Abstract:Background. Many cancer patients receive chemotherapy and radiotherapy their last 30 days [end of life (EOL)]. The benefi t is questionable and side effects are common. The aim of this study was to investigate what characterized the patients who received chemo-and radiotherapy during EOL, knowledge that might be used to improve practice. Methods. Patients dead from cancer in 2005 and 2009 were analyzed. Data were collected from hospital medical records. When performance status (PS) was not stated, PS was estim… Show more
“…In this study, 15% who died within 1 month after inclusion received chemotherapy, relative to 10% and 18% in other studies 30 33. These numbers still indicate a need for discussion and a potential for improvement.…”
Section: Discussioncontrasting
confidence: 58%
“…However, the use of anti-neoplastic therapy in an acute PCU was investigated26 and it was concluded that this was limited to a small percentage of patients and was associated with characteristics such as younger age, female sex and cancer diagnoses, similar to findings in a Norwegian study 30…”
ObjectivesPalliative care (PC) services and patients differ across countries. Data on PC delivery paired with medical and self-reported data are seldom reported. Aims were to describe (1) PC organisation and services in participating centres and (2) characteristics of patients in PC programmes.MethodsThis was an international prospective multicentre study with a single web-based survey on PC organisation, services and academics and patients' self-reported symptoms collected at baseline and monthly thereafter, with concurrent registrations of medical data by healthcare providers. Participants were patients ≥18 enrolled in a PC programme.Results30 centres in 12 countries participated; 24 hospitals, 4 hospices, 1 nursing home, 1 home-care service. 22 centres (73%) had PC in-house teams and inpatient and outpatient services. 20 centres (67%) had integral chemotherapy/radiotherapy services, and most (28/30) had access to general medical or oncology inpatient units. Physicians or nurses were present 24 hours/7 days in 50% and 60% of centres, respectively. 50 centres (50%) had professorships, and 12 centres (40%) had full-time/part-time research staff. Data were available on 1698 patients: 50% females; median age 66 (range 21–97); median Karnofsky score 70 (10–100); 1409 patients (83%) had metastatic/disseminated disease; tiredness and pain in the past 24 hours were most prominent. During follow-up, 1060 patients (62%) died; 450 (44%) <3 months from inclusion and 701 (68%) within 6 months. ANOVA and χ2 tests showed that hospice/nursing home patients were significantly older, had poorer performance status and had shorter survival compared with hospital-patients (p<.0.001).ConclusionsThere is a wide variation in PC services and patients across Europe. Detailed characterisation is the first step in improving PC services and research.Trial registration numberClinicalTrials.gov Identifier: NCT01362816.
“…In this study, 15% who died within 1 month after inclusion received chemotherapy, relative to 10% and 18% in other studies 30 33. These numbers still indicate a need for discussion and a potential for improvement.…”
Section: Discussioncontrasting
confidence: 58%
“…However, the use of anti-neoplastic therapy in an acute PCU was investigated26 and it was concluded that this was limited to a small percentage of patients and was associated with characteristics such as younger age, female sex and cancer diagnoses, similar to findings in a Norwegian study 30…”
ObjectivesPalliative care (PC) services and patients differ across countries. Data on PC delivery paired with medical and self-reported data are seldom reported. Aims were to describe (1) PC organisation and services in participating centres and (2) characteristics of patients in PC programmes.MethodsThis was an international prospective multicentre study with a single web-based survey on PC organisation, services and academics and patients' self-reported symptoms collected at baseline and monthly thereafter, with concurrent registrations of medical data by healthcare providers. Participants were patients ≥18 enrolled in a PC programme.Results30 centres in 12 countries participated; 24 hospitals, 4 hospices, 1 nursing home, 1 home-care service. 22 centres (73%) had PC in-house teams and inpatient and outpatient services. 20 centres (67%) had integral chemotherapy/radiotherapy services, and most (28/30) had access to general medical or oncology inpatient units. Physicians or nurses were present 24 hours/7 days in 50% and 60% of centres, respectively. 50 centres (50%) had professorships, and 12 centres (40%) had full-time/part-time research staff. Data were available on 1698 patients: 50% females; median age 66 (range 21–97); median Karnofsky score 70 (10–100); 1409 patients (83%) had metastatic/disseminated disease; tiredness and pain in the past 24 hours were most prominent. During follow-up, 1060 patients (62%) died; 450 (44%) <3 months from inclusion and 701 (68%) within 6 months. ANOVA and χ2 tests showed that hospice/nursing home patients were significantly older, had poorer performance status and had shorter survival compared with hospital-patients (p<.0.001).ConclusionsThere is a wide variation in PC services and patients across Europe. Detailed characterisation is the first step in improving PC services and research.Trial registration numberClinicalTrials.gov Identifier: NCT01362816.
“…Given that short-course PRT regimens with no or minimal side effects exist, which nevertheless often improve symptoms, clinicians are afraid of withholding a meaningful therapeutic measure. In agreement with our findings [2], Anshushaug et al also reported that ECOG PS 3-4 was strongly associated with PRT during the last month of life [4], but other factors also play a role. Given consistent reports from different countries, should we regard 30DM of 615% as unavoidable and acceptable?…”
“…In this regard, Anshushaug et al (19) also observed that ECOG PS 3/4 was strongly associated with palliative radiotherapy during the last month of life. The impact of performance status as a prognostic factor in patients with brain metastases is well known (20).…”
Abstract.Oncologists commonly overestimate the survival time of patients receiving palliative therapy, which may result in the administration of treatments that are too aggressive for patients near the end of their lives. Previous studies have discussed the negative implications of palliative radiotherapy if administered during the last month of life. Models predicting a limited survival time may improve the ability of the oncologists to tailor the treatment according to the needs of each individual patient. In the present study, prognostic factors for survival time, and the use of palliative radiotherapy during the last month of life, were analyzed in 873 patients. Models predicting the likelihood of administering such therapy were examined, and the risk of receiving radiotherapy during the last month of life was observed to be lower in patients with non-metastatic cancer than in those with metastatic cancer (7 vs. 13%, respectively; P=0.12). On multivariate analysis, 11 factors that significantly influenced the survival time were identified. These findings emphasize the complexity of potential prediction models. The most important risk factor regarding the prediction of extremely short survival times was observed to be an Eastern Cooperative Oncology Group performance status (ECOG PS) of 4, followed by an ECOG PS of 3 (median survival times, 14 and 64 days, respectively). A limited number of patients who received palliative radiotherapy during their last month of life died unexpectedly. Disease-specific prediction models were developed; however, the small number of events available for analysis limited their immediate clinical impact. Furthermore, these prediction models identified a minority of patients who received radiotherapy during the last month of life. In conclusion, the majority of the palliative radiotherapy courses administered to patients with advanced cancer during their last month of life may be preventable if accurate decision models for the clinic are developed. However, due to the complexity associated with the prediction of survival times in patients receiving palliative radiotherapy, large databases are required to allow accurate models to be established. The present study also discusses the recommendations of the Department of Oncology and Palliative Medicine of Nordland Hospital (Bodø, Nordland, Norway) with regard to the use of palliative radiotherapy during the last month of life of patients with terminal cancer.
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