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During the COVID‐19 pandemic recommendations were made to adapt cancer care. This population‐based study aimed to investigate possible differences between the treatment of patients with metastatic cancer before and during the pandemic by comparing the initial treatments in five COVID‐19 periods (weeks 1–12 2020: pre‐COVID‐19, weeks 12–20 2020: 1st peak, weeks 21–41 2020: recovery, weeks 42–53 2020: 2nd peak, weeks 1–20 2021: prolonged 2nd peak) with reference data from 2017 to 2019. The proportion of patients receiving different treatment modalities (chemotherapy, hormonal therapy, immunotherapy or targeted therapy, radiotherapy primary tumor, resection primary tumor, resection metastases) within 6 weeks of diagnosis and the time between diagnosis and first treatment were compared by period. In total, 74,208 patients were included. Overall, patients were more likely to receive treatments in the COVID‐19 periods than in previous years. This mainly holds for hormone therapy, immunotherapy or targeted therapy and resection of metastases. Lower odds were observed for resection of the primary tumor during the recovery period (OR 0.87; 95% CI 0.77–0.99) and for radiotherapy on the primary tumor during the prolonged 2nd peak (OR 0.84; 95% CI 0.72–0.98). The time from diagnosis to the start of first treatment was shorter, mainly during the 1st peak (average 5 days, p <.001). These findings show that during the first 1.5 years of the COVID‐19 pandemic, there were only minor changes in the initial treatment of metastatic cancer. Remarkably, time from diagnosis to first treatment was shorter. Overall, the results suggest continuity of care for patients with metastatic cancer during the pandemic. [ABSTRACT FROM AUTHOR]

Background: Support for health‐related quality of life (HRQOL) is an essential part of cancer care in the final stages of life, yet empirical guidance regarding HRQOL and symptom trajectories is lacking. Aim: To assess the change in HRQOL and symptom burden in the last year of life in patients with advanced cancer and its association with health care–related factors, cancer‐specific treatment, and comorbidity. Methods: A prospective, multicenter, observational study in patients with advanced cancer (eQuiPe). Three monthly questionnaires included European Organization for Research and Treatment of Cancer Quality of Life‐C30 and reported continuity of care. Multivariable mixed‐effects analysis was used to assess the association between HRQOL and health care–related factors. Results: A total of 762 deceased patients were included with a mean age of 66 (SD, 10) years and 52% were male. The most common primary tumors were lung (29%), colorectal (20%), and breast cancer (13%). Mean overall HRQOL decreased in the last 9 months of life, with the greatest decrease in the last 3 months (β –16.2). Fatigue, pain, appetite loss, dyspnea, constipation, and nausea worsened significantly in the last year of life. Multimorbidity (β –7.5) and a better reported continuity of care (β 0.7) were both significantly associated with the trajectory of HRQOL. Conclusion: Mean overall HRQOL begins to decline 9 months before death, highlighting the need for early identification and (re)assessment of different symptoms as aspects of HRQOL follow different trajectories. Multimorbidity and reported continuity of care may be associated with the trajectory of HRQOL. Longitudinal results from the eQuiPe study show that the mean health‐related quality of life begins to decline 9 months before death in patients with advanced cancer. Higher perceived continuity with care is associated with an attenuated decline in health‐related quality of life. [ABSTRACT FROM AUTHOR]

Fentanyl is a strong opioid that is available for various administration routes, and which is widely used to treat cancer-related pain. Many factors influence the fentanyl pharmacokinetics leading to a wide inter- and intrapatient variability. This systematic review summarizes multiple studied factors that potentially influence fentanyl pharmacokinetics with a focus on implications for cancer patients. The use of CYP3A4 inhibitors and inducers, impaired liver function, and heating of the patch potentially influence fentanyl pharmacokinetics in a clinically relevant way. In elderly patients, current data suggest that we should carefully dose fentanyl due to alterations in absorption and metabolism. The influence of BMI and gender on fentanyl pharmacokinetics is questionable, most probably due to a large heterogeneity in the published studies. Pharmacogenetics, e.g. the CYP3A5*3 gene polymorphism, may influence fentanyl pharmacokinetics as well, although further study is warranted. Several other factors have been studied but did not show significant and clinically relevant effects on fentanyl pharmacokinetics. Unfortunately, most of the published papers that studied factors influencing fentanyl pharmacokinetics describe healthy volunteers instead of cancer patients. Results from the studies in volunteers may not be simply extrapolated to cancer patients because of multiple confounding factors. To handle fentanyl treatment in a population of cancer patients, it is essential that physicians recognize factors that influence fentanyl pharmacokinetics, thereby preventing potential side-effects and increasing its efficacy. [ABSTRACT FROM AUTHOR]