Evidence map›Paper›PMID 35668316›Full record

ArticleTherapeutic innovation & regulatory science2022

Innovations in Therapy Development for Rare Diseases Through the Rare Disease Cures Accelerator-Data and Analytics Platform.

Jane Larkindale, Alexandre Betourne, Amanda Borens, Vanessa Boulanger, Vickie Theurer Crider, Pamela Gavin, Jackson Burton, Richard Liwski, Klaus Romero, Ramona Walls and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Therapeutic innovation & regulatory science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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
  5. Article
  6. Article
  7. Article
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

11 authors at 4 institutions in 1 country.

Jane LarkindaleRare Disease Cures Accelerator - Data Analysis Platform (RDCA-DAP), Tucson, USA.
Alexandre BetourneRare Disease Cures Accelerator - Data Analysis Platform (RDCA-DAP), Tucson, USA.
Amanda BorensData Collaboration Center (DCC), Tucson, USA.
Vanessa BoulangerNational Organization for Rare Disorders (NORD), Danbury, CT, USA.
Vickie Theurer CriderData Collaboration Center (DCC), Tucson, USA.
Pamela GavinNational Organization for Rare Disorders (NORD), Danbury, CT, USA.
Jackson BurtonQuantitative Medicine (QM) Groups, Critical Path Institute, Tucson, AZ, USA.
Richard LiwskiData Collaboration Center (DCC), Tucson, USA.
Klaus RomeroQuantitative Medicine (QM) Groups, Critical Path Institute, Tucson, AZ, USA.
Ramona WallsData Collaboration Center (DCC), Tucson, USA.
Jeffrey S BarrettRare Disease Cures Accelerator - Data Analysis Platform (RDCA-DAP), Tucson, USA. jbarrett@c-path.org.ORCID 0000-0003-0879-1743
Community Science and Data Center · USCritical Path Institute · USNational Organization for Rare Disorders · USSLAC National Accelerator Laboratory · US

Funding

Critical Path to Public Private PartnershipsU18FD005320 · FDA · CRITICAL PATH INSTITUTE · PI Klaus Romero · 2014 to 2026
$127.1M
FDA HHS 2U18FD005320FDA HHS U18 FD005320
6 · The paper itself

Abstract

Rare diseases impact the lives of an estimated 350 million people worldwide, and yet about 90% of rare diseases remain without an approved treatment. New technologies have become available, such as gene and oligonucleotide therapies, that offer great promise in treating rare diseases. However, progress toward the development of therapies to treat these diseases is hampered by a limited understanding of the course of each rare disease, how changes in disease progression occur and can be effectively measured over time, and challenges in designing and running clinical trials in diseases where the natural history is poorly characterized. Data that could be used to characterize the natural history of each disease has often been collected in various ways, including in electronic health records, patient-report registries, clinical natural history studies, and in past clinical trials. However, each data source contains a limited number of subjects and different data elements, and data is frequently kept proprietary in the hands of the study sponsor rather than shared widely across the rare disease community. The Rare Disease Cures Accelerator-Data and Analytics Platform (RDCA-DAP) is an FDA-funded effort to overcome these persistent challenges. By aggregating data across all rare diseases and making that data available to the community to support understanding of rare disease natural history and inform drug development, RDCA-DAP aims to accelerate the regulatory approval of new therapies. RDCA-DAP curates, standardizes, and tags data across rare disease datasets to make it findable within the database, and contains a built-in analytics platform to help visualize, interpret, and use it to support drug development. RDCA-DAP will coordinate data and tool resources across non-profit, commercial, and for-profit entities to serve a diverse array of rare disease stakeholders that includes academic researchers, drug developers, FDA reviewers and of course patients and their caregivers. Drug development programs utilizing the RDCA-DAP will be able to leverage existing data to support their efforts and reach definitive decisions on the efficacy of their therapeutics more efficiently and more rapidly than ever.

Indexed as

Drug DevelopmentRare DiseasesDatabases, FactualHumansRegistriesAnalysis platformData sharingRare disease

Identifiers

PMID35668316
OpenAlexW4281637798

What OpenQuestion holds

Textmetadata
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.