Evidence map›Paper›PMID 41964091›Full record

ArticleOrphanet journal of rare diseases2026

Increasing access to CAR-T therapy: a case study of an academic hospital's alternative innovation model.

Adrián Alonso Ruiz, Erika Shinabargar, Iulia Slovenski, Kaitlin Large, Marcela Vieira, Suerie Moon

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

6 authors.

Adrián Alonso RuizGlobal Health Centre, Graduate Institute of International and Development Studies, Chem. Eugène-Rigot 2, Genève, 1202, Switzerland. adrian.alonsor@estudiante.uam.es.ORCID http://orcid.org/0000-0002-8670-0096
Erika ShinabargarGlobal Health Centre, Graduate Institute of International and Development Studies, Chem. Eugène-Rigot 2, Genève, 1202, Switzerland.
Iulia SlovenskiGlobal Health Centre, Graduate Institute of International and Development Studies, Chem. Eugène-Rigot 2, Genève, 1202, Switzerland.
Kaitlin LargeGlobal Health Centre, Graduate Institute of International and Development Studies, Chem. Eugène-Rigot 2, Genève, 1202, Switzerland.
Marcela VieiraGlobal Health Centre, Graduate Institute of International and Development Studies, Chem. Eugène-Rigot 2, Genève, 1202, Switzerland.
Suerie MoonGlobal Health Centre, Graduate Institute of International and Development Studies, Chem. Eugène-Rigot 2, Genève, 1202, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 179842
6 · The paper itself

Abstract

backgroundIncreasing costs of drugs for rare diseases have raised concerns about health systems’ sustainability and equitable access to these therapies. Newer and highly effective orphan drugs, such as Chimeric Antigen Receptor T-Cell (CAR-T) therapies, highlight the need for alternative innovation models that can offer greater affordability and accessibility. This case study examines Hospital Clínic Barcelona’s (HCB) alternative innovation model to develop ARI-0001 (varnimcabtagene autoleucel), a novel CAR-T therapy for certain forms of leukemia, at a price two-thirds lower than comparable therapies from the pharmaceutical industry.

methodsWe conducted background research, and performed twenty-one semi-structured interviews with HCB staff, representatives of regional Health Departments, the Spanish Ministry of Health and regulatory agency, academics, civil society and patient groups. We used a framework drawing on concepts from complex adaptive systems, incorporating the resources used (i.e., funding, knowledge, and manufacturing capacity), the practices implemented (i.e., knowledge management, access practices and transparency), and the rules and norms that shaped HCB’s interactions with other actors in the system. We then identified the concept of institutional logics as well-suited to explain how HCB’s model overcame various barriers.

resultsHCB’s model builds from three competing institutional logics – healthcare, academic and industrial – while also addressing each logic’s weaknesses. The healthcare logic shaped HCB’s affordable pricing of ARI-0001, but also posed organizational challenges. The academic logic drove HCB’s willingness to share knowledge and technology with peers, but posed barriers to fund late-stage clinical trials and regulatory processes. Lastly, HCB adopted an industrial logic by identifying in-house regulatory expertise and developing partnerships for production. The hospital exemption clause, a European regulatory pathway that allows hospitals to develop and produce treatments under certain conditions, allowed HCB to span the boundaries of the three competing logics.

conclusionsOur findings underscore the potential of academic hospitals to develop more affordable advanced therapies, the importance of conducive regulatory frameworks, and the challenges that academic hospitals face to expand this model. Through increased regulatory and financial support to academic hospitals, strengthened coordination, and public funding with requirements for access, this model could achieve innovation with affordability in a cutting-edge technological area.

Indexed as

Immunotherapy, AdoptiveReceptors, Chimeric AntigenHealth Services AccessibilityHumansRare DiseasesReceptors, Chimeric AntigenAcademic developmentAccess to medicinesAcute lymphoblastic leukemiaAdvanced therapiesAdvance therapy medicinal productsAlternative innovation modelsCAR-T therapiesHospital exemptionOrphan drugsPharmaceutical innovation

Identifiers

PMID41964091
PMCPMC13248320

What OpenQuestion holds

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LicenceCC BY
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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.