Kinga Marczell - Academia.edu (original) (raw)

Papers by Kinga Marczell

Research paper thumbnail of Overall survival information and population correspondence for FDA cancer accelerated approval indications between 2006 and 2021

Journal of Clinical Oncology

e13653 Background: The US Food and Drug Administration (FDA) Accelerated Approval Program (AAP) w... more e13653 Background: The US Food and Drug Administration (FDA) Accelerated Approval Program (AAP) was instituted to allow patients earlier access to medications that address large unmet need and are approved based on surrogate endpoints. Recently, approvals have been criticized for not providing overall survival data, and for confirmatory trials conducted in alternative populations. We investigated the availability of overall survival (OS) data for cancer accelerated approval (AA) indications and the correspondence between the population providing OS information and that of the original indication to assess the merit of these critiques. Methods: Approval letters and labels of cancer therapy products approved between January 1, 2006 and June 31, 2021 based on their verification status as of June 10, 2022 were identified from Drugs@FDA. Information was extracted irrespective of the final decision. Information about the exact indications and the trials that were used for AA and were cite...

Research paper thumbnail of Public health impact and economic value of booster vaccination with Pfizer-BioNTech COVID-19 vaccine, bivalent (Original and Omicron BA.4/BA.5) in the United States

Journal of Medical Economics

Research paper thumbnail of A Framework for Integrating Continuous Glucose Monitor-Derived Metrics into Economic Evaluations in Type 1 Diabetes

Research paper thumbnail of A táppénz ösztönzési hatásai

Research paper thumbnail of Public Health Impact of the Pfizer-BioNTech COVID-19 vaccine (BNT162b2) in the first year of rollout in the United States

ABSTRACTBackgroundAs the body of evidence on COVID-19 and post-vaccination outcomes continues to ... more ABSTRACTBackgroundAs the body of evidence on COVID-19 and post-vaccination outcomes continues to expand, this analysis sought to evaluate the public health impact of the Pfizer-BioNTech COVID-19 Vaccine, BNT162b2, during the first year of its rollout in the US.MethodsA combined Markov decision tree model compared clinical and economic outcomes of the Pfizer-BioNTech COVID-19 Vaccine (BNT162b2) versus no vaccination in individuals aged ≥12 years. Age-stratified epidemiological, clinical, economic, and humanistic parameters were derived from existing data and published literature. Scenario analysis explored the impact of using lower and upper bounds of parameters on the results. The health benefits were estimated as the number of COVID-19 symptomatic cases, hospitalizations and deaths averted, and Quality Adjusted Life Years (QALYs) saved. The economic benefits were estimated as the amount of healthcare and societal cost savings associated with the vaccine-preventable health outcomes....

Research paper thumbnail of Three essays on the relationship between health and labor market outcomes

Research paper thumbnail of Transparency and Predictability of the Hungarian National Bank

of the articles TRANSPARENCY AND PREDICTABILITY OF THE HUNGARIAN NATIONAL BANK

Research paper thumbnail of Modeling Challenges in Cost-Effectiveness Analysis of First-Line Immuno-Oncology Therapies in Non-small Cell Lung Cancer: A Systematic Literature Review

