The oncologist
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Burnout and career satisfaction has been extensively studied among U.S. and European oncologists, although little is known about the situation among Chinese oncologists. Therefore, we conducted this national survey to investigate the prevalence of burnout and career satisfaction among Chinese oncologists. ⋯ Burnout and career satisfaction has been extensively studied among physicians and oncologists in the U.S. and Europe, but little is known about the situation among Chinese oncologists. This study is the first large-scale national study of Chinese oncologists using standardized instruments to evaluate burnout and career satisfaction. The experience of burnout has been linked to a long list of negative implications. However, this issue has not aroused enough concern in China until now. This study may have a vital significance for the ongoing Chinese health care reform aiming to improve the Chinese health care system.
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Therapies for advanced non-small cell lung cancer (NSCLC) continue to become more sophisticated. Chemotherapeutics are giving way to newer approaches such as immune checkpoint inhibitors and targeted therapies for greater efficacy and improved outcomes. Dabrafenib plus trametinib combination therapy was first approved for the treatment of metastatic melanoma harboring the BRAF V600-mutation in 2014. ⋯ Although the combination has a manageable safety profile, many toxicities associated with the regimen may not be familiar to thoracic specialists or general oncologists. Extensive clinical experience with the combination in patients with metastatic melanoma has provided a wealth of strategies to identify and manage adverse events associated with dabrafenib plus trametinib. These can be used by medical oncologists to enhance early recognition of toxicities and facilitate effective management, thereby improving quality of treatment for patients.
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Multicenter Study Observational Study
From Diagnostic-Therapeutic Pathways to Real-World Data: A Multicenter Prospective Study on Upfront Treatment for EGFR-Positive Non-Small Cell Lung Cancer (MOST Study).
Gefitinib, erlotinib, and afatinib represent the approved first-line options for epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). Because pivotal trials frequently lack external validity, real-world data may help to depict the diagnostic-therapeutic pathway and treatment outcome in clinical practice. ⋯ The MOST study is a real-world data collection reporting a multicenter adherence and compliance to diagnostic-therapeutic pathways defined for patients with epidermal growth factor receptor-mutant non-small cell lung cancer. This represents an essential element of evidence-based medicine, providing information on patients and situations that may be challenging to assess using only data from randomized controlled trials, e.g., turn-around time of diagnostic tests, treatment compliance and persistence, guideline adherence, challenging-to-treat populations, drug safety, comparative effectiveness, and cost effectiveness. This study may be of interest to various stakeholders (patients, clinicians, and payers), providing a meaningful picture of the value of a given therapy in routine clinical practice.
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Ensuring older patients with advanced cancer and their oncologists have similar beliefs about curability is important. We investigated discordance in beliefs about curability in patient-oncologist and caregiver-oncologist dyads. ⋯ Ensuring older patients with advanced cancer and their caregivers have similar beliefs about curability as the oncologist is important. This study investigated discordance in beliefs about curability in patient-oncologist (PO) and caregiver-oncologist (CO) dyads. It found that discordance was present in 60% (15% severe) of PO dyads and 52% (16% severe) of CO dyads, raising serious questions about the process by which patients consent to treatment. This study supports the need for interventions targeted at the oncologist, patient, caregiver, and societal levels to improve the delivery of prognostic information and patients'/caregivers' understanding and acceptance of prognosis.
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Rapid advances in science challenge the timely adoption of evidence-based care in community settings. To bridge the gap between what is possible and what is practiced, we researched approaches to developing an artificial intelligence (AI) application that can provide real-time patient-specific decision support. ⋯ Artificial intelligence (AI)-powered digital advisors such as the Oncology Expert Advisor have the potential to augment the capacity and update the knowledge base of practicing oncologists. By constructing dynamic patient profiles from disparate data sources and organizing and vetting vast literature for relevance to a specific patient, such AI applications could empower oncologists to consider all therapy options based on the latest scientific evidence for their patients, and help them spend less time on information "hunting and gathering" and more time with the patients. However, realization of this will require not only AI technology maturation but also active participation and leadership by clincial experts.