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Record W4407264867 · doi:10.1016/j.jcyt.2025.01.016

International Society for Cell & Gene Therapy Expanded Access Working Group position paper: key considerations to support equitable and ethical expanded access to investigational cell- and gene-based interventions

2025· article· en· W4407264867 on OpenAlexaff
Elena Maryamchik, Laertis Ikonomou, Beth E. Roxland, Felix Grignon, Bruce L. Levine, Bambi Grilley

Bibliographic record

VenueCytotherapy · 2025
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsInternational Society for Cellular Therapy
FundersInstitut des Sciences du Cerveau de Toulouse
KeywordsPsychological interventionPosition paperEquity (law)MedicinePolitical scienceNursingPathology

Abstract

fetched live from OpenAlex

This position paper reviews the Expanded Access pathway for cell and gene therapies, examining its critical role at the nexus of patient need, regulatory frameworks, and scientific advancement. Spearheaded by the International Society for Cell & Gene Therapy's Expanded Access Working Group, it explores how investigational therapies are accessed outside of clinical trials for patients with serious or life-threatening conditions when no approved alternatives exist. Access to cell and gene therapy products are of specific interest to patients because many times the products are bespoke, being used to treat serious and/or incurable conditions, and are potentially curative. As the field of cell and gene therapy rapidly progresses, healthcare professionals face mounting challenges in navigating the balance between access and oversight. Key considerations include transparent communication with patients, robust data reporting, and a discussion of cost recovery models and their implications for long-term commercialization strategies. Equity and inclusivity are central themes, highlighting the need to design pathways that are accessible to diverse patient populations while upholding high scientific and ethical standards. This position paper is presented as a resource for clinicians, researchers, and policymakers navigating the evolving landscape of investigational cell and gene therapies. It emphasizes the importance of ethical frameworks and equitable practices in delivering transformative treatments to patients in need.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.404
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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