Evidence map›Paper›PMID 25029978›Full record

ReviewJournal of general internal medicine2014

RD-Connect: an integrated platform connecting databases, registries, biobanks and clinical bioinformatics for rare disease research.

Rachel Thompson, Louise Johnston, Domenica Taruscio, Lucia Monaco, Christophe Béroud, Ivo G Gut, Mats G Hansson, Peter-Bram A 't Hoen, George P Patrinos, Hugh Dawkins and 9 more

Abstract readReview
In one paragraph

Review in Journal of general internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 2 pooled it
–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

90 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Leveraging clinical intuition to improve accuracy of phenotype-driven prioritization.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
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30 more citing papers are in PubMed but not listed here.

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

19 authors.

Rachel ThompsonInstitute of Genetic Medicine, MRC Centre for Neuromuscular Diseases, Newcastle University, London, UK.
Louise Johnston
Domenica Taruscio
Lucia Monaco
Christophe Béroud
Ivo G Gut
Mats G Hansson
Peter-Bram A 't Hoen
George P Patrinos
Hugh Dawkins
Monica Ensini
Kurt Zatloukal
David Koubi
Emma Heslop
Justin E Paschall
Manuel Posada
Peter N Robinson
Kate Bushby
Hanns Lochmüller

Funding

Medical Research Council MR/K000608/1
6 · The paper itself

Abstract

Research into rare diseases is typically fragmented by data type and disease. Individual efforts often have poor interoperability and do not systematically connect data across clinical phenotype, genomic data, biomaterial availability, and research/trial data sets. Such data must be linked at both an individual-patient and whole-cohort level to enable researchers to gain a complete view of their disease and patient population of interest. Data access and authorization procedures are required to allow researchers in multiple institutions to securely compare results and gain new insights. Funded by the European Union's Seventh Framework Programme under the International Rare Diseases Research Consortium (IRDiRC), RD-Connect is a global infrastructure project initiated in November 2012 that links genomic data with registries, biobanks, and clinical bioinformatics tools to produce a central research resource for rare diseases.

Indexed as

Biological Specimen BanksComputational BiologyDatabases, FactualHealth Information ExchangeRare DiseasesRegistriesHumans

Identifiers

PMID25029978
PMCPMC4124112

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.