Evidence map›Paper›PMID 41477523›Full record

ArticleFrontiers in digital health2025

FAIR foundations of a novel indicator vault for non-communicable diseases in the European Union: feasibility study for effective contextualisation of indicators.

Iztok Štotl, Fabrizio Carinci, Stephen Fava, Astrid Lavens, Jana Lepiksone, Massimo Massi Benedetti, Tamara Poljičanin, Scott Cunningham, János Sándor, Nicholas Nicholson

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Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Iztok ŠtotlDepartment of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Fabrizio CarinciUnicamillus International Medical University, Rome, Italy.
Stephen FavaDepartment of Medicine, Mater Dei Hospital of Malta, Msida, Malta.
Astrid LavensHealth Services Research, Sciensano, Brussels, Belgium.
Jana LepiksoneDepartment of Research and Health Statistics, The Centre for Disease Prevention and Control, Riga, Latvia.
Massimo Massi BenedettiHub for International Health Research, Perugia, Italy.
Tamara PoljičaninZagreb County Health Center, Samobor, Croatia.
Scott CunninghamClinical Technology Centre, Level 7, Ninewells Hospital, Dundee, United Kingdom.
János SándorDepartment of Public Health and Epidemiology, School of Health Sciences, University of Debrecen, Debrecen, Hungary.
Nicholas NicholsonEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Comparing health indicators across the European Union (EU) is a challenging endeavour. A feasibility study was conducted to explore opportunities for improvement through the contextualisation of indicators for major non-communicable diseases (NCDs). We aimed to improve the usability and transparency of indicators in the domain of NCDs by describing the contextual information about the data from which they draw and the related data processes. In particular, we sought to illustrate how semantic linkage could be achieved to facilitate interoperability with other metadata models using FAIR data principles. Finally, we aimed to provide recommendations for the implementation of the proposed metadata model at the EU level. Methods: A number of expert group meetings were held between March 2023 and October 2024 to agree on the approach and related technologies to meet the standard requirements for the meaningful comparison of indicators across countries and regions of Europe in the domain of NCDs. Results: The Semantic Ontology-Labelled Indicator Contextualisation Integrative Taxonomy (SOLICIT) was selected as a suitable generic metadata model for contextualising indicators. In this work, we adapted the SOLICIT generic framework to the diabetes sub-domain and extended its applicability more generally across all NCDs. As a proof of concept, we present an example of how to adapt a diabetes indicator and its related contextualisation within SOLICIT. Conclusion: The accurate contextualisation of NCD indicators can substantially improve their use and comparability across national and regional boundaries. This study delivered a set of seven recommendations for implementation in three different areas: (a) contextualisation of common data elements and indicators (use of contextual information; common schema for semantic linkage), (b) generic contextualisation framework (adoption of the framework; use of SOLICIT), and (c) implementation at EU level (pilot test of the model on federated

Indexed as

EHDSFAIRhealth indicatorhealth indicator frameworkindicator contextualisationmetadatanon-communicable diseasesSOLICIT

Identifiers

PMID41477523
PMCPMC12750770

What Socratic 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 Socratic graph.