S Bhattacharyya
Novartis
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Featured researches published by S Bhattacharyya.
Alzheimers & Dementia | 2017
Anders Gustavsson; Colin Green; Roy W. Jones; Hans Förstl; D Simsek; Frederic de Reydet de Vulpillieres; Stefanie Luthman; Nicholas Adlard; S Bhattacharyya; Anders Wimo
Available data and models for the health‐economic evaluation of treatment in Alzheimers disease (AD) have limitations causing uncertainty to decision makers. Forthcoming treatment strategies in preclinical or early AD warrant an update on the challenges associated with their economic evaluation. The perspectives of the co‐authors were complemented with a targeted review of literature discussing methodological issues and data gaps in AD health‐economic modelling. The methods and data available to translate treatment efficacy in early disease into long‐term outcomes of relevance to policy makers and payers are limited. Current long‐term large‐scale data accurately representing the continuous, multifaceted, and heterogeneous disease process are missing. The potential effect of disease‐modifying treatment on key long‐term outcomes such as institutionalization and death is uncertain but may have great effect on cost‐effectiveness. Future research should give priority to collaborative efforts to access better data on the natural progression of AD and its association with key long‐term outcomes.
Journal of Medical Economics | 2017
Nanxin Li; Xi Yang; Liangyi Fan; Todor Totev; Annie Guerin; Lei Chen; S Bhattacharyya; George J. Joseph
Abstract Objective: To evaluate the cost-effectiveness of second-line nilotinib vs dasatinib among patients with Philadelphia chromosome-positive chronic myeloid leukemia in chronic phase (Ph+ CML-CP) who are resistant or intolerant to imatinib, from a US third-party perspective. Methods: A lifetime partitioned survival model was developed to compare the costs and effectiveness of nilotinib vs dasatinib, which included four health states: CP on treatment, CP post-discontinuation, progressive disease (accelerated phase [AP] or blast crisis [BC]), and death. Time on treatment, progression-free survival, and overall survival of nilotinib and dasatinib were estimated using real-world comparative effectiveness data. Parametric survival models were used to extrapolate outcomes beyond the study period. Drug treatment costs, medical costs, and adverse event costs were obtained from the literature and publicly available databases. Utilities of health states were derived from the literature. Incremental cost-effectiveness ratios, including incremental cost per life-year (LY) gained and incremental cost per quality-adjusted life-year (QALY) gained, were estimated comparing nilotinib and dasatinib. Deterministic sensitivity analyses were performed by varying patient characteristics, cost, and utility inputs. Results: Over a lifetime horizon, nilotinib-treated patients were associated with 11.7 LYs, 9.1 QALYs, and a total cost of
Health and Quality of Life Outcomes | 2018
Eytan M. Stein; Min Yang; Annie Guerin; Wei Gao; Philip Galebach; Cheryl Xiang; S Bhattacharyya; Gaetano Bonifacio; George J. Joseph
1,409,466, while dasatinib-treated patients were associated with 9.5 LYs, 7.3 QALYs, and a total cost of
Journal of Managed Care Pharmacy | 2018
Rohit Mistry; Jessica R. May; Gaurav Suri; Kate Young; Diana I. Brixner; Gary M. Oderda; Joseph Biskupiak; Derek Tang; S Bhattacharyya; Dinesh Mishra; Devarshi Bhattacharyya; Anand A. Dalal
1,422,122. In comparison with dasatinib, nilotinib was associated with better health outcomes (by 2.2 LYs and 1.9 QALYs) and lower total costs (by
Current Medical Research and Opinion | 2018
Rohit Mistry; Gaurav Suri; Kate Young; Robert Hettle; Jessica R. May; Diana I. Brixner; Gary M. Oderda; Joseph Biskupiak; Derek Tang; Devarshi Bhattacharyya; S Bhattacharyya; Dinesh Mishra; Anand A. Dalal
12,655). Deterministic sensitivity analysis results showed consistent findings in most scenarios. Limitations: In the absence of long-term real-world data, the lifetime projection could not be validated. Conclusions: Compared with dasatinib, second-line nilotinib was associated with better life expectancy, better quality-of-life, and lower costs among patients with Ph+ CML-CP who were resistant or intolerant to imatinib.
