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A Nationwide Analysis of Complications and Risks Associated With Types of Liposuction in 69,424 Patients.
[BACKGROUND] Liposuction is the most common plastic surgery procedure performed in the United States. Continued advancements have led to the development of five common approaches to liposuction. [OBJECTIVES] The authors of this study aim t…
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Bacteriology of non-oncologic post-operative breast infections: A retrospective cross-sectional study to guide empiric antibiotic coverage.
[BACKGROUND] Antibiotic prophylaxis for non-oncologic breast surgeries is not well described by procedure type. This study identified the underlying microbiological etiologies and antibiotic sensitivities of culture-positive infections from…
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Complication Profiles of Smooth vs Textured Tissue Expanders in Breast Reconstruction: A Systematic Review and Meta-Analysis.
[BACKGROUND] Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a type of non-Hodgkin lymphoma first linked with breast implants in 2011. The correlation between BIA-ALCL and textured devices has led to increased use of …
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Complications and Risks Associated With the Different Types of Abdominoplasties: An Analysis of 55,956 Patients.
[BACKGROUND] Different types of abdominoplasties have been developed to address individual patient characteristics. However, an analysis of complication rates and risk factors for different types of abdominoplasties has yet to be reported. …
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Publishing a Plastic Surgery Paper: Composition, Submission, and Revision.
This article provides a roadmap for plastic surgeons on how to successfully conceptualize, draft, and publish a paper. By publishing papers, authors will not only add to their professional standings but gain a deeper understanding of their …
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Comparison of Patient Education Materials Generated by Chat Generative Pre-Trained Transformer Versus Experts: An Innovative Way to Increase Readability of Patient Education Materials.
[INTRODUCTION] Improving patient education materials may improve patient outcomes. This study aims to explore the possibility of generating patient education materials with the assistance of a large language model, Chat Generative Pre-Train…