scholarly journals A Modified Parametric Approach to Model Long-Term Survival of Potentially Curative Therapies: Implications for the Cost-Effectiveness of Car-T Therapies

2018 ◽  
Vol 21 ◽  
pp. S220
Author(s):  
MD whittington ◽  
RB McQueen ◽  
C Kim ◽  
M Patidar ◽  
DA Ollendorf ◽  
...  
2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Bartholomeus Willigers ◽  
Mario Ouwens ◽  
Andrew Briggs ◽  
Oliver Darlington ◽  
Purav Bhatt ◽  
...  

Abstract Background and Aims Elevated albuminuria in patients with chronic kidney disease (CKD) is associated with increased risks of CKD progression, cardiovascular events and all-cause death. In the DAPA-CKD study, dapagliflozin significantly reduced the risk of all-cause death in patients with elevated albuminuria compared with placebo (hazard ratio: 0.69; 95% confidence interval 0.53–0.88). To assess the cost-effectiveness of new treatments, decision makers require survival estimates over a longer period than that of a typical clinical trial, usually over a lifetime time horizon. A formal elicitation process is currently underway to obtain estimates of long-term survival of patients with albuminuric CKD from clinical experts. Their responses will be used to validate extrapolations of all-cause mortality data from DAPA-CKD, which could inform cost-effectiveness analyses for dapagliflozin. Method Targeted literature searches were conducted to collate data on all-cause mortality in patients with CKD and elevated albuminuria. Clinical trials and observational studies were included if they involved non-dialysis-dependent patients with CKD aged 18 years and over, had more than 500 participants per study arm and reported incidence of all-cause death and/or all-cause mortality/survival Kaplan–Meier (KM) curves. To estimate long-term survival, KM curves were extrapolated to 20 years by calculating standard mortality ratios (SMRs) using age- and sex-adjusted general-population lifetable data. Study and patient characteristics and mortality data from relevant studies were provided to clinical experts to inform their judgements in a formal elicitation process. After receiving training on the elicitation process, six leading disease area experts were invited to complete the elicitation survey using an Excel-based tool, which consisted of 10 calibration questions, and three questions regarding the survival of patients in the placebo arm of the DAPA-CKD study at 10 and 20 years. The elicited estimates will be weighted and aggregated using Cooke’s method. Results Literature searches identified 13 relevant articles (seven clinical trials and six observational studies), with a range of 1094 to 5674 participants. Mean age varied across studies (range: 55–70 years). Where reported, median follow-up was 9–144 months, and mean estimated glomerular filtration rate (eGFR) at baseline was 22.4–56.3 mL/min/1.73 m2. Five studies exclusively included patients with type 2 diabetes (T2D). The incidence of all-cause death was reported in nine studies and was 1.5–9.4 deaths per 100 patient-years, with the highest incidence observed in a study reporting data for patients with CKD stage 4 and 5 (8.0 and 9.4 deaths per 100 patient-years, respectively). Nine studies provided KM curves; from these, estimated survival at 2 years ranged from 86% (study population mean age 67 years, eGFR < 15 mL/min/1.73 m2) to 98% (study population mean age 58 years, mean eGFR 46.2 mL/min/1.73 m2). The SMR-extrapolated survival at 10 and 20 years was 36–80% and 2–69%, respectively. The ranges defined by the expert judgements collected to date for survival at 10 and 20 years are in line with the variability of the extrapolated KM survival curves. The elicitation process is ongoing and therefore, to avoid biasing the judgements that remain to be collected, preliminary results are not reported here. Results of the expert elicitation will be presented in full at the congress. Conclusion Initial results from the survey calibration questions suggest that the expert elicitation process provides expert judgements that are both informative and precise. The elicitation of survival estimates for patients with CKD and elevated albuminuria at 10 and 20 years will provide greater insight than extrapolated data alone, and will increase the validity of long-term survival projections for dapagliflozin cost-effectiveness analyses.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3427-3427 ◽  
Author(s):  
Simone Critchlow ◽  
Miranda Cooper ◽  
Ilse van Oostrum ◽  
Verna L Welch ◽  
T. Alexander Russell-Smith

