Cost-effectiveness analysis for avelumab first-line maintenance treatment of advanced urothelial carcinoma in Scotland.

Aim: The cost-effectiveness of avelumab first-line maintenance treatment for locally advanced or metastatic urothelial carcinoma in Scotland was assessed. Materials & methods: A partitioned survival model was developed comparing avelumab plus best supportive care (BSC) versus BSC alone, incorporating JAVELIN Bladder 100 trial data, costs from national databases and published literature and clinical expert validation of assumptions. Incremental cost-effectiveness ratio (ICER) was estimated using lifetime costs and quality-adjusted life-years (QALY). Results: Avelumab plus BSC had incremental costs of £9446 and a QALY gain of 0.63, leading to a base-case (deterministic) ICER of £15,046 per QALY gained, supported by robust sensitivity analyses. Conclusion: Avelumab first-line maintenance is likely to be a cost-effective treatment for locally advanced or metastatic urothelial carcinoma in Scotland.

What is this article about? This study looked at the costs of avelumab when given as maintenance treatment for people in Scotland with advanced urothelial carcinoma, compared with the longer survival and other benefits that it provides. How was this done? Researchers estimated the costs and treatment benefits expected with avelumab using data from a clinical trial called JAVELIN Bladder 100, national databases, data from previously published studies and expert opinions. What were the results? Costs associated with using avelumab maintenance treatment for people with advanced urothelial carcinoma in Scotland were considered to be acceptable based on the benefits it provides. What do the results of the study mean? These results support the use of avelumab first-line maintenance as a standard treatment for people with advanced urothelial carcinoma in Scotland.

Retrospective analysis of real-world treatment patterns and clinical outcomes in patients with advanced non-small cell lung cancer starting first-line systemic therapy in the United Kingdom.

BACKGROUND: The treatment landscape for advanced non-small cell lung cancer (aNSCLC) has evolved rapidly since immuno-oncology (IO) therapies were introduced. This study used recent data to assess real-world treatment patterns and clinical outcomes in aNSCLC in the United Kingdom. METHODS: Electronic prescribing records of treatment-naive patients starting first-line (1 L) treatment for aNSCLC between June 2016 and March 2018 (follow-up until December 2018) in the United Kingdom were assessed retrospectively. Patient characteristics and treatment patterns were analyzed descriptively. Outcomes assessed included overall survival (OS), time to treatment discontinuation, time to next treatment, and real-world tumor response. RESULTS: In all, 1003 patients were evaluated (median age, 68 years [range, 28-93 years]; 53.9% male). Use of 1 L IO monotherapy (0-25.9%) and targeted therapy (11.8-15.9%) increased during the study period, but chemotherapy remained the most common 1 L treatment at all time points (88.2-58.2%). Median OS was 9.5 months (95% CI, 8.8-10.7 months) for all patients, 8.1 months (95% CI, 7.4-8.9 months) with chemotherapy, 14.0 months (95% CI, 10.7-20.6 months) with IO monotherapy, and 20.2 months (95% CI, 16.0-30.5 months) with targeted therapy. In the 28.6% of patients who received second-line treatment, IO monotherapy was the most common drug class (used in 51.6%). CONCLUSIONS: Although use of 1 L IO monotherapy for aNSCLC increased in the United Kingdom during the study period, most patients received 1 L chemotherapy. An OS benefit for first-line IO monotherapy vs chemotherapy was observed but was numerically smaller than that reported in clinical trials. Targeted therapy was associated with the longest OS, highlighting the need for improved treatment options for tumors lacking targetable mutations.

Evaluation of survival extrapolation in immuno-oncology using multiple pre-planned data cuts: learnings to aid in model selection.

