Evidence map›Paper›PMID 41748788›Full record

ArticleGene therapy2026

Cost-effectiveness of gene therapy for sickle cell disease in Uganda: tailoring high-income evidence to Uganda's context.

J Felipe Montano-Campos, Jennifer E Adair, Anirban Basu, Rachel Bakyayita Kyeyune, Lois Bayigga, Cissy Kityo-Mutuluuza, Ryan Hansen

Abstract read
In one paragraph

Article in Gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

J Felipe Montano-CamposCHOICE Institute, School of Pharmacy, University of Washington, Seattle, WA, USA. fmontano@uw.edu.ORCID 0000-0003-0641-2500
Jennifer E AdairTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0003-4599-016X
Anirban BasuCHOICE Institute, School of Pharmacy, University of Washington, Seattle, WA, USA.
Rachel Bakyayita KyeyuneTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Lois BayiggaJoint Clinical Research Centre, Lubowa Estates, Kampala, Uganda.
Cissy Kityo-MutuluuzaJoint Clinical Research Centre, Lubowa Estates, Kampala, Uganda.
Ryan HansenCHOICE Institute, School of Pharmacy, University of Washington, Seattle, WA, USA.

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
WaNPRC Macaca nemestrina SPF Breeding ColonyU42OD011123 · OD · UNIVERSITY OF WASHINGTON · PI CHARLOTTE HOTCHKISS · 2012 to 2026
$34.4M
In vivo CRISPR engineering of B cells to produce anti-HIV broadly neutralizing antibodies using novel nanoparticlesR01AI167009 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Jennifer Eileen Adair, Justin J Taylor · 2022 to 2026
$4.2M
Targeted genetic engineering of B cells to induce protective antibody responses to viral pathogensR01AI158728 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Jennifer Eileen Adair, Justin J Taylor · 2022 to 2026
$3.8M
Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) INV002613Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) INV03398NIH HHS P51 OD010425NIH HHS U42 OD011123U.S. Department of Health & Human Services | National Institutes of Health (NIH) P51OD010425U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI158728U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI167009U.S. Department of Health & Human Services | National Institutes of Health (NIH) U42OD011123
6 · The paper itself

Abstract

Blood stem cell gene therapy to treat hemoglobinopathies is beginning to transform health for small numbers of patients in the U.S. and Europe, where these conditions qualify as rare diseases. Yet hemoglobinopathies are common globally, disproportionately affecting low- and middle-income countries (LMICs), creating an ethical imperative to ensure access where disease burden is greatest. Gene therapy could have blockbuster drug potential if distributable to these regions, but cost is a major barrier. Cost-effectiveness analysis (CEA) models are seldom adapted to low-income settings, where limited data and resources constrain efforts to contextualize high-income evidence. Here, we present a novel framework to evaluate high-income country authorized gene therapies in LMIC contexts. Uganda, where sickle cell disease (SCD) imposes a major burden and no curative therapies are available, is the test case. We evaluate cost-effectiveness of gene therapy for adolescents and adults with SCD in Uganda, adapting U.S. evidence to local economic conditions. Using a three-state Markov model to estimate lifetime costs of standard-of-care in Uganda, two U.S.-based CEA models were adapted using scaling factors and applied to two authorized gene therapies for SCD, Lyfgenia™ (lovo-cel) and Casgevy® (exa-cel), assuming biologically consistent efficacy across populations. Incremental cost-effectiveness ratios (ICERs) were calculated from healthcare and societal perspectives, with internationally accepted gross domestic product-based thresholds. This study demonstrates that Casgevy could be cost-effective in Uganda at a scaled cost when societal benefits are considered. This framework enables CEAs for emerging therapies where local clinical trial data are limited, supporting local decision-makers, global funders, and manufacturers in advancing equitable access to transformative therapies in LMICs.

Indexed as

Anemia, Sickle CellGenetic TherapyAdolescentAdultCost-Benefit AnalysisCost-Effectiveness AnalysisHumansUganda

Identifiers

PMID41748788
PMCPMC13173469

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.