The oncologist
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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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The aim of this study was to investigate the relationship between delirium and symptom expression in patients with advanced cancer admitted to an acute supportive/palliative care unit (ASPCU). ⋯ Symptom expression is amplified in patients with cancer who have delirium, whereas patients without delirium may be more responsive to palliative treatments with a significant decrease in symptom intensity.
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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.
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Observational Study
Assessment of NETest Clinical Utility in a U.S. Registry-Based Study.
The clinical relevance of molecular biomarkers in oncology management has been recognized in breast and lung cancers. We evaluated a blood-based multigene assay for management of neuroendocrine tumors (NETs) in a real-world study (U.S. registry NCT02270567). Diagnostic accuracy and relationship to clinical disease status in two cohorts (treated and watch-and-wait) were evaluated. ⋯ A circulating multigene molecular biomarker to guide neuroendocrine tumor (NET) management has been developed because current biomarkers have limited clinical utility. NETest is diagnostic (96%) and in real time defines the disease status (>95%) as stable or progressive. It is >90% effective in guiding treatment decisions in conjunction with diagnostic imaging. Monitoring was effective in watch-and-wait or treatment groups. Low levels supported no management change and reduced the need for imaging. High levels indicated the need for management intervention. Real-time liquid biopsy assessment of NETs has clinical utility and can contribute additional value to patient management strategies and outcomes.