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      Autonomous System for Tumor Resection (ASTR) - Dual-Arm Robotic Midline Partial Glossectomy

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Burnout and medical errors among American surgeons.

            To evaluate the relationship between burnout and perceived major medical errors among American surgeons. Despite efforts to improve patient safety, medical errors by physicians remain a common cause of morbidity and mortality. Members of the American College of Surgeons were sent an anonymous, cross-sectional survey in June 2008. The survey included self-assessment of major medical errors, a validated depression screening tool, and standardized assessments of burnout and quality of life (QOL). Of 7905 participating surgeons, 700 (8.9%) reported concern they had made a major medical error in the last 3 months. Over 70% of surgeons attributed the error to individual rather than system level factors. Reporting an error during the last 3 months had a large, statistically significant adverse relationship with mental QOL, all 3 domains of burnout (emotional exhaustion, depersonalization, and personal accomplishment) and symptoms of depression. Each one point increase in depersonalization (scale range, 0-33) was associated with an 11% increase in the likelihood of reporting an error while each one point increase in emotional exhaustion (scale range, 0-54) was associated with a 5% increase. Burnout and depression remained independent predictors of reporting a recent major medical error on multivariate analysis that controlled for other personal and professional factors. The frequency of overnight call, practice setting, method of compensation, and number of hours worked were not associated with errors on multivariate analysis. Major medical errors reported by surgeons are strongly related to a surgeon's degree of burnout and their mental QOL. Studies are needed to determine how to reduce surgeon distress and how to support surgeons when medical errors occur.
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              Burnout and career satisfaction among American surgeons.

              To determine the incidence of burnout among American surgeons and evaluate personal and professional characteristics associated with surgeon burnout. : Burnout is a syndrome of emotional exhaustion and depersonalization that leads to decreased effectiveness at work. A limited amount of information exists about the relationship between specific demographic and practice characteristics with burnout among American surgeons. Members of the American College of Surgeons (ACS) were sent an anonymous, cross-sectional survey in June 2008. The survey evaluated demographic variables, practice characteristics, career satisfaction, burnout, and quality of life (QOL). Burnout and QOL were measured using validated instruments. Of the approximately 24,922 surgeons sampled, 7905 (32%) returned surveys. Responders had been in practice 18 years, worked 60 hours per week, and were on call 2 nights/wk (median values). Overall, 40% of responding surgeons were burned out, 30% screened positive for symptoms of depression, and 28% had a mental QOL score >1/2 standard deviation below the population norm. Factors independently associated with burnout included younger age, having children, area of specialization, number of nights on call per week, hours worked per week, and having compensation determined entirely based on billing. Only 36% of surgeons felt their work schedule left enough time for personal/family life and only 51% would recommend their children pursue a career as a physician/surgeon. Burnout is common among American surgeons and is the single greatest predictor of surgeons' satisfaction with career and specialty choice. Additional research is needed to identify individual, organizational, and societal interventions that preserve and promote the mental health of American surgeons.
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                Author and article information

                Contributors
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                Journal
                IEEE Robotics and Automation Letters
                IEEE Robot. Autom. Lett.
                Institute of Electrical and Electronics Engineers (IEEE)
                2377-3766
                2377-3774
                February 2024
                February 2024
                : 9
                : 2
                : 1166-1173
                Affiliations
                [1 ]Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
                [2 ]Department of Computer Science, University of North Carolina Wilmington, Wilmington, NC, USA
                [3 ]Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
                [4 ]Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD, USA
                [5 ]Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
                Article
                10.1109/LRA.2023.3341773
                a15efbf2-5e16-4569-90d4-906f86602873
                © 2024

                https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-037

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