GuidelineClinical and translational science2021
Standardized Data Structures in Rare Diseases: CDISC User Guides for Duchenne Muscular Dystrophy and Huntington's Disease.
Guideline in Clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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Who cites it
12 citing papers in PubMed.
- Characteristics of long-term follow-up studies for gene therapies registered on ClinicalTrials.gov.Gene therapy · 2026Article
- General Commentary: From hospital exemption to evidence: a statistical framework for leveraging real-world data.Frontiers in immunology · 2026Article
- RareLink: scalable REDCap-based framework for rare disease interoperability linking international registries to FHIR and Phenopackets.NPJ genomic medicine · 2025Article
- An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets.Scientific data · 2025Article
- Addressing the need for standardization of symptomatic medication documentation in Parkinson's disease clinical research: A call to action.Journal of Parkinson's disease · 2025Review
- Fine-tuning large language models for rare disease concept normalization.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned.Orphanet journal of rare diseases · 2024Article
- Fine-tuning Large Language Models for Rare Disease Concept Normalization.bioRxiv : the preprint server for biology · 2024Article
- Scoping review of the recommendations and guidance for improving the quality of rare disease registries.Orphanet journal of rare diseases · 2024Article
- Clinical Data Interchange Standards in Clinical Trials on Alzheimer's Disease.Psychiatry investigation · 2022Article
- Recommendations to Optimize the Use of Volumetric MRI in Huntington's Disease Clinical Trials.Frontiers in neurology · 2021Review
- Advancing rare disease measurement through the Rare Disease Clinical Outcome Assessment Consortium.Therapeutic advances in rare diseaseReview
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Interest in drug development for rare diseases has expanded dramatically since the Orphan Drug Act was passed in 1983, with 40% of new drug approvals in 2019 targeting orphan indications. However, limited quantitative understanding of natural history and disease progression hinders progress and increases the risks associated with rare disease drug development. Use of international data standards can assist in data harmonization and enable data exchange, integration into larger datasets, and a quantitative understanding of disease natural history. The US Food and Drug Administration (FDA) requires the use of Clinical Data Interchange Consortium (CDISC) Standards in new drug submissions to help the agency efficiently and effectively receive, process, review, and archive submissions, as well as to help integrate data to answer research questions. Such databases have been at the core of biomarker qualification efforts and fit-for-purpose models endorsed by the regulators. We describe the development of CDISC therapeutic area user guides for Duchenne muscular dystrophy and Huntington's disease through Critical Path Institute consortia. These guides describe formalized data structures and controlled terminology to map and integrate data from different sources. This will result in increased standardization of data collection and allow integration and comparison of data from multiple studies. Integration of multiple data sets enables a quantitative understanding of disease progression, which can help overcome common challenges in clinical trial design in these and other rare diseases. Ultimately, clinical data standardization will lead to a faster path to regulatory approval of urgently needed new therapies for patients.
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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.