Evidence Hub

Value of Emerging and Existing Pre-prophylaxis and Therapeutic Options for COVID-19 in Transplant Recipients: A Systematic Review of Economic Evaluations

Grant A, Kabbani D, Vuong A, Skidmore B, Hsu AT, Sanmugalingham G, de Vries R, Logan S et al.

PharmacoEconomics - open, 2026

Abstract

Background: High-risk populations, including transplant recipients, are at increased risk of severe Coronavirus disease 2019 (COVID-19) outcomes. Certain treatments and pre-exposure prophylaxis (PrEP) have been approved to reduce the risk of severe illness. However, data on the cost effectiveness of currently approved COVID-19 therapeutics and preventative treatments are limited for those at high-risk of severe disease.

Objective: The aim of this study was to systematically review the cost effectiveness of COVID-19 treatments and PrEP in high-risk, immunocompromised, and transplant populations.

Methods: Electronic databases were searched from inception to September 2025 for studies comparing costs and effectiveness of monoclonal antibodies PrEP or COVID-19 therapeutics in high-risk, immunocompromised or transplant populations. Two reviewers independently screened studies, extracted data, and critically appraised them using the Joanna Briggs Institute checklist for economic evaluations. Cost data are presented in 2025 US dollars.

Results: Of 8905 studies identified, 60 met inclusion criteria, with seven focused on or including transplant populations. Most studies were cost-utility analyses published between 2020 and 2025. Nirmatrelvir-ritonavir, tixagevimab-cilgavimab, casirivimab-imdevimab, sotrovimab, remdesivir, molnupiravir, and fluvoxamine were compared with no prophylaxis or standard of care. Among transplant populations, the incremental cost-effectiveness ratio (ICER)…

How strong is the evidence?

Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free