Evidence map›Paper›PMID 38397680›Full record

ArticleInternational journal of environmental research and public health2024

Consore: A Powerful Federated Data Mining Tool Driving a French Research Network to Accelerate Cancer Research.

Julien Guérin, Amine Nahid, Louis Tassy, Marc Deloger, François Bocquet, Simon Thézenas, Emmanuel Desandes, Marie-Cécile Le Deley, Xavier Durando, Anne Jaffré and 13 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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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

23 authors.

Julien GuérinInstitut Curie, 75005 Paris, France.ORCID 0000-0002-3024-8483
Amine NahidCoexya, 69370 Saint-Didier-au-Mont-d'Or, France.
Louis TassyInstitut Paoli-Calmettes, 13009 Marseille, France.
Marc DelogerGustave Roussy, 94805 Villejuif, France.
François BocquetData Factory & Analytics Department, Institut de Cancérologie de l'Ouest, 44805 Nantes-Angers, France.
Simon ThézenasInstitut Régional du Cancer de Montpellier, 34090 Montpellier, France.ORCID 0000-0003-2472-1219
Emmanuel DesandesInstitut de Cancérologie de Lorraine, 54519 Nancy, France.ORCID 0000-0002-7842-2858
Marie-Cécile Le DeleyCentre Oscar Lambret, 59000 Lille, France.ORCID 0000-0002-2946-4592
Xavier DurandoCentre Jean Perrin, 63011 Clermont Ferrand, France.ORCID 0000-0001-6035-3172
Anne JaffréInstitut Bergonié, 33076 Bordeaux, France.
Ikram Es-SaadCentre Georges Francois Leclerc, 21000 Dijon, France.
Hugo CrochetCentre Léon Bérard, 69008 Lyon, France.ORCID 0000-0002-9800-0986
Marie Le MorvanInstitut Paoli-Calmettes, 13009 Marseille, France.
François LionGustave Roussy, 94805 Villejuif, France.
Judith RaimbourgData Factory & Analytics Department, Institut de Cancérologie de l'Ouest, 44805 Nantes-Angers, France.
Oussama KhayInstitut de Cancérologie de Lorraine, 54519 Nancy, France.
Franck CraynestCentre Oscar Lambret, 59000 Lille, France.
Alexia GiroCentre Jean Perrin, 63011 Clermont Ferrand, France.
Yec'han LaizetInstitut Bergonié, 33076 Bordeaux, France.
Aurélie BertautCentre Georges Francois Leclerc, 21000 Dijon, France.ORCID 0000-0002-7934-9509
Frederik JolyCoexya, 69370 Saint-Didier-au-Mont-d'Or, France.
Alain LivartowskiInstitut Curie, 75005 Paris, France.
Pierre HeudelCentre Léon Bérard, 69008 Lyon, France.ORCID 0000-0002-2155-549X

Funding

Agence Nationale de la Recherche ANR-10-EQPX-03French National Cancer Institute Inca-DGOS-4654French National Cancer Institute INCa-DGOS-Inserm_12554
6 · The paper itself

Abstract

backgroundReal-world data (RWD) related to the health status and care of cancer patients reflect the ongoing medical practice, and their analysis yields essential real-world evidence. Advanced information technologies are vital for their collection, qualification, and reuse in research projects.

methodsUNICANCER, the French federation of comprehensive cancer centres, has innovated a unique research network: Consore. This potent federated tool enables the analysis of data from millions of cancer patients across eleven French hospitals.

resultsCurrently operational within eleven French cancer centres, Consore employs natural language processing to structure the therapeutic management data of approximately 1.3 million cancer patients. These data originate from their electronic medical records, encompassing about 65 million medical records. Thanks to the structured data, which are harmonized within a common data model, and its federated search tool, Consore can create patient cohorts based on patient or tumor characteristics, and treatment modalities. This ability to derive larger cohorts is particularly attractive when studying rare cancers.

conclusionsConsore serves as a tremendous data mining instrument that propels French cancer centres into the big data era. With its federated technical architecture and unique shared data model, Consore facilitates compliance with regulations and acceleration of cancer research projects.

Indexed as

Biomedical ResearchNeoplasmsData MiningElectronic Health RecordsHumansLanguagebig datacancercancer researchdata miningdata warehousenatural language processing

Identifiers

PMID38397680
PMCPMC10887639

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.