William Wong
Genentech
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Publication
Featured researches published by William Wong.
Journal of Medical Economics | 2017
Josh J. Carlson; William J. Canestaro; A. Ravelo; William Wong
Abstract Introduction Anaplastic lymphoma kinase (ALK) targeting drugs provide an important option for advanced non-small cell lung cancer patients with this distinct tumor type; however, there is considerable uncertainty as to which drug provides the optimal value after crizotinib treatment. This study estimated the cost-utility of alectinib vs ceritinib from a US payer perspective. Methods A cost-utility model was developed using partition survival methods and three health states: progression-free (PF), post-progression (PP), and death. Survival data were derived from the key clinical trials (alectinib: NP28761 & NP28673, ceritinib: ASCEND I and II). Costs included drugs, adverse events, and supportive care. Utilities were based on trial data and the literature. One-way and probabilistic sensitivity analyses (PSA) were performed to assess parameter uncertainty. Results Treatment with alectinib vs ceritinib resulted in increases of 2.55 months in the PF state, 0.44 quality adjusted life-years (QALYs), and
PharmacoEconomics | 2018
Josh J. Carlson; Kangho Suh; Panos Orfanos; William Wong
13,868, yielding a mean cost/QALY of
JCO Precision Oncology | 2018
Peter B. Illei; William Wong; Ning Wu; Laura Chu; Ravindra Gupta; Katja Schulze; Matthew A. Gubens
31,180. In the PSA, alectinib had a 96% probability of being cost-effective at a willingness-to-pay of
OncoTargets and Therapy | 2017
Marco DiBonaventura; William Wong; Bijal Shah-Manek; Mathias Schulz
100,000/QALY. Drivers of model results were drug costs and utilities in the PF health state. The ICER ranged from
Clinical Lung Cancer | 2017
Mark S. Walker; William Wong; Arliene Ravelo; Paul J. Miller; Lee S. Schwartzberg
10,600–
Health and Quality of Life Outcomes | 2017
Mark S. Walker; William Wong; Arliene Ravelo; Paul J. Miller; Lee S. Schwartzberg
65,000 per QALY in scenario analyses, including a sub-group analysis limited to patients with prior chemotherapy and crizotinib treatment. Conclusions Treatment with alectinib in ALK + crizotinib-treated patients increased time progression-free and QALYs vs ceritinib. The marginal cost increase was driven by longer treatment durations with alectinib. This model demonstrates that alectinib may be considered a cost-effective treatment after progression on crizotinib.
Value in Health | 2016
Walker; William Wong; Arliene Ravelo; S Hazard; Pj Miller; Lee S. Schwartzberg
BackgroundThe recently completed ALEX trial demonstrated that alectinib improved progression-free survival, and delayed time to central nervous system progression compared with crizotinib in patients with anaplastic lymphoma kinase-positive non-small-cell lung cancer. However, the long-term clinical and economic impact of using alectinib vs. crizotinib has not been evaluated. The objective of this study was to determine the potential cost utility of alectinib vs. crizotinib from a US payer perspective.MethodsA cost-utility model was developed using partition survival methods and three health states: progression-free, post-progression, and death. ALEX trial data informed the progression-free and overall survival estimates. Costs included drug treatments and supportive care (central nervous system and non-central nervous system). Utility values were obtained from trial data and literature. Sensitivity analyses included one-way and probabilistic sensitivity analyses.ResultsTreatment with alectinib vs. crizotinib resulted in a gain of 0.91 life-years, 0.87 quality-adjusted life-years, and incremental costs of US
Journal of Clinical Oncology | 2016
Josh J. Carlson; William Wong; William J. Canestaro
34,151, resulting in an incremental cost-effectiveness ratio of US
Journal of Managed Care Pharmacy | 2018
Bijal Shah-Manek; William Wong; Arliene Ravelo; Marco DiBonaventura
39,312/quality-adjusted life-year. Drug costs and utilities in the progression-free health state were the main drivers of the model in the one-way sensitivity analysis. From the probabilistic sensitivity analysis, alectinib had a 64% probability of being cost effective at a willingness-to-pay threshold of US
Journal of Clinical Oncology | 2018
William Wong; Ning Wu; Ravindra Gupta
100,000/quality adjusted life-year.ConclusionsAlectinib increased time in the progression-free state and quality-adjusted life-years vs. crizotinib. The marginal cost increase was reflective of longer treatment durations in the progression-free state. Central nervous system-related costs were considerably lower with alectinib. Our results suggest that compared with crizotinib, alectinib may be a cost-effective therapy for treatment-naïve patients with anaplastic lymphoma kinase-positive non-small-cell lung cancer.