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

Ashley B. Anderson; George C. Balazs; Clare F. Grazal; Benjamin K. Potter; Jonathon F. Dickens; Jonathan A. Forsberg

doi:10.1097/CORR.0000000000001632

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

Ashley B. Anderson, George C. Balazs, Clare F. Grazal, Benjamin K. Potter, Jonathon F. Dickens, Jonathan A. Forsberg^*

^*Corresponding author for this work

Research output: Contribution to journal › Letter › peer-review

Original language	English
Pages (from-to)	636-638
Number of pages	3
Journal	Clinical Orthopaedics and Related Research
Volume	479
Issue number	3
DOIs	https://doi.org/10.1097/CORR.0000000000001632
State	Published - Mar 2021
Externally published	Yes

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10.1097/CORR.0000000000001632

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

author = "Anderson, {Ashley B.} and Balazs, {George C.} and Grazal, {Clare F.} and Potter, {Benjamin K.} and Dickens, {Jonathon F.} and Forsberg, {Jonathan A.}",

note = "Funding Information: (RE: Wang Q, Zhu H. Letter to the Editor: Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction? Clin Orthop Relat Res. 2021;479:634-635.The institution of one or more of the authors (GCB) has received, during the study period, funding from the Society of Military Orthopaedic Surgeons (SOMOS) for grant sponsorship of this work. ",

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doi = "10.1097/CORR.0000000000001632",

language = "English",

volume = "479",

pages = "636--638",

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T2 - Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use after ACL Reconstruction?

AU - Anderson, Ashley B.

AU - Balazs, George C.

AU - Grazal, Clare F.

AU - Potter, Benjamin K.

AU - Dickens, Jonathon F.

AU - Forsberg, Jonathan A.

N1 - Funding Information: (RE: Wang Q, Zhu H. Letter to the Editor: Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction? Clin Orthop Relat Res. 2021;479:634-635.The institution of one or more of the authors (GCB) has received, during the study period, funding from the Society of Military Orthopaedic Surgeons (SOMOS) for grant sponsorship of this work.

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U2 - 10.1097/CORR.0000000000001632

DO - 10.1097/CORR.0000000000001632

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VL - 479

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JO - Clinical Orthopaedics and Related Research

JF - Clinical Orthopaedics and Related Research

IS - 3

ER -

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

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