ArticleTherapeutic advances in rare disease
The Rare Diseases Clinical Research Network: a model for clinical trial readiness.
Article in Therapeutic advances in rare disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 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
16 citing papers in PubMed.
- Exploring barriers to clinical trial readiness among the myotonic dystrophy community: a mixed-methods study.Orphanet journal of rare diseases · 2026Article
- Collaboration as a Catalyst for Advancing Rare Disease Research: The Experience of the Rare Diseases Clinical Research Network.Clinical and translational science · 2026Review
- Implementation of a neuromuscular clinical trial network: a rare disease model for enhancing clinical trial readiness, capacity, and access in Canada.Orphanet journal of rare diseases · 2026Article
- The Potential of Digital Twins for Pediatric Rare Diseases.CPT: pharmacometrics & systems pharmacology · 2026Review
- Convolutional neural networks for automatic tuber segmentation and quantification of tuber burden in tuberous sclerosis complex.Epilepsia · 2026Article
- Development of national biobank for lysosomal storage disorders in India- a step towards advancing research and precision medicine.Orphanet journal of rare diseases · 2026Article
- International Precision Child Health Partnership (IPCHiP): an initiative to accelerate discovery and improve outcomes in rare pediatric disease.NPJ genomic medicine · 2025Review
- fNIRS as a biomarker for X-linked neurodevelopmental disorders: leveraging visual processing to assess brain function?Frontiers in neuroscience · 2025Article
- Clinical Research Network: JHCRN Infrastructure and Lessons Learned.Clinical and translational science · 2025Review
- Mapping the diagnostic odyssey of congenital disorders of glycosylation (CDG): insights from the community.Orphanet journal of rare diseases · 2024Article
- Diet and Nutrients in Rare Neurological Disorders: Biological, Biochemical, and Pathophysiological Evidence.Nutrients · 2024Review
- Fostering the international interoperability of clinical research networks to tackle undiagnosed and under-researched rare diseases.Frontiers in medicine · 2024Article
- Strengthening research networks: Insights from a clinical research network in Brazil.PloS one · 2024Article
- Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination.Frontiers in neurology · 2024Article
- Advancing rare disease measurement through the Rare Disease Clinical Outcome Assessment Consortium.Therapeutic advances in rare diseaseReview
- Enhancing and leveraging principal investigator and patient advocacy group collaboration in rare disease clinical research-meeting report from the rare Diseases Clinical Research Network.Therapeutic advances in rare diseaseReview
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The current road to developing treatments for rare diseases is often slow, expensive, and riddled with risk. Change is needed to improve the process, both in how we think about rare disease treatment development and the infrastructure we build to support ongoing science. The National Institutes of Health (NIH)-supported Rare Diseases Clinical Research Network (RDCRN) was established to advance the diagnosis, management, and treatment of rare diseases and to promote highly collaborative, multi-site, patient-centric, translational, and clinical research. The current iteration of the RDCRN intends to build upon and enhance successful approaches within the network while identifying innovative methods to fill gaps and address needs in the approach to the rare disease treatment development process through innovation, collaboration, and clinical trial readiness. Objective: The objective of this paper is to provide an overview of the productivity and influence of the RDCRN since it was first established 20 years ago. Design and methods: Using a suite of tools available to NIH staff that provides access to a comprehensive, curated, extensively linked data set of global grants, patents, publications, clinical trials, and FDA-approved drugs, a series of queries were executed that conducted bibliometric, co-author, and co-occurrence analysis. Results: The results demonstrate that the entire RDCRN consortia and network has been highly productive since its inception. They have produced 2763 high-quality publications that have been cited more than 100,000 times, expanded international networks, and contributed scientifically to eight FDA-approved treatments for rare diseases. Conclusion: The RDCRN program has successfully addressed some significant challenges while developing treatments for rare diseases. However, looking to the future and being agile in facing new challenges that arise as science progresses is important.
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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.