PharmacoEconomics, 2021

Introduction The introduction of immuno-oncology (IO) therapies has changed the treatment landsca... more Introduction The introduction of immuno-oncology (IO) therapies has changed the treatment landscape of non-small cell lung cancer (NSCLC). Numerous cost-effectiveness analyses (CEAs) and technology appraisals (TAs) evaluating IO therapies have been recently published. Objective We reviewed economic models of first-line (1L) IO therapies for previously untreated advanced or metastatic NSCLC to identify methodological challenges associated with modeling cost effectiveness from published literature and TAs and to make recommendations for future CEAs in this disease area. Methods A systematic literature review was conducted following Cochrane and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We searched MEDLINE, Embase, EconLit (January 2009-January 2020), and select conferences (since 2016) for CEAs of 1L IO treatments in patients with recurrent or metastatic, epidermal growth factor receptor (EGFR)/anaplastic lymphoma kinase (ALK) mutation-negative NSCLC, published in English. TAs from England, Scotland, Canada, Australia, Germany, and France were also examined. Two reviewers screened the results and extracted the data. The quality of the CEAs was described using the Drummond checklist. Results In total, 46 records reporting on 38 unique models met protocol-defined criteria and were included. Five models adjusted for treatment switching or crossover in base-case analyses, and the remainder considered treatment switching or crossover to represent clinical practice and made no adjustment. Seven models used external real-world data for survival modeling or extrapolation validation. Six models that assumed long-term treatment benefit stopped at 3 or 5 years after initiation. Seven models used the observed time-on-treatment distribution from the trial, and eight used progression-free survival for treatment duration. All models compared one or more IO monotherapies or combination therapies with chemotherapy. Only one study directly compared different IO agents but did not consider the concordance issue across programmed death-ligand 1 (PD-L1) testing methods. Utilities were modeled by health state in 12 models, four applied a time-to-death approach, and ten explored both. None applied cure models. Conclusion Variations in methodological challenges were seen across studies. Previous models took approaches that were followed in subsequent models, such as a 2-year stopping rule of IO duration or treatment-effect waning. Challenges such as heterogeneity in PD-L1 testing and survival extrapolation and validation using real-world data should be further considered for future models in advanced or metastatic NSCLC.

Research paper thumbnail of The Societal Value of Vaccines: Expert-Based Conceptual Framework and Methods Using COVID-19 Vaccines as a Case Study

Vaccines

Health technology assessments (HTAs) of vaccines typically focus on the direct health benefits to... more Health technology assessments (HTAs) of vaccines typically focus on the direct health benefits to individuals and healthcare systems. COVID-19 highlighted the widespread societal impact of infectious diseases and the value of vaccines in averting adverse clinical consequences and in maintaining or resuming social and economic activities. Using COVID-19 as a case study, this research work aimed to set forth a conceptual framework capturing the broader value elements of vaccines and to identify appropriate methods to quantify value elements not routinely considered in HTAs. A two-step approach was adopted, combining a targeted literature review and three rounds of expert elicitation based on a modified Delphi method, leading to a conceptual framework of 30 value elements related to broader health effects, societal and economic impact, public finances, and uncertainty value. When applying the framework to COVID-19 vaccines in post-pandemic settings, 13 value elements were consensually ...

Research paper thumbnail of Overall survival information and population correspondence for FDA cancer accelerated approval indications between 2006 and 2021

Journal of Clinical Oncology

e13653 Background: The US Food and Drug Administration (FDA) Accelerated Approval Program (AAP) w... more e13653 Background: The US Food and Drug Administration (FDA) Accelerated Approval Program (AAP) was instituted to allow patients earlier access to medications that address large unmet need and are approved based on surrogate endpoints. Recently, approvals have been criticized for not providing overall survival data, and for confirmatory trials conducted in alternative populations. We investigated the availability of overall survival (OS) data for cancer accelerated approval (AA) indications and the correspondence between the population providing OS information and that of the original indication to assess the merit of these critiques. Methods: Approval letters and labels of cancer therapy products approved between January 1, 2006 and June 31, 2021 based on their verification status as of June 10, 2022 were identified from Drugs@FDA. Information was extracted irrespective of the final decision. Information about the exact indications and the trials that were used for AA and were cite...

Research paper thumbnail of Public health impact and economic value of booster vaccination with Pfizer-BioNTech COVID-19 vaccine, bivalent (Original and Omicron BA.4/BA.5) in the United States

Journal of Medical Economics

Research paper thumbnail of A Framework for Integrating Continuous Glucose Monitor-Derived Metrics into Economic Evaluations in Type 1 Diabetes

Research paper thumbnail of A táppénz ösztönzési hatásai

Research paper thumbnail of Public Health Impact of the Pfizer-BioNTech COVID-19 vaccine (BNT162b2) in the first year of rollout in the United States

ABSTRACTBackgroundAs the body of evidence on COVID-19 and post-vaccination outcomes continues to ... more ABSTRACTBackgroundAs the body of evidence on COVID-19 and post-vaccination outcomes continues to expand, this analysis sought to evaluate the public health impact of the Pfizer-BioNTech COVID-19 Vaccine, BNT162b2, during the first year of its rollout in the US.MethodsA combined Markov decision tree model compared clinical and economic outcomes of the Pfizer-BioNTech COVID-19 Vaccine (BNT162b2) versus no vaccination in individuals aged ≥12 years. Age-stratified epidemiological, clinical, economic, and humanistic parameters were derived from existing data and published literature. Scenario analysis explored the impact of using lower and upper bounds of parameters on the results. The health benefits were estimated as the number of COVID-19 symptomatic cases, hospitalizations and deaths averted, and Quality Adjusted Life Years (QALYs) saved. The economic benefits were estimated as the amount of healthcare and societal cost savings associated with the vaccine-preventable health outcomes....