Value in Health | 2017
R Mistry; G Suri; Kc Young; Robert Hettle; Jr May; D Brixner; G Oderda; J Biskupiak; D Tang; D Bhattacharyya; S Bhattacharyya; D Mishra; Anand A. Dalal
BackgroundPreference valuations of health status are essential in health technology and economic appraisal. This study estimated utilities for treatment-related health states of acute myeloid leukemia (AML) and disutilities of severe adverse events (SAEs) using a representative sample of adults from the general population in the United States (US).MethodsTreatment-related AML health states, defined based on literature and interviews with clinicians, included complete remission (CR), no CR, relapse, stem cell transplant (SCT), and post SCT short-term recovery. Six attributes with varying levels, including fever, lack of energy, problems with daily function, anxiety/depression, blood transfusions, and hospitalization, were used to define health states. An online survey using discrete choice experiment methodology was designed to capture preferences for health status scenarios including the identified attributes and key grade 3/4 chemotherapy-related SAEs. Health state utilities and SAE disutilities were generated from a conditional logistic regression with generalized estimating equations.ResultsOf the 300 survey participants, the demographic distributions were within a 3% margin of those in the 2010 US Census. CR had the highest utility value (0.875), followed by post-SCT short-term recovery (0.398), relapse (0.355), no CR (0.262), and SCT (0.158). Of the SAEs, serious infection had the highest decline in utility (0.218), followed by severe diarrhea (0.176), abnormally low blood cell counts (0.100), and severe redness/skin peeling (0.060).ConclusionsAML and treatments can result in reduced quality of life and impaired ability to perform daily activities. Findings of this study underline the value that society places on treatment-related AML health states and SAEs.
Value in Health | 2016
S Bhattacharyya; S Banerjee; H Clinton; G Faithfull; C Mendoza
BACKGROUND U.S. regulatory approvals of the cyclin-dependent kinase 4 and 6 (CDK 4/6) inhibitors ribociclib and palbociclib as add-ons to letrozole greatly enhance the prospects for treating postmenopausal women with hormone receptor-positive (HR+)/human epidermal receptor 2-negative (HER2-) advanced or metastatic breast cancer. Clinical trials have established that the combination of a CDK 4/6 inhibitor with letrozole can significantly improve progression-free survival (PFS) versus letrozole monotherapy and is safe and well tolerated. Cost-effectiveness studies are required to inform payers and clinical decision makers on the money value of combination treatment in clinical practice. OBJECTIVE To evaluate the cost-effectiveness of ribociclib plus letrozole versus palbociclib plus letrozole and versus letrozole monotherapy in the first-line treatment of postmenopausal women with HR+/HER2- advanced or metastatic breast cancer from a U.S. private third-party payer perspective. METHODS A partitioned survival model including 3 health states (progression free, with either overall response or stable disease; progressed disease; and death) simulated lifetime costs and outcomes over a 40-year lifetime horizon with a 1-month cycle length. Clinical efficacy data (PFS and overall survival [OS]) were derived from a phase III trial of ribociclib plus letrozole (MONALEESA-2; NCT01958021), a phase II trial of palbociclib plus letrozole (PALOMA-1; NCT00721409), and a Bayesian network meta-analysis. Health care costs included drug acquisition and monitoring, disease management, subsequent therapies, and serious drug-related adverse events. Effectiveness was measured in life-years, derived from survival projections, and in quality-adjusted life-years (QALYs), calculated from time spent in each state combined with health-state utility values. A one-way deterministic sensitivity analysis explored the impact of uncertainty in key model parameters on results, and probabilistic uncertainty was assessed through a Monte Carlo probabilistic sensitivity analysis. RESULTS Ribociclib plus letrozole was dominant versus palbociclib plus letrozole, with a cost saving of
Value in Health | 2017
G Suri; R Mistry; Kc Young; Robert Hettle; Jr May; D Brixner; G Oderda; J Biskupiak; D Tang; D Bhattacharyya; S Bhattacharyya; D Mishra; Anand A. Dalal
43,037 and a gain of 0.086 QALYs. Compared with letrozole monotherapy, ribociclib plus letrozole was associated with an incremental cost of
Value in Health | 2017
V Khurana; John Ko; S Bhattacharyya; G Partha; A Khare; Jennie Medin
144,915 and an incremental QALY of 0.689, equating to an incremental cost-effectiveness ratio of
Value in Health | 2016
R Mahon; T Cassel; Pe Balkin; C Burke; S Bhattacharyya; Sb Gokhale; J Handin; C Mendoza
210,369 per QALY. Key model drivers included OS HRs for palbociclib plus letrozole versus letrozole and for ribociclib plus letrozole versus letrozole, the PFS HR for palbociclib plus letrozole versus letrozole, PD health-state costs, utility of response, and cost discount rate. The probabilities that ribociclib plus letrozole was cost-effective versus letrozole at thresholds of