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Reply to the Letter to the Editor: Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use after ACL Reconstruction?

Authors :
Anderson, Ashley B.
Balazs, George C.
Grazal, Clare F.
Potter, Benjamin K.
Dickens, Jonathon F.
Forsberg, Jonathan A.
Source :
Clinical Orthopaedics & Related Research®. Mar2021, Vol. 479 Issue 3, p636-638. 3p.
Publication Year :
2021

Abstract

Volume 479, Number 3 Reply to the Letter to the Editor 637 Letter to the Editor Copyright © 2020 by the Association of Bone and Joint Surgeons. Downloaded from http://journals.lww.com/clinorthop by BhDMf5ePHKbH4TTImqenVA+lpWIIBvonhQl60EtgtdlLYrLzSPu+hQedJnbNaXBf on 04/05/2021 Downloaded from http://journals.lww.com/clinorthop by BhDMf5ePHKbH4TTImqenVA+lpWIIBvonhQl60EtgtdlLYrLzSPu+hQedJnbNaXBf on 04/05/2021 Clin Orthop Relat Res (2021) 479:636-638 DOI 10.1097/CORR.0000000000001632 Letter to the Editor Published online: 4 January 2021 Copyright © 2020 by the Association of Bone and Joint Surgeons Reply to the Letter to the Editor: Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use after ACL Reconstruction?. [Extracted from the article]

Details

Language :
English
ISSN :
0009921X
Volume :
479
Issue :
3
Database :
Academic Search Index
Journal :
Clinical Orthopaedics & Related Research®
Publication Type :
Academic Journal
Accession number :
149654773
Full Text :
https://doi.org/10.1097/CORR.0000000000001632