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Minimal Clinically Important Difference for PROMIS Physical Function and Pain Interference in Patients Following Surgical Treatment of Distal Radius Fracture
We estimated the minimal clinically important difference (MCID) for the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) and Pain Interference (PI) computer adaptive tests (CATs) following surgical treatment of distal radius fracture (DRF).Evaluation of PROMIS’ Ability to Detect Immediate Postoperative Symptom Improvement Following Carpal Tunnel Release
We sought to determine whether subjective clinical improvement immediately after carpal tunnel release (CTR) was captured by Patient-Reported Outcomes Measurement Information System (PROMIS) Upper Extremity (UE), Physical Function (PF), Pain Interference (PI), and Depression.Risk Factors for Failed Nonsurgical Treatment Resulting in Surgery on Thumb Carpometacarpal Arthritis
The thumb carpometacarpal (CMC) joint is the second most common site of osteoarthritis in the hand, yet reported symptoms and ultimate treatment decisions are not simply a function of radiographic appearance. This study aimed to determine the patient- and/or disease-related factors associated with patients undergoing surgical treatment of thumb CMC arthritis.Impact of Insurance Type on Self-Reported Symptom Severity at the Preoperative Visit for Carpal Tunnel Release
Prior studies evaluated the impact of insurance type on access to hand care. However, there is limited literature quantifying whether patient symptoms are worse at the time of intervention. Our primary null hypothesis was that insurance type would not be associated with Patient-Reported Outcomes Measure Information System (PROMIS) Upper-Extremity (UE), Physical Function (PF), Pain Interference (PI), and Depression scores at the preoperative visit before carpal tunnel release (CTR).Convolutional Neural Network for Second Metacarpal Radiographic Osteoporosis Screening
Osteoporosis and osteopenia are extremely common and can lead to fragility fractures. The purpose of this study was to determine whether a computer learning system could classify whether a hand radiograph demonstrated osteoporosis based on the second metacarpal cortical percentage.
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