ArticleFrontiers in pharmacology2022
Generating Evidence from Expanded Access Use of Rare Disease Medicines: Challenges and Recommendations.
Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Factors influencing pharmaceutical companies' decisions to pursue compassionate use programs in the EU: a qualitative study in The Netherlands.Journal of pharmaceutical policy and practice · 2026Article
- Digital health technology use in clinical trials of rare diseases: a systematic review.Communications medicine · 2025Article
- Augmenting Treatment Arms With External Data Through Propensity-Score Weighted Power Priors: An Application in Expanded Access.Statistics in medicine · 2025Article
- Efficacy and safety of compassionate use for rare diseases: a scoping review from 1991 to 2022.Orphanet journal of rare diseases · 2023Article
- Journey from an Enabler to a Strategic Leader: Integration of the Medical Affairs Function in ESG Initiatives and Values.Pharmaceutical medicine · 2023Article
- Navigating the Expanded Access Pathway to Investigational Drugs as an Academic Oncologist.JAMA network open · 2023Article
- Applying real-world data from expanded-access ("compassionate use") patients to drug development.Journal of clinical and translational science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with rare diseases often have limited or no options for approved treatments or participation in clinical trials. In such cases, expanded access (or "compassionate use") provides a potential means of accessing unapproved investigational medicines. It is also possible to capture and analyze clinical data from such use, but doing so is controversial. In this perspective, we offer examples of evidence derived from expanded access programs for rare diseases to illustrate its potential value to the decision-making of regulators and payers in the European Union and the United States. We discuss ethical and regulatory aspects to the use of expanded access data, with a focus on rare disease medicines. The heterogeneous approach to expanded access among countries within the European Union leaves uncertainties to what extent data can be collected and analyzed. We recommend the issuance of new guidance on data collection during expanded access, harmonization of European pathways, and an update of existing European compassionate use guidance. We hereby aim to clarify the supportive role of expanded access in evidence generation. Harmonization across Europe of expanded access regulations could reduce manufacturer burdens, improve patient access, and yield better data. These changes would better balance the need to generate quality evidence with the desire for pre-approval access to investigational medicine.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.