Background: Hand surgery is a unique subspecialty in which one can train after completion of either a plastic, orthopedic, or general surgical residency. This study compared hand surgery experience in residency among these different training pathways.
Methods: The Accreditation Council for Graduate Medical Education case logs of graduating residents in general surgery, orthopedics, and plastic surgery were evaluated for years 2009 through 2018. Cases were grouped according to the Accreditation Council for Graduate Medical Education-defined categories for hand surgery. Comparisons between specialties were made using a one-tail analysis of variance with a 95 percent confidence interval.
Results: There were 19,159 total residents studied: 11,189 general surgery, 7290 orthopedic, and 1040 plastic surgery. General surgery performed the fewest total hand surgeries per individual resident, while plastic surgery performed the most. Plastic surgery performed more operations than orthopedics in all categories studied including tendon, nerve, amputation, soft tissue, fracture, vascular cases, with p < 0.01 for each category.
Conclusions: There are significant differences in the preparation of resident trainees for entry into a hand surgery fellowship, and the lack of uniform exposure to hand surgery represents an opportunity for improvement. Fellowship directors and the tripartite specialty board should embrace the differences among general surgery, orthopedic, and plastic surgery graduates early in the fellowship year and address the expected differences. Trainees' education should be optimized on an individualized basis with targeted education, additional educational courses, and encouraging trainees to seek out clinical challenges to foster their continued professional growth.
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http://dx.doi.org/10.1097/PRS.0000000000007722 | DOI Listing |
Aesthetic Plast Surg
January 2025
Department of Hand and Foot Surgery, Beilun Branch of the First Affiliated Hospital, College of Medicine, Zhejiang University, No.1288, Lushan East Road, Ningbo, 315800, Zhejiang, China.
Aesthetic Plast Surg
January 2025
Department of Plastic Surgery, University Hospital Muenster, Muenster, Germany.
Br J Ophthalmol
January 2025
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
Background/aims: Large language models (LLMs) have substantial potential to enhance the efficiency of academic research. The accuracy and performance of LLMs in a systematic review, a core part of evidence building, has yet to be studied in detail.
Methods: We introduced two LLM-based approaches of systematic review: an LLM-enabled fully automated approach (LLM-FA) utilising three different GPT-4 plugins (Consensus GPT, Scholar GPT and GPT web browsing modes) and an LLM-facilitated semi-automated approach (LLM-SA) using GPT4's Application Programming Interface (API).
Physiol Rev
January 2025
Pittsburgh Heart, Lung, Blood and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, 15261.
The redox signaling network in mammals has garnered enormous interest and taken on major biological significance in recent years as the scope of NADPH oxidases (NOXs) as regulators of physiological signaling and cellular degeneration has grown exponentially. All NOX subtypes have in common the capacity to generate reactive oxygen species (ROS) superoxide anion (O) and/or hydrogen peroxide (HO). A baseline, normal level of ROS formation supports a wide range of processes under physiological conditions.
View Article and Find Full Text PDFJ Reconstr Microsurg
January 2025
Division of Plastic and Reconstructive Surgery, University of Wisconsin, Madison, Wisconsin.
Background: High levels of precision, as well as controlled, efficient motions, are important components of microsurgical technique and success. An accurate and objective means of skill assessment is lacking in resident microsurgical education. Here we employ three-dimensional, real-time motion-tracking technology to analyze hand and instrument motion during microsurgical anastomoses.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!