BACKGROUND: Due to limited duration of follow up in clinical trials of cancer treatments, estimates of lifetime survival benefits are typically derived using statistical extrapolation methods. To justify the method used, a range of approaches have been proposed including statistical goodness-of-fit tests and comparing estimates against a previous data cut (i.e. interim data collected). In this study, we extend these approaches by presenting a range of extrapolations fitted to four pre-planned data cuts from the JAVELIN Merkel 200 (JM200) trial. By comparing different estimates of survival and goodness-of-fit as JM200 data mature, we undertook an iterative process of fitting and re-fitting survival models to retrospectively identify early indications of likely long-term survival. METHODS: Standard and spline-based parametric models were fitted to overall survival data from each JM200 data cut. Goodness-of-fit was determined using an assessment of the estimated hazard function, information theory-based methods and objective comparisons of estimation accuracy. Best-fitting extrapolations were compared to establish which one provided the most accurate estimation, and how statistical goodness-of-fit differed. RESULTS: Spline-based models provided the closest fit to the final JM200 data cut, though all extrapolation methods based on the earliest data cut underestimated the 'true' long-term survival (difference in restricted mean survival time [RMST] at 36 months: - 1.1 to - 0.5 months). Goodness-of-fit scores illustrated that an increasingly flexible model was favored as data matured. Given an early data cut, a more flexible model better aligned with clinical expectations could be reasonably justified using a range of metrics, including RMST and goodness-of-fit scores (which were typically within a 2-point range of the statistically 'best-fitting' model). CONCLUSIONS: Survival estimates from the spline-based models are more aligned with clinical expectation and provided a better fit to the JM200 data, despite not exhibiting the definitively 'best' statistical goodness-of-fit. Longer-term data are required to further validate extrapolations, though this study illustrates the importance of clinical plausibility when selecting the most appropriate model. In addition, hazard-based plots and goodness-of-fit tests from multiple data cuts present useful approaches to identify when a more flexible model may be advantageous. TRIAL REGISTRATION: JAVELIN Merkel 200 was registered with ClinicalTrials.gov as NCT02155647 on June 4, 2014.

Quantifying the administration and monitoring time burden of several disease-modifying therapies for relapsing multiple sclerosis in the United Kingdom: A time and motion study.

BACKGROUND: The treatment landscape for relapsing multiple sclerosis (MS) has changed dramatically in recent decades, including an increasing number of high-efficacy disease-modifying therapies (DMTs) with varied administration and monitoring requirements. Coupled with greater focus on earlier treatment, these factors have resulted in stretching of the capacity of MS specialist services and allied healthcare professionals (HCPs). To assist with the effective planning of MS services in the UK NHS, this study quantified the administration and monitoring time burden associated with high-efficacy DMTs (alemtuzumab, cladribine tablets, fingolimod, natalizumab, and ocrelizumab) for relapsing MS. METHODS: A Time and Motion (T&M) study was conducted across four MS centres in the UK, over 3-4 months per centre (Aug 2019-Feb 2021). Time dedicated by HCPs (including but not limited to neurologists, MS specialist nurses, infusion nurses, and healthcare assistants) to pre-specified drug administration and monitoring activities, elicited during pre-study interviews at each centre, was assessed for each of the selected DMTs. Administration activities included: installing peripheral access; pre-medication administration (if needed); preparing drug for infusion; infusion initiation, monitoring, and disconnection; and patient monitoring post-infusion. Monitoring activities included: booking appointments for blood draws; blood draw; retrieval and review of blood results; maintaining blood records and follow-up with the patient; checking availability of MRI results and follow-up with the patient; booking appointments for neurologist or nurse consultations; and checking patient files prior to clinic visits. A T&M model was built using observational T&M study results, data obtained through pre-study interviews, as well as stipulated monitoring intervals from relevant Summaries of Product Characteristics for the selected DMTs, to estimate active HCP time with each DMT, extrapolated over a period of 4 years per-patient. RESULTS: For oral DMTs, projected total active HCP time (monitoring only) per-patient over 4 years was 14.7 h for cladribine tablets and 19.2 h for fingolimod. For infused DMTs, total time (administration and monitoring) for alemtuzumab was 37.7 h (6.0 and 31.6 h, respectively), 48.1 h for natalizumab (17.4 and 30.8 h, respectively), and 23.5 h for ocrelizumab (6.1 and 17.4 h, respectively). CONCLUSIONS: While active HCP time varied across centres, infused DMTs were projected to require the greatest amount of HCP time associated with administration and monitoring over 4 years versus oral DMTs. These findings may assist MS-specific HCPs in planning and delivering the equitable provision of DMT services for patients with relapsing MS.

