Evidence map›Paper›PMID 29214177›Full record

ArticleBioMed research international2017

Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer.

Pedro Sernadela, Lorena González-Castro, Claudio Carta, Eelke van der Horst, Pedro Lopes, Rajaram Kaliyaperumal, Mark Thompson, Rachel Thompson, Núria Queralt-Rosinach, Estrella Lopez and 12 more

Abstract read
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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  16. Interoperability of population-based patient registries.Journal of biomedical informatics: X · 2020
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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

22 authors.

Pedro SernadelaUniversity of Aveiro, DETI/IEETA, Aveiro, Portugal.ORCID 0000-0002-3306-0195
Lorena González-CastroGalician Research and Development Center in Advanced Telecommunications (GRADIANT), Pontevedra, Spain.
Claudio CartaNational Center for Rare Diseases, Istituto Superiore di Sanità, Rome, Italy.
Eelke van der HorstLeiden University Medical Centre (LUMC), Leiden, Netherlands.
Pedro LopesUniversity of Aveiro, DETI/IEETA, Aveiro, Portugal.
Rajaram KaliyaperumalLeiden University Medical Centre (LUMC), Leiden, Netherlands.
Mark ThompsonLeiden University Medical Centre (LUMC), Leiden, Netherlands.
Rachel ThompsonInternational Centre for Life, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Núria Queralt-RosinachResearch Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Estrella LopezInstitute of Rare Diseases Research, ISCIII, SpainRDR and CIBERER, Madrid, Spain.
Libby WoodJohn Walton Muscular Dystrophy Research Centre, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Agata RobertsonJohn Walton Muscular Dystrophy Research Centre, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Claudia LamannaThe European Huntington's Disease Network, University Hospital of Ulm, Ulm, Germany.
Mette GillingThe European Huntington's Disease Network, University Hospital of Ulm, Ulm, Germany.
Michael OrthDepartment of Neurology, University Hospital of Ulm, Ulm, Germany.
Roxana Merino-MartinezKarolinska Institutet, Solna, Sweden.
Manuel PosadaInstitute of Rare Diseases Research, ISCIII, SpainRDR and CIBERER, Madrid, Spain.ORCID 0000-0002-8372-4180
Domenica TaruscioNational Center for Rare Diseases, Istituto Superiore di Sanità, Rome, Italy.
Hanns LochmüllerJohn Walton Muscular Dystrophy Research Centre, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Peter RobinsonInstitute of Medical Genetics, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-0736-9199
Marco RoosLeiden University Medical Centre (LUMC), Leiden, Netherlands.ORCID 0000-0002-8691-772X
José Luís OliveiraUniversity of Aveiro, DETI/IEETA, Aveiro, Portugal.ORCID 0000-0002-6672-6176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient registries are an essential tool to increase current knowledge regarding rare diseases. Understanding these data is a vital step to improve patient treatments and to create the most adequate tools for personalized medicine. However, the growing number of disease-specific patient registries brings also new technical challenges. Usually, these systems are developed as closed data silos, with independent formats and models, lacking comprehensive mechanisms to enable data sharing. To tackle these challenges, we developed a Semantic Web based solution that allows connecting distributed and heterogeneous registries, enabling the federation of knowledge between multiple independent environments. This semantic layer creates a holistic view over a set of anonymised registries, supporting semantic data representation, integrated access, and querying. The implemented system gave us the opportunity to answer challenging questions across disperse rare disease patient registries. The interconnection between those registries using Semantic Web technologies benefits our final solution in a way that we can query single or multiple instances according to our needs. The outcome is a unique semantic layer, connecting miscellaneous registries and delivering a lightweight holistic perspective over the wealth of knowledge stemming from linked rare disease patient registries.

Indexed as

Computational BiologyDatabase Management SystemsDatabases, FactualHumansInformation DisseminationInformation Storage and RetrievalInternetRare DiseasesRegistriesSemantic WebSoftware

Identifiers

PMID29214177
PMCPMC5682045

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.