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The Journal of Hand Surgery
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    • Cover Image - Journal of Hand Surgery, Volume 48, Issue 5
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        The Association Between Depression and Antidepressant Use and Outcomes After Operative Treatment of Distal Radius Fractures at 1 Year

          McQuillan et al.
      • Editor's Choice

        A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma

          Bulstra et al.
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        Fracture Fixation Strength in Metacarpal Plating Versus Intramedullary Nailing Using a 3-Point Bending Model: A Cadaveric, Biomechanical Study

          Beaumont et al.
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        Complications Following Intramedullary Screw Fixation for Metacarpal Fractures: A Systematic Review

          Anene et al.
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        Fracture Fixation Strength in Metacarpal Plating Versus Intramedullary Nailing Using a 3-Point Bending Model: A Cadaveric, Biomechanical Study

          Beaumont et al.
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  • Editor's Choice

    The Association Between Depression and Antidepressant Use and Outcomes After Operative Treatment of Distal Radius Fractures at 1 Year

    Journal of Hand Surgery
    Vol. 47Issue 12p1166–1171Published online: October 29, 2022
    • Thomas J. McQuillan
    • David N. Bernstein
    • Nelson Merchan
    • Jonathan Franco
    • Charles J. Nessralla
    • Carl M. Harper
    • and others
    Cited in Scopus: 0
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      Depression has been linked to inferior clinical outcomes among upper extremity patients. It often is challenging to distinguish the symptoms of depression, symptoms of injury, and the interaction between these 2 entities after a patient has been injured. We aimed to study the differences in clinical outcomes after surgical fixation of distal radius fractures between patients with and without a documented history and treatment for depression.
    • Editor's Choice

      A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma

      Journal of Hand Surgery
      Vol. 47Issue 8p709–718Published online: June 3, 2022
      • Anne Eva J. Bulstra
      • and the Machine Learning Consortium
      Cited in Scopus: 4
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        To identify predictors of a true scaphoid fracture among patients with radial wrist pain following acute trauma, train 5 machine learning (ML) algorithms in predicting scaphoid fracture probability, and design a decision rule to initiate advanced imaging in high-risk patients.
        A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma
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