Journal of the American College of Surgeons
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Randomized Controlled Trial Multicenter Study Comparative Study
Primary Operation with Systemic Therapy in Patients with de Novo Stage IV Breast Cancer: 10-Year Follow-Up of Protocol MF07-01 Randomized Clinical Trial.
The aim of this randomized clinical trial was to evaluate the overall survival (OS) data of patients diagnosed with de novo stage IV breast cancer (BC) who received locoregional treatment (LRT) over a 10-year follow-up. ⋯ Patients with a diagnosis of de novo stage IV BC who underwent LRT followed by ST had a 14% higher chance of OS by the end of the 10-year follow-up compared with the patients who received only ST. The longer study follow-up revealed that LRT should be presented to patients when discussing treatment options.
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Review Meta Analysis
Impact of the WHO Surgical Safety Checklist Relative to Its Design and Intended Use: A Systematic Review and Meta-Meta-Analysis.
The aim of this study was to identify what parts of the World Health Organization Surgical Safety Checklist (WHO SSC) are working, what can be done to make it more effective, and to determine if it achieved its intended effect relative to its design and intended use. ⋯ The WHO SSC positively impacts the things it was explicitly designed to address and does not positively impact things it was not explicitly designed for.
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Older patients with frailty syndrome have a greater risk of poor postoperative outcomes. In this study, we used a RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework to implement an assessment tool to identify frail patients and targeted interventions to improve their outcomes. ⋯ A frailty assessment was able to identify elderly patients for provision of targeted, evidence-based frailty care. Despite limited uptake of the assessment by providers and completion of care plan components by nursing staff, implementation of the assessment and care interventions was associated with substantial decreases in complications among elderly surgical patients.
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Retained surgical items are a serious human error. Surgical sponges account for 70% of retained surgical items. To prevent retained surgical sponges, it is important to establish a system that can identify errors and avoid the occurrence of adverse events. To date, no computer-aided diagnosis software specialized for detecting retained surgical sponges has been reported. We developed a software program that enables easy and effective computer-aided diagnosis of retained surgical sponges with high sensitivity and specificity using the technique of deep learning, a subfield of artificial intelligence. ⋯ Software with high sensitivity for diagnosis of retained surgical sponges was developed successfully.