Literature DB >> 31198178

Estimating the Clinical Pipeline of Cell and Gene Therapies and Their Potential Economic Impact on the US Healthcare System.

Casey Quinn1, Colin Young2, Jonathan Thomas2, Mark Trusheim2.   

Abstract

OBJECTIVES: To estimate, at the indication level, durable gene and cellular therapy new product launches in the United States through 2030, and the number of treated patients.
METHODS: A statistical analysis of clinical trials pipeline data and disease incidence and prevalence was conducted to estimate the impact of new cell and gene therapies. We used Citeline's® Pharmaprojects® database to estimate the rates and timing of new product launches, on the basis of the phase of development, duration in phase, and probability of progression. Disease incidence and prevalence data were combined with estimates of market adoption to project the size of reimbursed patient populations.
RESULTS: We project that about 350 000 patients will have been treated with 30 to 60 products by 2030. About half the launches are expected to be in B-cell (CD-19) lymphomas and leukemias.
CONCLUSIONS: Cell and gene therapies promise durable clinical benefit from a single treatment course. High upfront reimbursement for these products means that the total costs could exceed what the healthcare system can manage. This creates a need for precision financing solutions and new reimbursement models that can ensure appropriate patient access to needed treatments, increase affordability for payers, and sustain private investment in innovation.
Copyright © 2019 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cell and gene therapies; drug pipeline; financing healthcare; managed care; pharmaceuticals

Mesh:

Year:  2019        PMID: 31198178     DOI: 10.1016/j.jval.2019.03.014

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  8 in total

1.  Resource utilization for chimeric antigen receptor T cell therapy versus autologous hematopoietic cell transplantation in patients with B cell lymphoma.

Authors:  Alexander Ring; Björn Grob; Erik Aerts; Katharina Ritter; Jörk Volbracht; Bettina Schär; Michael Greiling; Antonia M S Müller
Journal:  Ann Hematol       Date:  2022-06-27       Impact factor: 4.030

Review 2.  Catching Them Early: Framework Parameters and Progress for Prenatal and Childhood Application of Advanced Therapies.

Authors:  Carsten W Lederer; Lola Koniali; Tina Buerki-Thurnherr; Panayiota L Papasavva; Stefania La Grutta; Amelia Licari; Frantisek Staud; Donato Bonifazi; Marina Kleanthous
Journal:  Pharmaceutics       Date:  2022-04-05       Impact factor: 6.525

3.  Development of a conceptual model for evaluating new non-curative and curative therapies for sickle cell disease.

Authors:  Kate M Johnson; Boshen Jiao; M A Bender; Scott D Ramsey; Beth Devine; Anirban Basu
Journal:  PLoS One       Date:  2022-04-28       Impact factor: 3.752

Review 4.  Financing Drug Innovation in the US: Current Framework and Emerging Challenges.

Authors:  David Cutler; Noam Kirson; Genia Long
Journal:  Pharmacoeconomics       Date:  2020-09       Impact factor: 4.981

5.  Health Economic Aspects of Chimeric Antigen Receptor T-cell Therapies for Hematological Cancers: Present and Future.

Authors:  Renaud Heine; Frederick W Thielen; Marc Koopmanschap; Marie José Kersten; Hermann Einsele; Ulrich Jaeger; Pieter Sonneveld; Jorge Sierra; Carin Smand; Carin A Uyl-de Groot
Journal:  Hemasphere       Date:  2021-01-28

6.  Drug development post COVID-19 pandemic: toward a better system to meet current and future global health challenges.

Authors:  Koippallil Gopalakrishnan Aghila Rani; Mohamad A Hamad; Dana M Zaher; Scott McN Sieburth; Navid Madani; Taleb H Al-Tel
Journal:  Expert Opin Drug Discov       Date:  2020-12-28       Impact factor: 6.098

7.  Comparison of international guidelines for early-phase clinical trials of cellular and gene therapy products.

Authors:  Wonsuk Shin; Min-Gul Kim; Anhye Kim
Journal:  Transl Clin Pharmacol       Date:  2022-03-07

8.  Gene Identification and Potential Drug Therapy for Drug-Resistant Melanoma with Bioinformatics and Deep Learning Technology.

Authors:  Muge Liu; Yingbin Xu
Journal:  Dis Markers       Date:  2022-07-23       Impact factor: 3.464

  8 in total

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