Introduction: Inotuzumab ozogamicin (InO), is a novel anti-CD22 antibody-calicheamicin conjugate approved in R/R B-ALL due to its high hematologic remission rate (81%) based on the phase 3 INO-VATE trial comparing to investigators choice (IC). The TOWER trial demonstrated the efficacy and safety of blinatumomab (Blina) for treatment of Ph- B-ALL versus IC. The relative effectiveness of InO versus Blina was investigated by applying indirect treatment comparison (ITC) methods. A UK-based cost-effectiveness model (CEM) submitted to the Scottish Medicines Consortium (SMC) explored the impact of treatment differences with regard to mean life years (LY) gained and quality-adjusted life years (QALY). Methods: As R/R ALL is a terminal disease if left untreated, achievement of complete response/complete response with incomplete count recovery (CR/CRi) in conjunction with stem cell transplant (SCT) is essential for long-term survival. The three most important outcomes related to treatment are thus the level of response determined by CR/CRi, the rate of SCT, and overall survival (OS). Without potentially curative therapy such as SCT, there is no evidence to suggest long-term survival is possible. Therefore, to compare InO to Blina, comparisons of these outcomes were explored using patient-level data from the INO-VATE ALL trial and aggregate data from the TOWER trial. The CEM structure contained four health states categorising patients based on 'No CR/CRi & no SCT', 'CR/CRi and no SCT' and patients receiving SCT ('SCT/Post SCT') - with progression-free survival (PFS) and OS modelled within these states. States were clinically validated as relevant to treatment of the disease. Death was the fourth health state. Different methods were incorporated to allocate Blina patients to the respective health-states. For levels of response (CR/CRi) and SCT a matching-adjusted indirect comparison (MAIC) and a Bucher ITC were explored. As CR/CRi and SCT rates are not mutually exclusive, a multinomial ITC was also conducted. Once allocated into respective health states, OS and PFS were modelled. Three ITC methods were used to compare OS; a simulated treatment comparison (STC), MAIC and a standard network meta-analysis. In the absence of PFS data for Blina, PFS was assumed to have the same relative treatment effect as OS. Quality of life data within the model for the 'No CR/CRi & no SCT' and 'CR/CRi and no SCT' were informed from InO trial data, while SCT quality of life was informed from the literature with time-varying utilities. Costs were incorporated from a UK perspective using 2017 sources and were those submitted to the SMC. Results were annually discounted at 3.5%. Results: Health state proportions for Ph- InO patients were used as the basis to estimate corresponding Blina proportions and show 49.3% of patients treated with InO reach SCT. With higher odds for CR/CRi and SCT for InO, the ITC results consistently indicate Blina leads to lower proportions of patients receiving SCT (19.1-22.5%) and CR/CRi (25.2-33.3%). ITCs comparing OS outcomes for InO versus blinatumomab show negligible differences between treatments, consistently across the three methods. All combinations of the various methods were explored using the list price for both treatments. The results of the CEM ranged from 0.91-1.14 incremental QALYs for InO versus Blina, while LYs ranged from 2.03-2.59 resulting from higher rates of SCT. The incremental cost-effectiveness ratio (ICER) ranged from £3,700 to £7,010 for InO versus Blina. Extensive scenario analysis indicates that InO is a cost-effective option compared to Blina at a willingness to pay threshold of £20,000 per QALY. The SMC recommended InO as a cost-effective use of resources citing an ICER of £6,754 in the CEM when using the MAIC; InO was associated with a mean survival gain of >29 months over Blina corresponding to this ICER. Conclusions: Outcomes from the ITC indicate that InO provides patients with a greater probability of achieving CR/CRi and/or receiving a subsequent SCT versus Blina. As CR/CRi followed by SCT are essential for long-term survival and potential cure, the mean OS gain in the model cited in the SMC recommendation is intuitive as it aligns with the superior CR/CRi and SCT odds ratios associated with InO. Further research is required to determine the long-term PFS and OS following SCT in R/R B-ALL, beyond what can be reliably captured within clinical trials. Disclosures Critchlow: BresMed Health Solutions Ltd.: Consultancy. Cooper:BresMed Health Solutions Ltd.: Consultancy. van Oostrum:Ingress Health: Employment; Pfizer: Consultancy; Merck: Consultancy; Janssen: Consultancy; AstraZeneca: Consultancy. Welch:Pfizer Inc: Employment, Equity Ownership. Russell-Smith:Pfizer: Employment, Equity Ownership.


2019 ◽  
Vol 2 (2) ◽  
pp. e190035 ◽  
Author(s):  
Melanie D. Whittington ◽  
R. Brett McQueen ◽  
Daniel A. Ollendorf ◽  
Varun M. Kumar ◽  
Richard H. Chapman ◽  
...  

2019 ◽  
Vol 35 (S1) ◽  
pp. 45-45
Author(s):  
Siguroli Teitsson ◽  
Richard Macaulay

IntroductionThis study has two key aims. The first is to review cost-effectiveness (CE) models for chimeric antigen receptor T-cell (CAR-T) therapies that have been appraised by health technology assessment (HTA) authorities. The second is to identify the key challenges of CE modeling of CAR-T therapies based on the main points raised in the HTA appraisals.MethodsA targeted HTA review of published CE models for CAR-T therapies in the United Kingdom (UK) and United States (US) was undertaken.ResultsFour relevant CE models were identified – three from the UK and one in the US. Of the three UK models, two were single technology submissions to the National Institute for Health and Care Excellence (NICE) and one was a ‘mock’ appraisal undertaken by NICE with a hypothetical evidence dataset. The one US model was published by the Institute for Clinical and Economic Review (ICER) committee. Two key model structures were adopted across the appraisals: a three-health state partitioned survival analysis model and a short-term decision tree followed by a three-health state partitioned survival model. The key modeling challenges identified can by summarized into five main categories: comparator evidence generation, estimation of long-term survival, curative benefit, health-related quality of life, and infrastructure/training requirements.ConclusionsThere are many challenges associated with the CE modeling of CAR-T therapies, with the most critical issues related to how uncertainty for long-term efficacy and safety can be addressed and mitigated. With more mature evidence sets in the future, stakeholders will get a clearer picture for the long-term benefit and risk of CAR-T therapies, but until then it is likely that HTA authorities will take a conservative stand when appraising the comparative value of CAR-T therapies.


2018 ◽  
Vol 1 (6) ◽  
pp. 449-458 ◽  
Author(s):  
Beth S. Woods ◽  
Eleftherios Sideris ◽  
Matthew R. Sydes ◽  
Melissa R. Gannon ◽  
Mahesh K.B. Parmar ◽  
...  

2000 ◽  
Vol 111 (1) ◽  
pp. 363-370 ◽  
Author(s):  
Katsuto Takenaka ◽  
Mine Harada ◽  
Tomoaki Fujisaki ◽  
Koji Nagafuji ◽  
Shinichi Mizuno ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A747-A748
Author(s):  
S DRESNER ◽  
A IMMMANUEL ◽  
P LAMB ◽  
S GRIFFIN

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