Real-world use of cladribine tablets (completion rates and treatment persistence) in patients with multiple sclerosis in England: The CLARENCE study.

BACKGROUND: Treatment with cladribine tablets, a high-efficacy disease-modifying therapy (DMT), has been available in England since 2017 for patients with highly active relapsing multiple sclerosis (MS). Real-world data on treatment completion, persistence and switching in patients treated with cladribine tablets are beginning to emerge, but only small single and multicentre cohorts have reported so far. This longitudinal retrospective observational study (CLARENCE) evaluated a large cohort (>1900) of patients with highly active relapsing MS, receiving cladribine tablets across England, to determine rates of treatment completion, persistence and switching in the real world. METHODS: Using data obtained from Blueteq® forms, a compulsory requirement for DMT reimbursement in England, we evaluated rates of treatment completion (defined as the proportion of patients who received the full 2-year course of cladribine tablets), treatment persistence (defined as the proportion of patients who did not switch and/or discontinue treatment before receiving the full 2-year course) and treatment switch (defined as the proportion of patients who switched treatment from cladribine tablets to another DMT at any point after their first course). The change in Expanded Disability Status Scale (EDSS) score between Years 1 and 2 of treatment was also determined. All data were analysed descriptively. RESULTS: Blueteq® forms were completed for 1934 MS patients treated with cladribine tablets; of these patients, 691 (36%) were treatment naïve. The median EDSS score (range) at treatment initiation with cladribine tablets was 2.5 (0, 8.5). At time of analysis (September 2021, last follow-up point), a total of 1020 (53%) patients had completed the full 2-year course of cladribine tablets. At the same time point, 1762 (91%) patients were considered as treatment persistent (i.e., the patient had completed either 1 course of tablets with <18 months of follow-up data or the full 2-year course of cladribine tablets). Overall, 78 (4%) patients switched to another DMT at any point after their first course, which included 33 (1.7%) patients who switched after completing the full 2-year course. In terms of their disability, 469 (84%) patients had stable EDSS scores between Years 1 and 2 of treatment. CONCLUSION: In this large real-world study of patients receiving cladribine tablets across England, high rates of treatment persistence and low rates of switching were observed, with only 1.7% of patients receiving the full 2-year course and switching treatment. The majority (84%) of evaluable patients showed stable disability between Years 1 and 2 of treatment. These findings complement earlier data from clinical trials and real-world studies, confirming the effectiveness of cladribine tablets for patients with highly active relapsing MS.

Cost Effectiveness of Avelumab for Metastatic Merkel Cell Carcinoma.

BACKGROUND: Metastatic Merkel cell carcinoma (mMCC) is a rare and aggressive skin cancer. Until recently, there were no licensed treatment options for patients with mMCC, and prognosis was poor. A cost-effectiveness analysis was conducted for avelumab, a newly available treatment option for mMCC, versus standard care (SC), from a UK National Health Service perspective. METHODS: A partitioned survival model was developed to assess the lifetime costs and effects of avelumab versus SC. Data from the JAVELIN Merkel 200 trial (NCT02155647) were used to inform estimates of quality-adjusted life-years (QALYs). Unit costs and associated frequencies of use were informed by published literature and clinical expert opinion. Results were presented as incremental cost-effectiveness ratios (ICERs, i.e. the cost per QALY gained) for treatment-experienced (TE) and treatment-naïve (TN) patients. Uncertainty was explored through a range of sensitivity analyses. RESULTS: Discounting costs and QALYs at 3.5% per annum, avelumab was associated with ICERs of £35,274 (TE)/£39,178 (TN) per QALY gained. Probabilistic sensitivity analysis results demonstrated that avelumab was associated with an 88.3% (TE)/69.3% (TN) probability of being cost effective at a willingness-to-pay threshold for end-of-life treatments of £50,000 per QALY gained. Results were most sensitive to alternative survival extrapolations and dosing assumptions. CONCLUSIONS: The analysis results suggest that avelumab is likely to be a cost-effective treatment option for UK mMCC patients. The results for TN patients are subject to some uncertainty, and a confirmatory analysis will be conducted with more mature data.