Evidence map›Paper›PMID 38052810›Full record

ArticleScientific data2023

Chronic disease outcome metadata from German observational studies - public availability and FAIR principles.

Carolina Schwedhelm, Katharina Nimptsch, Wolfgang Ahrens, Hans Martin Hasselhorn, Karl-Heinz Jöckel, Verena Katzke, Alexander Kluttig, Birgit Linkohr, Rafael Mikolajczyk, Ute Nöthlings and 8 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Carolina SchwedhelmMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, 13125, Germany. carolina.schwedhelm@mdc-berlin.de.ORCID 0000-0001-7617-6641
Katharina NimptschMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, 13125, Germany.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, 28359, Germany.
Hans Martin HasselhornDepartment of Occupational Health Science, University of Wuppertal, Wuppertal, 42119, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, 45122, Germany.
Verena KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
Alexander KluttigInstitute of Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), 06112, Germany.
Birgit LinkohrInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany.
Rafael MikolajczykInstitute of Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), 06112, Germany.
Ute NöthlingsInstitute of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Bonn, 53115, Germany.
Ines PerrarInstitute of Nutrition and Food Sciences, Nutritional Epidemiology, University of Bonn, Bonn, 53115, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany.
Carsten O SchmidtInstitute for Community Medicine, University Medicine Greifswald, Greifswald, 17489, Germany.
Börge SchmidtInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, 45122, Germany.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, 14558, Germany.ORCID 0000-0002-0830-5277
Andreas StangInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, 45122, Germany.
Hajo ZeebLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, 28359, Germany.
Tobias PischonMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, 13125, Germany.

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 442326535
6 · The paper itself

Abstract

Metadata from epidemiological studies, including chronic disease outcome metadata (CDOM), are important to be findable to allow interpretability and reusability. We propose a comprehensive metadata schema and used it to assess public availability and findability of CDOM from German population-based observational studies participating in the consortium National Research Data Infrastructure for Personal Health Data (NFDI4Health). Additionally, principal investigators from the included studies completed a checklist evaluating consistency with FAIR principles (Findability, Accessibility, Interoperability, Reusability) within their studies. Overall, six of sixteen studies had complete publicly available CDOM. The most frequent CDOM source was scientific publications and the most frequently missing metadata were availability of codes of the International Classification of Diseases, Tenth Revision (ICD-10). Principal investigators' main perceived barriers for consistency with FAIR principles were limited human and financial resources. Our results reveal that CDOM from German population-based studies have incomplete availability and limited findability. There is a need to make CDOM publicly available in searchable platforms or metadata catalogues to improve their FAIRness, which requires human and financial resources.

Indexed as

Chronic DiseaseHumansMetadataPublications

Identifiers

PMID38052810
PMCPMC10698176

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.