Research paper thumbnail of Three essays on the relationship between health and labor market outcomes

Research paper thumbnail of Transparency and Predictability of the Hungarian National Bank

of the articles TRANSPARENCY AND PREDICTABILITY OF THE HUNGARIAN NATIONAL BANK

Research paper thumbnail of Modeling Challenges in Cost-Effectiveness Analysis of First-Line Immuno-Oncology Therapies in Non-small Cell Lung Cancer: A Systematic Literature Review

PharmacoEconomics, 2021

Introduction The introduction of immuno-oncology (IO) therapies has changed the treatment landsca... more Introduction The introduction of immuno-oncology (IO) therapies has changed the treatment landscape of non-small cell lung cancer (NSCLC). Numerous cost-effectiveness analyses (CEAs) and technology appraisals (TAs) evaluating IO therapies have been recently published. Objective We reviewed economic models of first-line (1L) IO therapies for previously untreated advanced or metastatic NSCLC to identify methodological challenges associated with modeling cost effectiveness from published literature and TAs and to make recommendations for future CEAs in this disease area. Methods A systematic literature review was conducted following Cochrane and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We searched MEDLINE, Embase, EconLit (January 2009-January 2020), and select conferences (since 2016) for CEAs of 1L IO treatments in patients with recurrent or metastatic, epidermal growth factor receptor (EGFR)/anaplastic lymphoma kinase (ALK) mutation-negative NSCLC, published in English. TAs from England, Scotland, Canada, Australia, Germany, and France were also examined. Two reviewers screened the results and extracted the data. The quality of the CEAs was described using the Drummond checklist. Results In total, 46 records reporting on 38 unique models met protocol-defined criteria and were included. Five models adjusted for treatment switching or crossover in base-case analyses, and the remainder considered treatment switching or crossover to represent clinical practice and made no adjustment. Seven models used external real-world data for survival modeling or extrapolation validation. Six models that assumed long-term treatment benefit stopped at 3 or 5 years after initiation. Seven models used the observed time-on-treatment distribution from the trial, and eight used progression-free survival for treatment duration. All models compared one or more IO monotherapies or combination therapies with chemotherapy. Only one study directly compared different IO agents but did not consider the concordance issue across programmed death-ligand 1 (PD-L1) testing methods. Utilities were modeled by health state in 12 models, four applied a time-to-death approach, and ten explored both. None applied cure models. Conclusion Variations in methodological challenges were seen across studies. Previous models took approaches that were followed in subsequent models, such as a 2-year stopping rule of IO duration or treatment-effect waning. Challenges such as heterogeneity in PD-L1 testing and survival extrapolation and validation using real-world data should be further considered for future models in advanced or metastatic NSCLC.

Research paper thumbnail of The Societal Value of Vaccines: Expert-Based Conceptual Framework and Methods Using COVID-19 Vaccines as a Case Study

Vaccines

Health technology assessments (HTAs) of vaccines typically focus on the direct health benefits to... more Health technology assessments (HTAs) of vaccines typically focus on the direct health benefits to individuals and healthcare systems. COVID-19 highlighted the widespread societal impact of infectious diseases and the value of vaccines in averting adverse clinical consequences and in maintaining or resuming social and economic activities. Using COVID-19 as a case study, this research work aimed to set forth a conceptual framework capturing the broader value elements of vaccines and to identify appropriate methods to quantify value elements not routinely considered in HTAs. A two-step approach was adopted, combining a targeted literature review and three rounds of expert elicitation based on a modified Delphi method, leading to a conceptual framework of 30 value elements related to broader health effects, societal and economic impact, public finances, and uncertainty value. When applying the framework to COVID-19 vaccines in post-pandemic settings, 13 value elements were consensually ...