrate...

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