The oncologist
-
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.
-
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.
-
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.
-
Review Case Reports
Diagnosis and Management of Immune Checkpoint Inhibitor-Associated Renal Toxicity: Illustrative Case and Review.
Immune checkpoint inhibitors (ICIs) are monoclonal antibodies directed at negative regulatory components on T cells, such as cytotoxic T lymphocyte-associated antigen 4, programmed cell death-1 (PD-1), and its ligand, programmed cell death ligand-1. ICIs initate antitumor immunity; however, these agents are associated with immune-related adverse events (irAEs) that may affect a variety of organs. Renal irAEs most commonly present with asymptomatic acute kidney injury (AKI), which is often detected by routine laboratory testing. ⋯ Acute kidney injury after ICI therapy does not appear to be more common in patients with baseline estimated glomerular filtration rate <60 mL per min per 1.73 m. One particular concern, however, is that those with baseline renal disease have less "renal reserve," and repeated AKI events may push a patient closer to end-stage renal disease. Thus, clinicians must exert caution when rechallenging patients with pre-existing renal disease with ICI therapy in the event of a prior AKI from ICI-related allergic interstitial nephritis.
-
Randomized Controlled Trial
Retrospective Assessment of a Serum Proteomic Test in a Phase III Study Comparing Erlotinib plus Placebo with Erlotinib plus Tivantinib (MARQUEE) in Previously Treated Patients with Advanced Non-Small Cell Lung Cancer.
The VeriStrat test provides accurate predictions of outcomes in all lines of therapy for patients with non-small cell lung cancer (NSCLC). We investigated the predictive and prognostic role of VeriStrat in patients enrolled on the MARQUEE phase III trial of tivantinib plus erlotinib (T+E) versus placebo plus erlotinib (P+E) in previously treated patients with advanced NSCLC. ⋯ This study suggests that VeriStrat testing could enhance the prognostic role of performance status and smoking status and replicates findings from other trials that showed that the VeriStrat test identifies EGFR mutation-positive patients likely to have a poor response to EGFR tyrosine kinase inhibitors (TKIs). Although these findings should be confirmed in other populations, VeriStrat use could be considered in EGFR mutation-positive patients as an additional prognostic tool, and these results suggest that EGFR mutation-positive patients with VeriStrat "poor" classification could benefit from other therapeutic agents given in conjunction with TKI monotherapy.