Evidence map›Paper›PMID 37131052›Full record

ReviewJournal of pharmacokinetics and pharmacodynamics2023

The future of rare disease drug development: the rare disease cures accelerator data analytics platform (RDCA-DAP).

Jeffrey S Barrett, Alexandre Betourne, Ramona L Walls, Kara Lasater, Scott Russell, Amanda Borens, Shlok Rohatagi, Will Roddy

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of pharmacokinetics and pharmacodynamics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.9field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Rare Disease Drug Repurposing.JAMA network open · 2025
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. The Precompetitive Space for Drug or Vaccine Development: What Does It Look Like Now and What Could It Look Like in the Future?The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2023
    Article
  15. Review
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

8 authors at 2 institutions in 2 countries.

Jeffrey S BarrettAridhia Digital Research Environment, Glasgow, UK. barrett@aridhia.com.ORCID 0000-0003-0879-1743
Alexandre BetourneCritical Path Institute, Tucson, AZ, USA.
Ramona L WallsCritical Path Institute, Tucson, AZ, USA.ORCID 0000-0001-8815-0078
Kara LasaterAridhia Digital Research Environment, Glasgow, UK.ORCID 0000-0002-5403-1254
Scott RussellAridhia Digital Research Environment, Glasgow, UK.
Amanda BorensAridhia Digital Research Environment, Glasgow, UK.
Shlok RohatagiCritical Path Institute, Tucson, AZ, USA.
Will RoddyCritical Path Institute, Tucson, AZ, USA.
Aridhia (United Kingdom) · GBCritical Path Institute · US

Funding

FDA HHS U18 FD005320
6 · The paper itself

Abstract

Rare disease drug development is wrought with challenges not the least of which is access to the limited data currently available throughout the rare disease ecosystem where sharing of the available data is not guaranteed. Most pharmaceutical sponsors seeking to develop agents to treat rare diseases will initiate data landscaping efforts to identify various data sources that might be informative with respect to disease prevalence, patient selection and identification, disease progression and any data projecting likelihood of patient response to therapy including any genetic data. Such data are often difficult to come by for highly prevalent, mainstream disease populations let alone for the 8000 rare disease that make up the pooled patient population of rare disease patients. The future of rare disease drug development will hopefully rely on increased data sharing and collaboration among the entire rare disease ecosystem. One path to achieving this outcome has been the development of the rare disease cures accelerator, data analytics platform (RDCA-DAP) funded by the US FDA and operationalized by the Critical Path Institute. FDA intentions were clearly focused on improving the quality of rare disease regulatory applications by sponsors seeking to develop treatment options for various rare disease populations. As this initiative moves into its second year of operations it is envisioned that the increased connectivity to new and diverse data streams and tools will result in solutions that benefit the entire rare disease ecosystem and that the platform becomes a Collaboratory for engagement of this ecosystem that also includes patients and caregivers.

Indexed as

Rare DiseasesData ScienceDisease ProgressionHumansData analyticsDigital research environment (DRE)Drug developmentMIDDRare diseases

Identifiers

PMID37131052
PMCPMC10673974
OpenAlexW4367693917

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.