Annals of surgery
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To characterize the learning environment (ie, workload, program efficiency, social support, organizational culture, meaning in work, and mistreatment) and evaluate associations with burnout in general surgery residents. ⋯ Resident burnout is independently associated with multiple aspects of the learning environment, including workload, social support, meaning in work, and mistreatment. Efforts to help programs identify and address weaknesses in a targeted fashion may improve trainee burnout.
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To determine the impact of prehabilitation on hospital length of stay, functional capacity, complications, and mortality after surgery in patients with hepatobiliary, colorectal, and upper gastrointestinal cancer. ⋯ Prehabilitation was associated with reduced hospital length of stay but had no effect on functional capacity, postoperative complications, or mortality rates. Thus, prehabilitation should be recommended to accelerate recovery from cancer surgery, demonstrated by reduced hospital length of stay.
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Multicenter Study
Mapping of Lymph Node Metastasis From Esophagogastric Junction Tumors: A Prospective Nationwide Multicenter Study.
The aim of the study was to determine the optimal extent of lymph node dissection for the 2 histological types of esophagogastric junction (EGJ) tumors based on the incidence of metastasis in a prospective nationwide multicenter study. ⋯ The study accurately identified the distribution of lymph node metastases from EGJ tumors and the optimal extent of subsequent lymph node dissection.
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Histologic subtypes of appendiceal cancer vary in their propensity for metastases to regional lymph nodes (LN). A predictive model would help direct subsequent surgical therapy. ⋯ The risk for nodal metastases in patients with appendiceal cancers can be quantified with reasonable accuracy using a predictive model incorporating patient age, sex, tumor histology, T-stage, and grade. This can help inform clinical decision making regarding the need for a right hemicolectomy following appendectomy.
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The aim of this study was to develop a computer vision platform to automatically locate critical events in surgical videos and provide short video clips documenting the critical view of safety (CVS) in laparoscopic cholecystectomy (LC). ⋯ Deep learning models for workflow analysis can be used to reliably locate critical events in surgical videos and document CVS in LC. Further studies are needed to assess the clinical impact of surgical data science solutions for safer laparoscopic cholecystectomy.