Evidence map›Paper›PMID 28190666›Full record

ArticleBlood cells, molecules & diseases2018

Design of a framework for the deployment of collaborative independent rare disease-centric registries: Gaucher disease registry model.

Matthew I Bellgard, Kathryn R Napier, Alan H Bittles, Jeffrey Szer, Sue Fletcher, Nikolajs Zeps, Adam A Hunter, Jack Goldblatt

Abstract read
In one paragraph

Article in Blood cells, molecules & diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Literature Review on Health Emigration in Rare Diseases-A Machine Learning Perspective.International journal of environmental research and public health · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

8 authors.

Matthew I BellgardCentre for Comparative Genomics, Murdoch University, Murdoch, Western Australia, Australia; Western Australian Neuroscience Research Institute, Nedlands, Western Australia, Australia; Convenor of the Australian Bioinformatics Facility, Bioplatforms Australia, Macquarie University, North Ryde, New South Wales, Australia. Electronic address: mbellgard@ccg.murdoch.edu.au.
Kathryn R NapierCentre for Comparative Genomics, Murdoch University, Murdoch, Western Australia, Australia. Electronic address: knapier@ccg.murdoch.edu.au.
Alan H BittlesCentre for Comparative Genomics, Murdoch University, Murdoch, Western Australia, Australia; School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia. Electronic address: abittles@ccg.murdoch.edu.au.
Jeffrey SzerClinical Haematology and Bone Marrow Transplant Service, Royal Melbourne Hospital, Parkville, Victoria, Australia. Electronic address: Jeff.Szer@mh.org.au.
Sue FletcherCentre for Comparative Genomics, Murdoch University, Murdoch, Western Australia, Australia; Western Australian Neuroscience Research Institute, Nedlands, Western Australia, Australia. Electronic address: sfletcher@ccg.murdoch.edu.au.
Nikolajs ZepsCentre for Comparative Genomics, Murdoch University, Murdoch, Western Australia, Australia. Electronic address: nzeps@ccg.murdoch.edu.au.
Adam A HunterCentre for Comparative Genomics, Murdoch University, Murdoch, Western Australia, Australia. Electronic address: ahunter@ccg.murdoch.edu.au.
Jack GoldblattGenetic Services & Familial Cancer Program of Western Australia, King Edward Memorial Hospital, Subiaco, Western Australia, Australia. Electronic address: Jack.Goldblatt@health.wa.gov.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orphan drug clinical trials often are adversely affected by a lack of high quality treatment efficacy data that can be reliably compared across large patient cohorts derived from multiple governmental and country jurisdictions. It is critical that these patient data be captured with limited corporate involvement. For some time, there have been calls to develop collaborative, non-proprietary, patient-centric registries for post-market surveillance of aspects related to orphan drug efficacy. There is an urgent need for the development and sustainable deployment of these 'independent' registries that can capture comprehensive clinical, genetic and therapeutic information on patients with rare diseases. We therefore extended an open-source registry platform, the Rare Disease Registry Framework (RDRF) to establish an Independent Rare Disease Registry (IRDR). We engaged with an established rare disease community for Gaucher disease to determine system requirements, methods of data capture, consent, and reporting. A non-proprietary IRDR model is presented that can serve as autonomous data repository, but more importantly ensures that the relevant data can be made available to appropriate stakeholders in a secure, timely and efficient manner to improve clinical decision-making and the lives of those with a rare disease.

Indexed as

RegistriesGaucher DiseaseHumansInternetRare DiseasesSearch EngineSoftwareGaucher diseaseIndependent Rare Disease RegistryOpen sourcePost-market surveillanceRare Disease Registry FrameworkWeb-based

Identifiers

PMID28190666
PMCPMC5729019

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.