Evidence map›Paper›PMID 35594066›Full record

ArticleJMIR medical informatics2022

Domain-Specific Common Data Elements for Rare Disease Registration: Conceptual Approach of a European Joint Initiative Toward Semantic Interoperability in Rare Disease Research.

Haitham Abaza, Dennis Kadioglu, Simona Martin, Andri Papadopoulou, Bruna Dos Santos Vieira, Franz Schaefer, Holger Storf

Abstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

7 authors.

Haitham AbazaInstitute of Medical Informatics, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany.ORCID https://orcid.org/0000-0003-0155-1149
Dennis KadiogluInstitute of Medical Informatics, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany.ORCID https://orcid.org/0000-0002-1561-4924
Simona MartinEuropean Commission, Joint Research Centre, Ispra, Italy.ORCID https://orcid.org/0000-0001-8126-4865
Andri PapadopoulouEuropean Commission, Joint Research Centre, Ispra, Italy.ORCID https://orcid.org/0000-0001-6664-7091
Bruna Dos Santos VieiraDepartment of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands.ORCID https://orcid.org/0000-0001-7893-0505
Franz SchaeferDivision of Pediatric Nephrology, Center for Pediatrics and Adolescent Medicine, Heidelberg, Germany.ORCID https://orcid.org/0000-0001-7564-9937
Holger StorfInstitute of Medical Informatics, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany.ORCID https://orcid.org/0000-0001-8126-9535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith hundreds of registries across Europe, rare diseases (RDs) suffer from fragmented knowledge, expertise, and research. A joint initiative of the European Commission Joint Research Center and its European Platform on Rare Disease Registration (EU RD Platform), the European Reference Networks (ERNs), and the European Joint Programme on Rare Diseases (EJP RD) was launched in 2020. The purpose was to extend the set of common data elements (CDEs) for RD registration by defining domain-specific CDEs (DCDEs).

objectiveThis study aims to introduce and assess the feasibility of the concept of a joint initiative that unites the efforts of the European Platform on Rare Disease Registration Platform, ERNs, and European Joint Programme on Rare Diseases toward extending RD CDEs, aiming to improve the semantic interoperability of RD registries and enhance the quality of RD research.

methodsA joint conference was conducted in December 2020. All 24 ERNs were invited. Before the conference, a survey was communicated to all ERNs, proposing 18 medical domains and requesting them to identify highly relevant choices. After the conference, a 3-phase plan for defining and modeling DCDEs was drafted. Expected outcomes included harmonized lists of DCDEs.

resultsAll ERNs attended the conference. The survey results indicated that genetic, congenital, pediatric, and cancer were the most overlapping domains. Accordingly, the proposed list was reorganized into 10 domain groups and recommunicated to all ERNs, aiming at a smaller number of domains.

conclusionsThe approach described for defining DCDEs appears to be feasible. However, it remains dynamic and should be repeated regularly based on arising research needs.

Indexed as

common data elementsdata collectiondata discoverabilityEJP RDERNsEU RD PlatformFAIRificationhealth and research platformshealth domainshealth infrastructurehealth platformshealth registriesindustrymedical informaticsrare diseasessemantic interoperabilitystandardization

Identifiers

PMID35594066
PMCPMC9166638

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Registered trials

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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.