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modern era. We used updated SEER-Medicare population data to derive information on patient and tumor characteristics and treatment, payment, and healthcare use data to control for bias of different healthcare/insurance coverage. We focused our comparisons

increasing costs of care, it is important to understand to what extent variation in the use of high-cost technologies and the number of treatments for palliative RT can be attributed to differences in patient and disease characteristics versus systematic

holidays and are listed in Table 1 . When a holiday fell on a weekend, the following Monday was defined as a weekend day until 11:59 pm. Patient and Hospital Characteristics We collected information on potential patient and hospital

regulatory authorities. 11 Statistical Methods Descriptive statistics were used to summarize trial characteristics for OS and PRS endpoints separately. For a given trial endpoint, we calculated the Z value by dividing the point estimate of the HR on

patients with pancreatic and periampullary cancer. 16 QoL may be influenced by characteristics of the healthcare organization, the patient, and the disease itself. 17 , 18 The exact relationship between patient satisfaction and QoL is unclear. Therefore

-cell therapy. We also aimed to examine associations among patient and clinical characteristics and important EoL outcomes. Data depicting patients’ healthcare utilization and EoL care could allow clinicians to communicate important information about the

levels) 24 , 26 or clinical studies with a small number of patients and a focus on one specific cancer. For both types of studies, the lack of cancer specifics (eg, first primary cancer), timing of DM onset, and/or treatment characteristics limit the

set (FAS), while the sensitivity analysis was performed in the per-protocol set (PPS). Missing value imputations were not used. Descriptive statistics were generated by treatment group for baseline and treatment characteristics using the chi

characteristics, we first calculated descriptive statistics. Following the intent-to-treat principle, we used the Fisher exact test and logistic and linear regression modeling to examine group differences in rates of documentation of EoL care discussions and time

characteristics. Dichotomous variables were compared using a Pearson chi-square test or Fisher exact test when appropriate. Continuous variables with nonparametric distributions were expressed as medians with corresponding interquartile ranges, and categorical