US payer budget impact of a microarray assay with machine learning to evaluate kidney transplant rejection in for-cause biopsies-Reference-Cited by-同舟云学术

US payer budget impact of a microarray assay with machine learning to evaluate kidney transplant rejection in for-cause biopsies

Published:2022-04-09 Issue:1 Volume:25 Page:515-523
ISSN:1369-6998
Container-title:Journal of Medical Economics
language:en
Short-container-title:Journal of Medical Economics

Author:

Fusfeld Lauren¹^ORCID,Menon Sreeranjani¹,Gupta Gaurav²,Lawrence Christopher³,Masud Salwa F.¹^ORCID,Goss Thomas F.¹

Affiliation:

1. Boston Healthcare Associates, Inc. (now a Veranex company), Boston, MA, USA

2. Division of Nephrology, Department of Medicine, Virginia Commonwealth University, Richmond, VA, USA

3. Thermo Fisher Scientific, West Hills, CA, USA

Funder

Thermo Fisher Scientific.

Thermo Fisher Scientific

Publisher

Informa UK Limited

Subject

Health Policy

Link

https://www.tandfonline.com/doi/pdf/10.1080/13696998.2022.2059221

Reference43 articles.

1. Deceased donor transplants in the U.S by state [Internet]. 2021. [cited 2021 Nov 17]. Available from: https://optn.transplant.hrsa.gov/data/view-data-reports/national-data/.

2. The economic burden of kidney graft failure in the United States

3. USRDS. 2021 USRDS annual data report: epidemiology of kidney disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases. Bethesda (MD): United States Renal Data System; 2020.

4. A comparative analysis of survival of patients on dialysis and after kidney transplantation

5. Factors influencing survival after kidney transplant failure

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