Evidence map›Paper›PMID 33720747›Full record

ArticleJCO clinical cancer informatics2021

OSIRIS: A Minimum Data Set for Data Sharing and Interoperability in Oncology.

Julien Guérin, Yec'han Laizet, Vincent Le Texier, Laetitia Chanas, Bastien Rance, Florence Koeppel, François Lion, Sophie Gourgou, Anne-Laure Martin, Manuel Tejeda and 6 more

Open access · hybridAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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, 39 citations in OpenAlex.

  1. Review
  2. Article
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  4. Review
  5. Making the case for an International Childhood Cancer Data Partnership.Journal of the National Cancer Institute · 2025
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  12. Review
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  15. Review
  16. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  17. Observational
  18. Review
  19. 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

16 authors at 10 institutions in 1 country.

Julien GuérinDirection des Données, Institut Curie, Paris, France.ORCID 0000-0002-3024-8483
Yec'han LaizetBioinformatics and AI Unit, Institut Bergonié, Bordeaux, France.
Vincent Le TexierSynergie Lyon Cancer, Platform of Bioinformatics Gilles Thomas, Centre Léon Bérard, Lyon, France.ORCID 0000-0001-5093-159X
Laetitia ChanasDirection des Données, Institut Curie, Paris, France.
Bastien RanceINSERM, Centre de Recherche des Cordeliers, UMRS 1138, Paris Descartes, Sorbonne Paris Cité University, Paris, France.
Florence KoeppelDirection de la Recherche, Gustave Roussy Cancer Campus, Villejuif, France.
François LionDirection de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy Cancer Campus, Villejuif, France.
Sophie GourgouInstitut du cancer de Montpellier, Univ Montpellier, Montpellier, France.
Anne-Laure MartinUnicancer, Paris, France.ORCID 0000-0002-9302-8576
Manuel TejedaPôle Data-DSIO, Institut Paoli-Calmettes, Marseille, France.
Maud ToulmondeDepartment of Medical Oncology, Institut Bergonie, Bordeaux, Aquitaine, France.
Stéphanie CoxDepartment of Translational Research and Innovation, Centre Léon Bérard, Lyon, France.
Elisabeth HessDirection de la Recherche Biomédicale, Centre de Recherche, Institut Curie, Paris, France.
Marina Rousseau-TsangarisDepartment of Translational Research and Innovation, Centre Léon Bérard, Lyon, France.
Vianney JouhetService d'Information Médicale-IAM Unit, Pôle de Santé Publique, CHU de Bordeaux, Bordeaux, France.
Pierre SaintignyDepartment of Translational Research and Innovation, Centre Léon Bérard, Lyon, France.ORCID 0000-0002-8090-9323
Centre Léon Bérard · FRInserm · FRInstitut Curie · FRInstitut Gustave Roussy · FRDélégation Paris 5 · FRInstitut Bergonié · FRInstitut Pprime · FRUniCancer Group · FRUniversité Claude Bernard Lyon 1 · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMany institutions throughout the world have launched precision medicine initiatives in oncology, and a large amount of clinical and genomic data is being produced. Although there have been attempts at data sharing with the community, initiatives are still limited. In this context, a French task force composed of Integrated Cancer Research Sites (SIRICs), comprehensive cancer centers from the Unicancer network (one of Europe's largest cancer research organization), and university hospitals launched an initiative to improve and accelerate retrospective and prospective clinical and genomic data sharing in oncology. MATERIALS AND

methodsFor 5 years, the OSIRIS group has worked on structuring data and identifying technical solutions for collecting and sharing them. The group used a multidisciplinary approach that included weekly scientific and technical meetings over several months to foster a national consensus on a minimal data set.

resultsThe resulting OSIRIS set and event-based data model, which is able to capture the disease course, was built with 67 clinical and 65 omics items. The group made it compatible with the HL7 Fast Healthcare Interoperability Resources (FHIR) format to maximize interoperability. The OSIRIS set was reviewed, approved by a National Plan Strategic Committee, and freely released to the community. A proof-of-concept study was carried out to put the OSIRIS set and Common Data Model into practice using a cohort of 300 patients.

conclusionUsing a national and bottom-up approach, the OSIRIS group has defined a model including a minimal set of clinical and genomic data that can be used to accelerate data sharing produced in oncology. The model relies on clear and formally defined terminologies and, as such, may also benefit the larger international community.

Indexed as

GenomicsInformation DisseminationHumansMedical OncologyProspective StudiesRetrospective Studies

Identifiers

PMID33720747
PMCPMC8140800
OpenAlexW3139441155

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.