Evidence map›Paper›PMID 28281147›Full record

ArticleScience and engineering ethics2018

Molecular Tumor Boards: Ethical Issues in the New Era of Data Medicine.

Henri-Corto Stoeklé, Marie-France Mamzer-Bruneel, Charles-Henry Frouart, Christophe Le Tourneau, Pierre Laurent-Puig, Guillaume Vogt, Christian Hervé

Abstract read
In one paragraph

Article in Science and engineering ethics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Article
  4. The Era of Large-Scale Data in Biological Sciences.Advances in experimental medicine and biology · 2026
    Review
  5. Article
  6. Article
  7. The Essentials of Multiomics.The oncologist · 2022
    Article
  8. Article
  9. Review
  10. Artificial intelligence and computational pathology.Laboratory investigation; a journal of technical methods and pathology · 2021
    Review
  11. Article
  12. Replacing Paper Informed Consent with Electronic Informed Consent for Research in Academic Medical Centers: A Scoping Review.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  13. Article
  14. Review
  15. Review
  16. 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

7 authors.

Henri-Corto StoekléMedical Ethics and Legal Medicine Laboratory EA4569, Paris Descartes University, Centre Universitaire des Saints-Pères, Paris, France.
Marie-France Mamzer-BruneelMedical Ethics and Legal Medicine Laboratory EA4569, Paris Descartes University, Centre Universitaire des Saints-Pères, Paris, France.
Charles-Henry FrouartMedical Ethics and Legal Medicine Laboratory EA4569, Paris Descartes University, Centre Universitaire des Saints-Pères, Paris, France.
Christophe Le TourneauDepartment of Medical Oncology, Institut Curie, Paris, Saint-Cloud, France.
Pierre Laurent-PuigCancer Research for Personalized Medicine (CARPEM), Paris Descartes, APHP (HEGP, Cochin, Necker) INSERM, Paris, France.
Guillaume VogtMedical Ethics and Legal Medicine Laboratory EA4569, Paris Descartes University, Centre Universitaire des Saints-Pères, Paris, France. guillaume.vogt@inserm.fr.
Christian HervéMedical Ethics and Legal Medicine Laboratory EA4569, Paris Descartes University, Centre Universitaire des Saints-Pères, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The practice and development of modern medicine requires large amounts of data, particularly in the domain of cancer. The future of personalized medicine lies neither with "genomic medicine" nor with "precision medicine", but with "data medicine" (DM) (big data, data mining). The establishment of this DM has required far-reaching changes, to establish four essential elements connecting patients and doctors: biobanks, databases, bioinformatic platforms and genomic platforms. The "transformation" of scientific research areas, such as genetics, bioinformatics and biostatistics, into clinical specialties has generated a new vision of care. Molecular tumor boards (MTB) are one response to these changes and are now providing better access to next-generation sequencing (NGS) and new cancer treatments to patients with inoperable or metastatic cancers, and those for whom the usual treatment has failed. However, MTB face a crucial ethical challenge: maintaining and improving the trust of patients, clinicians, researchers and industry in academic medical centers supported by private or public funding rather than providing genetic data directly to private companies. We believe that, in this era of DM, appropriate modern digital communication networks will be required to maintain this trust and to improve the organization and effectiveness of the system. There is, therefore, a need to reconsider the form and content of informed consent (IC) documents at all academic medical centers and to introduce dynamic and electronic informed consent (e-IC).

Indexed as

Big DataData MiningBiological Specimen BanksBiomedical ResearchCommerceCommunicationDatabases as TopicDelivery of Health CareElectronicsEthics, ResearchGeneticsHumansNeoplasmsPrecision MedicineTrustUniversitiesBiobankBioinformaticDatabaseData medicine (DM)Dynamic consentElectronic informed consent (e-IC)Ethical issuesGenomicMolecular tumor board (MTB)Personalized medicine

Identifiers

PMID28281147
PMCPMC5799317

What OpenQuestion holds

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LicenceCC BY
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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.