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The DOI matches its Crossref record; 179 of the 179 references it cites were found in a registry or an index.

Personalized early detection and prevention of breast cancer: ENVISION consensus statement

Open access
Pashayan, Nora, Antoniou, Antonis C., Ivanus, Urska, Esserman, Laura J., Easton, Douglas F., French, David, Sroczynski, Gaby, Hall, Per, Cuzick, Jack, Evans, D. Gareth, Simard, Jacques, Garcia-Closas, Montserrat, Schmutzler, Rita, Wegwarth, Odette, Pharoah, Paul, Moorthie, Sowmiya, De Montgolfier, Sandrine, Baron, Camille, Herceg, Zdenko, Turnbull, Clare, Balleyguier, Corinne, Rossi, Paolo Giorgi, Wesseling, Jelle, Ritchie, David, Tischkowitz, Marc, Broeders, Mireille, Reisel, Dan, Metspalu, Andres, Callender, Thomas, de Koning, Harry, Devilee, Peter, Delaloge, Suzette, Schmidt, Marjanka K., Widschwendter, Martin·2020·Nature Reviews Clinical Oncology

Abstract

The European Collaborative on Personalized Early Detection and Prevention of Breast Cancer (ENVISION) brings together several international research consortia working on different aspects of the personalized early detection and prevention of breast cancer. In a consensus conference held in 2019, the members of this network identified research areas requiring development to enable evidence-based personalized interventions that might improve the benefits and reduce the harms of existing breast cancer screening and prevention programmes. The priority areas identified were: 1) breast cancer subtype-specific risk assessment tools applicable to women of all ancestries; 2) intermediate surrogate markers of response to preventive measures; 3) novel non-surgical preventive measures to reduce the incidence of breast cancer of poor prognosis; and 4) hybrid effectiveness–implementation research combined with modelling studies to evaluate the long-term population outcomes of risk-based early detection strategies. The implementation of such programmes would require health-care systems to be open to learning and adapting, the engagement of a diverse range of stakeholders and tailoring to societal norms and values, while also addressing the ethical and legal issues. In this Consensus Statement, we discuss the current state of breast cancer risk prediction, risk-stratified prevention and early detection strategies, and their implementation. Throughout, we highlight priorities for advancing each of these areas.

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Metadata

Authors
Pashayan, N., Antoniou, A. C., Ivanus, U., Esserman, L. J., Easton, D. F., French, D., Sroczynski, G., Hall, P., Cuzick, J., Evans, D. G., Simard, J., Garcia-Closas, M., Schmutzler, R., Wegwarth, O., Pharoah, P., Moorthie, S., De Montgolfier, S., Baron, C., Herceg, Z., Turnbull, C., Balleyguier, C., Rossi, P. G., Wesseling, J., Ritchie, D., Tischkowitz, M., Broeders, M., Reisel, D., Metspalu, A., Callender, T., de Koning, H., Devilee, P., Delaloge, S., Schmidt, M. K., & Widschwendter, M.
Venue
Nature Reviews Clinical Oncology
Published
2020-06-18
Volume
17
Issue
11
Pages
687-705
ISSN
  • 1759-4774 (ISSN-L)
  • 1759-4782
OpenAlex
W3027335902
Cited by
438
References
179
FWCI
6.89
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Personalized early detection and prevention of breast cancer: ENVISION consensus statement. https://app.cochat.ai/papers/10.1038/s41571-020-0388-9
The paper
Pashayan, N., Antoniou, A. C., Ivanus, U., Esserman, L. J., Easton, D. F., French, D., Sroczynski, G., Hall, P., Cuzick, J., Evans, D. G., Simard, J., Garcia-Closas, M., Schmutzler, R., Wegwarth, O., Pharoah, P., Moorthie, S., De Montgolfier, S., Baron, C., Herceg, Z., . . . Widschwendter, M. (2020). Personalized early detection and prevention of breast cancer: ENVISION consensus statement. Nature Reviews Clinical Oncology. https://doi.org/10.1038/s41571-020-0388-9

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.