RESUMO
Nine drugs have been marketed for 10 years for the treatment of advanced melanoma (AM). With half of patients reaching a second line, the optimal sequence of treatments remains unclear. To inform policy-makers about their efficiency, we performed a cost-effectiveness analysis of sequential strategies in clinical practice in France, for BRAF-mutated and wild-type patients. A multistate model was developed to describe treatment sequences, associated costs, and health outcomes over 10 years. Sequences, clinical outcomes, utility scores, and economic data were extracted from the prospective Melbase cohort, collecting individual data in 1518 patients since 2013, from their AM diagnosis until their death. To adjust the differences in patients' characteristics among sequences, weighting by inverse probability was used. In the BRAF-mutated population, the MONO-targeted therapies (TT)-anti-PD1 sequence was the less expensive, whereas the anti-PD1-BI-TT sequence had an incremental cost-effectiveness ratio (ICER) of 180,441 EUR/QALY. Regarding the BRAF wild-type population, the three sequences constituted the cost-effective frontier, with ICERs ranging from 116 to 806,000 EUR/QALY. For BRAF-mutated patients, the sequence anti-PD1-BI-TT appeared to be the most efficient one in BRAF-mutated AM patients until 2018. Regarding the BRAF wild-type population until 2018, the sequence starting with IPI+NIVO appeared inefficient compared to anti-PD1, considering the extra cost for the QALY gained.
Assuntos
Análise de Custo-Efetividade , Melanoma , Humanos , Análise Custo-Benefício , Melanoma/tratamento farmacológico , Melanoma/genética , Estudos Prospectivos , Proteínas Proto-Oncogênicas B-raf/genética , FrançaRESUMO
BACKGROUND: Changes in the management of patients with cancer and delays in treatment delivery during the COVID-19 pandemic may impact the use of hospital resources and cancer mortality. PATIENTS AND METHODS: Patient flows, patient pathways and use of hospital resources during the pandemic were simulated using a discrete event simulation model and patient-level data from a large French comprehensive cancer centre's discharge database, considering two scenarios of delays: massive return of patients from November 2020 (early-return) or March 2021 (late-return). Expected additional cancer deaths at 5 years and mortality rate were estimated using individual hazard ratios based on literature. RESULTS: The number of patients requiring hospital care during the simulation period was 13,000. In both scenarios, 6-8% of patients were estimated to present a delay of >2 months. The overall additional cancer deaths at 5 years were estimated at 88 in early-return and 145 in late-return scenario, with increased additional deaths estimated for sarcomas, gynaecological, liver, head and neck, breast cancer and acute leukaemia. This represents a relative additional cancer mortality rate at 5 years of 4.4 and 6.8% for patients expected in year 2020, 0.5 and 1.3% in 2021 and 0.5 and 0.5% in 2022 for each scenario, respectively. CONCLUSIONS: Pandemic-related diagnostic and treatment delays in patients with cancer are expected to impact patient survival. In the perspective of recurrent pandemics or alternative events requiring an intensive use of limited hospital resources, patients should be informed not to postpone care, and medical resources for patients with cancer should be sanctuarised.
Assuntos
COVID-19/epidemiologia , Neoplasias/mortalidade , Neoplasias/terapia , COVID-19/mortalidade , COVID-19/virologia , Simulação por Computador , Atenção à Saúde/organização & administração , Administração Hospitalar , Hospitais , Humanos , Neoplasias/patologia , Pandemias , Modelos de Riscos Proporcionais , SARS-CoV-2/isolamento & purificaçãoRESUMO
BACKGROUND: Significant progress was recently observed in the treatment of metastatic melanoma (MM). With >50% of patients now reaching a second line of treatment and a significant improvement in the survival rate, an assessment of quality of life (QoL) during the whole course of the disease becomes necessary. The objective of this study was to describe the QoL of patients with MM in France, from their diagnosis of advanced disease to their death, in real life. METHODS: QoL data were collected through MelBase, a prospective, French, multicentric cohort dedicated to the follow-up of adults with MM. QoL was assessed using the EuroQoL-5D questionnaire and the Functional Assessment of Cancer Treatment (FACT)-Melanoma questionnaire at the time of study inclusion, every 3 months, and at the time of each treatment change until death. To assess longitudinal changes from baseline to death, mixed-effect models for repeated-measures analyses were used to control for baseline covariates. RESULTS: QoL was assessed in 1435 patients who were included in the study between 2013 and 2018. The median follow-up was 9.4 months, and 47% of patients died during follow-up. During first-line treatment, the model-based, mean utility score was 0.830 (95% CI, 0.818-0.843), the mean FACT-General score was 77.22 (95% CI, 76.23-78.22), and the mean FACT-Melanoma score was 129.46 (95% CI, 128.02-130.90). At the time of a change in treatment line, there was a decrease of -0.027 (95% CI, -0.03, -0.02) in the utility score, -1.82 (95% CI, -1.88, -1.76) in the FACT-General score, and -2.98 (95% CI, -3.05, -2.91) in the FACT-Melanoma score compared with first-line treatment. CONCLUSIONS: In the MelBase cohort, the QoL among patients with MM seems to be fairly stable over the whole disease course, although a small but significant decrease at time therapy is changed is observed.